{"content_id":"a595z994mk","slug":"global-agent-skills-top-5-ranking-methodology","locale":"en","schema_type":"Report","category":"report","category_name":"Report","title":"Global Top 5 Agent Skills: Interpreting Rankings and Validation Criteria","summary":"This article analyzes the purposes and differences of five agent skill repositories presented as top-ranked in materials dated August 10, 2026. Because there is no reproducible GitHub snapshot for the displayed rankings and figures, they are not definitive statistics. Repository popularity must also be distinguished from the quality of individual skills.","sponsorship_disclosure":null,"author":{"name":"Injoys Editorial Team","url":"https://injoys.com/ko/about"},"key_points":["An Agent Skill is an executable knowledge package that bundles instructions, scripts, and reference materials in a single folder for an agent to load when needed for a specific task.","The Top 5 in the provided materials are obra/superpowers, affaan-m/everything-claude-code, mattpocock/skills, multica-ai/andrej-karpathy-skills, and anthropics/skills, in that order, but they must be independently verified against historical GitHub data.","Because GitHub stars are awarded to an entire repository, they do not directly indicate the installation count, execution success rate, or maintenance level of individual skills.","The leading repositories share a focus on controlling work processes, such as clarifying requirements, planning, testing, and review, rather than immediately generating results.","Before actual adoption, licenses, prompt injection, script permissions, external communications, and version pinning must be checked."],"content_markdown":"An AI agent's **skill (Agent Skill)** is not simply a collection of prompts. It is an executable knowledge package that bundles the instructions, executable files, and reference materials needed to perform a specific task, allowing the agent to discover and read them when needed.\n\nThis document analyzes ranking data provided as of August 10, 2026, but does not treat the displayed figures as confirmed GitHub statistics. GitHub stars and installation counts are different metrics, and verifying figures from a past point in time requires the API responses or preserved snapshots from that time.\n\n## What Is an Agent Skill?\n\nAn Agent Skill generally contains the following elements within a single directory.\n\n- **Metadata:** Indicates the skill's name, purpose, and conditions for use.\n- **Core instructions:** Usually records the workflow, constraints, and verification criteria in `SKILL.md`.\n- **Scripts:** Executes repeatable processes or processes requiring accuracy through code.\n- **Reference materials:** Provides API specifications, organizational rules, examples, templates, and more.\n- **Result validation criteria:** Specifies tests, reviews, and completion conditions.\n\nThe key is not to include every instruction in the context each time, but to let the agent find skills relevant to the task and progressively read only what it needs. This structure reduces the burden of long system prompts and makes it possible to reuse the same procedures across multiple tasks.\n\n### Differences Between Skills and Prompts\n\n| Category | General prompt | Agent Skill |\n|---|---|---|\n| Basic unit | A single request or conversational instruction | A package composed of directories and files |\n| When used | When entered directly by the user | Can be selected dynamically for relevant tasks |\n| Contents | Mainly natural-language instructions | Instructions, scripts, materials, templates |\n| Reusability | Depends on the conversation and user habits | Can be version-controlled in a repository |\n| Validation method | Results are checked afterward | Can embed planning, testing, and review procedures |\n\n## How to Read the Top 5 Rankings and Figures\n\nThe provided material presents the following five repositories and figures as a ranking by GitHub stars. However, it does not include date-specific API results or preserved snapshots substantiating these figures. Therefore, the numbers in the table below are **figures stated in the provided material**, not independently verified statistics.\n\n| Provided rank | Repository | Figure stated in the provided material | Primary nature |\n|---:|---|---:|---|\n| 1 | `obra/superpowers` | 269,762 | A collection of skills that controls the development process from requirements confirmation through testing and review |\n| 2 | `affaan-m/everything-claude-code` | 239,034 | A broad collection of agents, commands, skills, hooks, and other components for Claude Code |\n| 3 | `mattpocock/skills` | 211,297 | A collection of development skills that uses questions to refine ideas and designs |\n| 4 | `multica-ai/andrej-karpathy-skills` | 200,937 | A community-created collection of instructions emphasizing the connection between the reason for a change and the request |\n| 5 | `anthropics/skills` | 167,251 | Anthropic's public skill examples for use in documentation, development work, and more |\n\n### Why This Cannot Be Called an Exact Download Ranking\n\n1. **GitHub stars are not installations.** They can also indicate interest or serve as bookmarks, and do not show whether something was actually run.\n2. **Stars are measured per repository.** Even if one repository contains dozens of skills, they do not reveal which skill is popular.\n3. **Current values do not prove past values.** Reproducing the ranking as of August 10, 2026 requires API responses saved that day or a reliable archive.\n4. **Results vary depending on the scope of aggregation.** It is first necessary to define whether repositories, individual directories, package installations, or execution calls are being counted.\n5. **Forks and copies may be mixed in.** If the same skill is duplicated across multiple harnesses or translations, it is difficult to compare scale based on file counts alone.\n\nIt is therefore safer to view this ranking not as the “confirmed global Top 5 by usage on August 10, 2026,” but as **an exploratory list for comparing the provided candidate repositories**.\n\n## No. 1 Candidate: obra/superpowers\n\nThe core value of `obra/superpowers` lies in controlling the workflow so that a coding agent does not immediately jump into implementation. It encourages the agent to confirm requirements, organize the design, divide the plan into small tasks, and then complete the work through testing and review.\n\nIts main features are as follows.\n\n- Confirms the user's actual purpose and constraints before implementation.\n- Isolates changes by using a separate branch or workspace.\n- Breaks large requests down into small, verifiable steps.\n- Emphasizes test-first development and systematic debugging procedures.\n- Rechecks test results and the scope of changes before declaring completion.\n\nAn important design principle demonstrated by this repository is that “preventing premature implementation” may be more important to agent quality than “generating more code.”\n\n## No. 2 Candidate: affaan-m/everything-claude-code\n\nThe `affaan-m/ECC` in the provided material is interpreted as referring to the public repository `affaan-m/everything-claude-code`. Rather than being a single skill, this repository is closer to a toolbox that broadly collects various components needed to operate Claude Code.\n\nComponents generally worth examining include the following.\n\n- Agents and subagents for different roles\n- Commands and skills that invoke repetitive tasks\n- Hooks that intervene before and after tool execution\n- Project rules and context management methods\n- Examples of integrations with external tools or MCP\n\nIts broad range of components is advantageous for rapid experimentation, but copying every file at once is difficult to recommend. Because hooks and scripts may be involved in modifying files or executing commands, only the necessary items should be selected, reviewed, and then adopted.\n\n## No. 3 Candidate: mattpocock/skills\n\n`mattpocock/skills` is a repository that publicly shares the agent instructions used by Matt Pocock, who is known as a TypeScript educator. A representative approach is to have the agent avoid accepting the user's idea as-is and instead ask repeated questions to reveal ambiguities and design decisions.\n\nThis approach is useful in the following situations.\n\n- When feature requirements are provided in only one or two sentences\n- When an implementation method comes to mind but the problem definition is unclear\n- When design decisions must be documented before writing code\n- When explicit reasoning is needed for team members to review\n\nThe license must not be inferred as a single license covering the entire repository. The notices in individual directories and files must be checked in addition to the root license, and whether modification, redistribution, and commercial use are permitted must be assessed separately. “Publicly available source” and “open source” do not mean the same thing.\n\n## No. 4 Candidate: multica-ai/andrej-karpathy-skills\n\n`multica-ai/andrej-karpathy-skills` is a community repository created based on Andrej Karpathy's name and publicly known development principles. Even if a person's name appears in the title, it should not automatically be interpreted as an official project created or endorsed directly by that person.\n\nA noteworthy perspective in this repository is the traceability that connects code changes to user requests.\n\n- What request makes this change necessary?\n- Were files modified even though they did not need to be changed?\n- Does abstraction or refactoring obscure the original purpose?\n- Can each change be explained through a test or an observable result?\n\nThis approach helps reduce the problem of agents making excessive modifications beyond the scope of the request. However, rather than claiming that it fully reproduces a specific expert's way of thinking, it is more accurate to view it as a reconstruction of public principles into agent instructions.\n\n## No. 5 Candidate: anthropics/skills\n\n`anthropics/skills` is an Agent Skills repository published by the Anthropic organization. It can serve as a reference point for understanding the folder structure of an Agent Skill and how to write `SKILL.md`, as well as for examining practical examples.\n\nThe number of `SKILL.md` files in the repository changes depending on the branch and commit. Including translations, test fixtures, harness-specific copies, and examples can inflate the count, so stating the number of files at a particular point in time requires the following conditions.\n\n- Target commit hash\n- Branch searched\n- File search command used\n- Rules for excluding translations and copies\n- Directory criteria used to identify canonical versions\n\nTherefore, the figures in the provided material—“897 total, 284 canonical”—are difficult to cite as confirmed figures until the calculation procedure and commit have been verified.\n\n## Common Design Principles Found in Popular Repositories\n\n### 1. They Prioritize Controllable Procedures Over Autonomy\n\nGood skills do not simply give agents more authority. They establish gates such as requirements confirmation, plan approval, testing, and review to prevent agents from moving rapidly in the wrong direction.\n\n### 2. They Structure Experts' Decision-Making Processes Rather Than Their Results\n\nUseful skills do not stop at role-playing instructions such as “answer like an expert.” They turn into executable procedures the questions experts ask first, the evidence on which they base decisions, and when they question the results.\n\n### 3. They Confirm Why Before How\n\nThe top candidates confirm the purpose in different ways.\n\n- `superpowers`: Confirms the actual requirements and design before implementation.\n- `mattpocock/skills`: Reveals gaps in an idea through questions.\n- `andrej-karpathy-skills`: Traces code changes back to the original user request.\n\nThis shows that the bottleneck for coding agents lies not only in syntax or code-generation ability, but also in clearly defining what should be changed and why.\n\n### 4. They Specify Completion Conditions\n\nA task is not complete simply because “the code was written.” Observable completion conditions are required, such as passing tests, meeting requirements, confirming the scope of changes, and completing a review.\n\n## What Rankings Miss: Security, Reproducibility, and Maintenance\n\nPopularity rankings alone cannot determine whether a skill is safe and practical. In actual adoption, the following factors may be more important than star counts.\n\n| Review area | Question to check | Example risk |\n|---|---|---|\n| Permissions | Does the skill access the shell, file system, or network? | Unnecessary file deletion or external transmission |\n| Prompt injection | Is it designed to trust instructions in external documents? | A web document overrides existing rules |\n| Supply chain | Does it immediately run remote scripts or packages? | Execution of modified dependency code |\n| Secrets | Do logs and results include tokens or environment variables? | An API key is printed or committed |\n| Version | Is it pinned to a specific commit? | Behavior and permissions change after an update |\n| License | Are the conditions for use, modification, and distribution clear? | Violation of restrictions on commercial reuse |\n| Maintenance | Are recent changes and issue responses ongoing? | Outdated tool calls and vulnerable examples |\n| Evaluation | Has the success rate been measured across repeated runs? | Only impressive examples succeed while general tasks fail |\n\nIn particular, a skill's natural-language instructions can have effects similar to executable code. This is because, when an agent has permission to use tools, a single line of instructions may lead to command execution or file modification.\n\n## How to Create a Trustworthy Popularity Ranking\n\nTo create a reproducible ranking, the following information must also be disclosed.\n\n1. **Measurement time:** Record not only the date but also the time zone.\n2. **Target list:** Disclose the repositories to include or exclude and the criteria for handling forks.\n3. **Metric definition:** Specify whether GitHub stars, forks, installations, or executions are being measured.\n4. **Raw responses:** Preserve the GitHub API's JSON results and the collection script.\n5. **Commit pinning:** Use commit hashes for file counts and license analysis.\n6. **Deduplication:** Establish rules for handling translations, copies, and vendor directories.\n7. **Parallel quality metrics:** Also consider test pass rates, issue responses, recent releases, and security review results.\n\nA more useful evaluation presents multiple metrics separately rather than relying on star count alone. For example, “interest” can be measured by stars, “adoption” by installations, “activity” by recent contributions and issue responses, and “quality” by success rates in repeated evaluations.\n\n## Checklist for Choosing Skills Yourself\n\n- Do the task you want to solve and the skill's invocation conditions align?\n- Have you distinguished risky operations that require user confirmation before execution?\n- Have you personally reviewed the contents of scripts and hooks?\n- Have you checked external network requests and the destinations of data transfers?\n- Does the license permit the organization's intended use?\n- Have you adopted only the necessary files rather than the entire repository?\n- Have you pinned the commit or release version?\n- Have you repeatedly tested it with evaluation tasks similar to the actual project?\n- Have you used an isolated environment where changes can be rolled back if it fails?\n\n## Conclusion\n\nThe five repositories presented in the provided material illustrate different directions in the agent skill ecosystem. `superpowers` excels at procedural control, `everything-claude-code` at broad operational configuration, `mattpocock/skills` at question-driven design refinement, `andrej-karpathy-skills` at tracing the reasons for changes, and `anthropics/skills` at understanding skill structures and examples.\n\nHowever, repository star counts should not be interpreted as the global popularity or quality of individual skills. Actual selection should prioritize suitability for the task, permission scope, licensing, security, maintenance status, and repeated evaluation results over rankings.","content_html":"\u003cp\u003eAn AI agent's \u003cstrong\u003eskill (Agent Skill)\u003c/strong\u003e is not simply a collection of prompts. It is an executable knowledge package that bundles the instructions, executable files, and reference materials needed to perform a specific task, allowing the agent to discover and read them when needed.\u003c/p\u003e\n\u003cp\u003eThis document analyzes ranking data provided as of August 10, 2026, but does not treat the displayed figures as confirmed GitHub statistics. GitHub stars and installation counts are different metrics, and verifying figures from a past point in time requires the API responses or preserved snapshots from that time.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#what-is-an-agent-skill\" class=\"anchor\" id=\"what-is-an-agent-skill\"\u003e\u003c/a\u003eWhat Is an Agent Skill?\u003c/h2\u003e\n\u003cp\u003eAn Agent Skill generally contains the following elements within a single directory.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMetadata:\u003c/strong\u003e Indicates the skill's name, purpose, and conditions for use.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCore instructions:\u003c/strong\u003e Usually records the workflow, constraints, and verification criteria in \u003ccode\u003eSKILL.md\u003c/code\u003e.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eScripts:\u003c/strong\u003e Executes repeatable processes or processes requiring accuracy through code.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReference materials:\u003c/strong\u003e Provides API specifications, organizational rules, examples, templates, and more.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResult validation criteria:\u003c/strong\u003e Specifies tests, reviews, and completion conditions.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eThe key is not to include every instruction in the context each time, but to let the agent find skills relevant to the task and progressively read only what it needs. This structure reduces the burden of long system prompts and makes it possible to reuse the same procedures across multiple tasks.\u003c/p\u003e\n\u003ch3\u003e\n\u003ca href=\"#differences-between-skills-and-prompts\" class=\"anchor\" id=\"differences-between-skills-and-prompts\"\u003e\u003c/a\u003eDifferences Between Skills and Prompts\u003c/h3\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eCategory\u003c/th\u003e\n\u003cth\u003eGeneral prompt\u003c/th\u003e\n\u003cth\u003eAgent Skill\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Category\"\u003eBasic unit\u003c/td\u003e\n\u003ctd data-label=\"General prompt\"\u003eA single request or conversational instruction\u003c/td\u003e\n\u003ctd data-label=\"Agent Skill\"\u003eA package composed of directories and files\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Category\"\u003eWhen used\u003c/td\u003e\n\u003ctd data-label=\"General prompt\"\u003eWhen entered directly by the user\u003c/td\u003e\n\u003ctd data-label=\"Agent Skill\"\u003eCan be selected dynamically for relevant tasks\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Category\"\u003eContents\u003c/td\u003e\n\u003ctd data-label=\"General prompt\"\u003eMainly natural-language instructions\u003c/td\u003e\n\u003ctd data-label=\"Agent Skill\"\u003eInstructions, scripts, materials, templates\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Category\"\u003eReusability\u003c/td\u003e\n\u003ctd data-label=\"General prompt\"\u003eDepends on the conversation and user habits\u003c/td\u003e\n\u003ctd data-label=\"Agent Skill\"\u003eCan be version-controlled in a repository\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Category\"\u003eValidation method\u003c/td\u003e\n\u003ctd data-label=\"General prompt\"\u003eResults are checked afterward\u003c/td\u003e\n\u003ctd data-label=\"Agent Skill\"\u003eCan embed planning, testing, and review procedures\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003ch2\u003e\n\u003ca href=\"#how-to-read-the-top-5-rankings-and-figures\" class=\"anchor\" id=\"how-to-read-the-top-5-rankings-and-figures\"\u003e\u003c/a\u003eHow to Read the Top 5 Rankings and Figures\u003c/h2\u003e\n\u003cp\u003eThe provided material presents the following five repositories and figures as a ranking by GitHub stars. However, it does not include date-specific API results or preserved snapshots substantiating these figures. Therefore, the numbers in the table below are \u003cstrong\u003efigures stated in the provided material\u003c/strong\u003e, not independently verified statistics.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eProvided rank\u003c/th\u003e\n\u003cth\u003eRepository\u003c/th\u003e\n\u003cth\u003eFigure stated in the provided material\u003c/th\u003e\n\u003cth\u003ePrimary nature\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Provided rank\"\u003e1\u003c/td\u003e\n\u003ctd data-label=\"Repository\"\u003e\u003ccode\u003eobra/superpowers\u003c/code\u003e\u003c/td\u003e\n\u003ctd data-label=\"Figure stated in the provided material\"\u003e269,762\u003c/td\u003e\n\u003ctd data-label=\"Primary nature\"\u003eA collection of skills that controls the development process from requirements confirmation through testing and review\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Provided rank\"\u003e2\u003c/td\u003e\n\u003ctd data-label=\"Repository\"\u003e\u003ccode\u003eaffaan-m/everything-claude-code\u003c/code\u003e\u003c/td\u003e\n\u003ctd data-label=\"Figure stated in the provided material\"\u003e239,034\u003c/td\u003e\n\u003ctd data-label=\"Primary nature\"\u003eA broad collection of agents, commands, skills, hooks, and other components for Claude Code\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Provided rank\"\u003e3\u003c/td\u003e\n\u003ctd data-label=\"Repository\"\u003e\u003ccode\u003emattpocock/skills\u003c/code\u003e\u003c/td\u003e\n\u003ctd data-label=\"Figure stated in the provided material\"\u003e211,297\u003c/td\u003e\n\u003ctd data-label=\"Primary nature\"\u003eA collection of development skills that uses questions to refine ideas and designs\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Provided rank\"\u003e4\u003c/td\u003e\n\u003ctd data-label=\"Repository\"\u003e\u003ccode\u003emultica-ai/andrej-karpathy-skills\u003c/code\u003e\u003c/td\u003e\n\u003ctd data-label=\"Figure stated in the provided material\"\u003e200,937\u003c/td\u003e\n\u003ctd data-label=\"Primary nature\"\u003eA community-created collection of instructions emphasizing the connection between the reason for a change and the request\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Provided rank\"\u003e5\u003c/td\u003e\n\u003ctd data-label=\"Repository\"\u003e\u003ccode\u003eanthropics/skills\u003c/code\u003e\u003c/td\u003e\n\u003ctd data-label=\"Figure stated in the provided material\"\u003e167,251\u003c/td\u003e\n\u003ctd data-label=\"Primary nature\"\u003eAnthropic's public skill examples for use in documentation, development work, and more\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003ch3\u003e\n\u003ca href=\"#why-this-cannot-be-called-an-exact-download-ranking\" class=\"anchor\" id=\"why-this-cannot-be-called-an-exact-download-ranking\"\u003e\u003c/a\u003eWhy This Cannot Be Called an Exact Download Ranking\u003c/h3\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eGitHub stars are not installations.\u003c/strong\u003e They can also indicate interest or serve as bookmarks, and do not show whether something was actually run.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStars are measured per repository.\u003c/strong\u003e Even if one repository contains dozens of skills, they do not reveal which skill is popular.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCurrent values do not prove past values.\u003c/strong\u003e Reproducing the ranking as of August 10, 2026 requires API responses saved that day or a reliable archive.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResults vary depending on the scope of aggregation.\u003c/strong\u003e It is first necessary to define whether repositories, individual directories, package installations, or execution calls are being counted.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eForks and copies may be mixed in.\u003c/strong\u003e If the same skill is duplicated across multiple harnesses or translations, it is difficult to compare scale based on file counts alone.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eIt is therefore safer to view this ranking not as the “confirmed global Top 5 by usage on August 10, 2026,” but as \u003cstrong\u003ean exploratory list for comparing the provided candidate repositories\u003c/strong\u003e.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#no-1-candidate-obrasuperpowers\" class=\"anchor\" id=\"no-1-candidate-obrasuperpowers\"\u003e\u003c/a\u003eNo. 1 Candidate: obra/superpowers\u003c/h2\u003e\n\u003cp\u003eThe core value of \u003ccode\u003eobra/superpowers\u003c/code\u003e lies in controlling the workflow so that a coding agent does not immediately jump into implementation. It encourages the agent to confirm requirements, organize the design, divide the plan into small tasks, and then complete the work through testing and review.\u003c/p\u003e\n\u003cp\u003eIts main features are as follows.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eConfirms the user's actual purpose and constraints before implementation.\u003c/li\u003e\n\u003cli\u003eIsolates changes by using a separate branch or workspace.\u003c/li\u003e\n\u003cli\u003eBreaks large requests down into small, verifiable steps.\u003c/li\u003e\n\u003cli\u003eEmphasizes test-first development and systematic debugging procedures.\u003c/li\u003e\n\u003cli\u003eRechecks test results and the scope of changes before declaring completion.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eAn important design principle demonstrated by this repository is that “preventing premature implementation” may be more important to agent quality than “generating more code.”\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#no-2-candidate-affaan-meverything-claude-code\" class=\"anchor\" id=\"no-2-candidate-affaan-meverything-claude-code\"\u003e\u003c/a\u003eNo. 2 Candidate: affaan-m/everything-claude-code\u003c/h2\u003e\n\u003cp\u003eThe \u003ccode\u003eaffaan-m/ECC\u003c/code\u003e in the provided material is interpreted as referring to the public repository \u003ccode\u003eaffaan-m/everything-claude-code\u003c/code\u003e. Rather than being a single skill, this repository is closer to a toolbox that broadly collects various components needed to operate Claude Code.\u003c/p\u003e\n\u003cp\u003eComponents generally worth examining include the following.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eAgents and subagents for different roles\u003c/li\u003e\n\u003cli\u003eCommands and skills that invoke repetitive tasks\u003c/li\u003e\n\u003cli\u003eHooks that intervene before and after tool execution\u003c/li\u003e\n\u003cli\u003eProject rules and context management methods\u003c/li\u003e\n\u003cli\u003eExamples of integrations with external tools or MCP\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eIts broad range of components is advantageous for rapid experimentation, but copying every file at once is difficult to recommend. Because hooks and scripts may be involved in modifying files or executing commands, only the necessary items should be selected, reviewed, and then adopted.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#no-3-candidate-mattpocockskills\" class=\"anchor\" id=\"no-3-candidate-mattpocockskills\"\u003e\u003c/a\u003eNo. 3 Candidate: mattpocock/skills\u003c/h2\u003e\n\u003cp\u003e\u003ccode\u003emattpocock/skills\u003c/code\u003e is a repository that publicly shares the agent instructions used by Matt Pocock, who is known as a TypeScript educator. A representative approach is to have the agent avoid accepting the user's idea as-is and instead ask repeated questions to reveal ambiguities and design decisions.\u003c/p\u003e\n\u003cp\u003eThis approach is useful in the following situations.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhen feature requirements are provided in only one or two sentences\u003c/li\u003e\n\u003cli\u003eWhen an implementation method comes to mind but the problem definition is unclear\u003c/li\u003e\n\u003cli\u003eWhen design decisions must be documented before writing code\u003c/li\u003e\n\u003cli\u003eWhen explicit reasoning is needed for team members to review\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eThe license must not be inferred as a single license covering the entire repository. The notices in individual directories and files must be checked in addition to the root license, and whether modification, redistribution, and commercial use are permitted must be assessed separately. “Publicly available source” and “open source” do not mean the same thing.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#no-4-candidate-multica-aiandrej-karpathy-skills\" class=\"anchor\" id=\"no-4-candidate-multica-aiandrej-karpathy-skills\"\u003e\u003c/a\u003eNo. 4 Candidate: multica-ai/andrej-karpathy-skills\u003c/h2\u003e\n\u003cp\u003e\u003ccode\u003emultica-ai/andrej-karpathy-skills\u003c/code\u003e is a community repository created based on Andrej Karpathy's name and publicly known development principles. Even if a person's name appears in the title, it should not automatically be interpreted as an official project created or endorsed directly by that person.\u003c/p\u003e\n\u003cp\u003eA noteworthy perspective in this repository is the traceability that connects code changes to user requests.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhat request makes this change necessary?\u003c/li\u003e\n\u003cli\u003eWere files modified even though they did not need to be changed?\u003c/li\u003e\n\u003cli\u003eDoes abstraction or refactoring obscure the original purpose?\u003c/li\u003e\n\u003cli\u003eCan each change be explained through a test or an observable result?\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eThis approach helps reduce the problem of agents making excessive modifications beyond the scope of the request. However, rather than claiming that it fully reproduces a specific expert's way of thinking, it is more accurate to view it as a reconstruction of public principles into agent instructions.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#no-5-candidate-anthropicsskills\" class=\"anchor\" id=\"no-5-candidate-anthropicsskills\"\u003e\u003c/a\u003eNo. 5 Candidate: anthropics/skills\u003c/h2\u003e\n\u003cp\u003e\u003ccode\u003eanthropics/skills\u003c/code\u003e is an Agent Skills repository published by the Anthropic organization. It can serve as a reference point for understanding the folder structure of an Agent Skill and how to write \u003ccode\u003eSKILL.md\u003c/code\u003e, as well as for examining practical examples.\u003c/p\u003e\n\u003cp\u003eThe number of \u003ccode\u003eSKILL.md\u003c/code\u003e files in the repository changes depending on the branch and commit. Including translations, test fixtures, harness-specific copies, and examples can inflate the count, so stating the number of files at a particular point in time requires the following conditions.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eTarget commit hash\u003c/li\u003e\n\u003cli\u003eBranch searched\u003c/li\u003e\n\u003cli\u003eFile search command used\u003c/li\u003e\n\u003cli\u003eRules for excluding translations and copies\u003c/li\u003e\n\u003cli\u003eDirectory criteria used to identify canonical versions\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eTherefore, the figures in the provided material—“897 total, 284 canonical”—are difficult to cite as confirmed figures until the calculation procedure and commit have been verified.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#common-design-principles-found-in-popular-repositories\" class=\"anchor\" id=\"common-design-principles-found-in-popular-repositories\"\u003e\u003c/a\u003eCommon Design Principles Found in Popular Repositories\u003c/h2\u003e\n\u003ch3\u003e\n\u003ca href=\"#1-they-prioritize-controllable-procedures-over-autonomy\" class=\"anchor\" id=\"1-they-prioritize-controllable-procedures-over-autonomy\"\u003e\u003c/a\u003e1. They Prioritize Controllable Procedures Over Autonomy\u003c/h3\u003e\n\u003cp\u003eGood skills do not simply give agents more authority. They establish gates such as requirements confirmation, plan approval, testing, and review to prevent agents from moving rapidly in the wrong direction.\u003c/p\u003e\n\u003ch3\u003e\n\u003ca href=\"#2-they-structure-experts-decision-making-processes-rather-than-their-results\" class=\"anchor\" id=\"2-they-structure-experts-decision-making-processes-rather-than-their-results\"\u003e\u003c/a\u003e2. They Structure Experts' Decision-Making Processes Rather Than Their Results\u003c/h3\u003e\n\u003cp\u003eUseful skills do not stop at role-playing instructions such as “answer like an expert.” They turn into executable procedures the questions experts ask first, the evidence on which they base decisions, and when they question the results.\u003c/p\u003e\n\u003ch3\u003e\n\u003ca href=\"#3-they-confirm-why-before-how\" class=\"anchor\" id=\"3-they-confirm-why-before-how\"\u003e\u003c/a\u003e3. They Confirm Why Before How\u003c/h3\u003e\n\u003cp\u003eThe top candidates confirm the purpose in different ways.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ccode\u003esuperpowers\u003c/code\u003e: Confirms the actual requirements and design before implementation.\u003c/li\u003e\n\u003cli\u003e\n\u003ccode\u003emattpocock/skills\u003c/code\u003e: Reveals gaps in an idea through questions.\u003c/li\u003e\n\u003cli\u003e\n\u003ccode\u003eandrej-karpathy-skills\u003c/code\u003e: Traces code changes back to the original user request.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eThis shows that the bottleneck for coding agents lies not only in syntax or code-generation ability, but also in clearly defining what should be changed and why.\u003c/p\u003e\n\u003ch3\u003e\n\u003ca href=\"#4-they-specify-completion-conditions\" class=\"anchor\" id=\"4-they-specify-completion-conditions\"\u003e\u003c/a\u003e4. They Specify Completion Conditions\u003c/h3\u003e\n\u003cp\u003eA task is not complete simply because “the code was written.” Observable completion conditions are required, such as passing tests, meeting requirements, confirming the scope of changes, and completing a review.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#what-rankings-miss-security-reproducibility-and-maintenance\" class=\"anchor\" id=\"what-rankings-miss-security-reproducibility-and-maintenance\"\u003e\u003c/a\u003eWhat Rankings Miss: Security, Reproducibility, and Maintenance\u003c/h2\u003e\n\u003cp\u003ePopularity rankings alone cannot determine whether a skill is safe and practical. In actual adoption, the following factors may be more important than star counts.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eReview area\u003c/th\u003e\n\u003cth\u003eQuestion to check\u003c/th\u003e\n\u003cth\u003eExample risk\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Review area\"\u003ePermissions\u003c/td\u003e\n\u003ctd data-label=\"Question to check\"\u003eDoes the skill access the shell, file system, or network?\u003c/td\u003e\n\u003ctd data-label=\"Example risk\"\u003eUnnecessary file deletion or external transmission\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Review area\"\u003ePrompt injection\u003c/td\u003e\n\u003ctd data-label=\"Question to check\"\u003eIs it designed to trust instructions in external documents?\u003c/td\u003e\n\u003ctd data-label=\"Example risk\"\u003eA web document overrides existing rules\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Review area\"\u003eSupply chain\u003c/td\u003e\n\u003ctd data-label=\"Question to check\"\u003eDoes it immediately run remote scripts or packages?\u003c/td\u003e\n\u003ctd data-label=\"Example risk\"\u003eExecution of modified dependency code\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Review area\"\u003eSecrets\u003c/td\u003e\n\u003ctd data-label=\"Question to check\"\u003eDo logs and results include tokens or environment variables?\u003c/td\u003e\n\u003ctd data-label=\"Example risk\"\u003eAn API key is printed or committed\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Review area\"\u003eVersion\u003c/td\u003e\n\u003ctd data-label=\"Question to check\"\u003eIs it pinned to a specific commit?\u003c/td\u003e\n\u003ctd data-label=\"Example risk\"\u003eBehavior and permissions change after an update\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Review area\"\u003eLicense\u003c/td\u003e\n\u003ctd data-label=\"Question to check\"\u003eAre the conditions for use, modification, and distribution clear?\u003c/td\u003e\n\u003ctd data-label=\"Example risk\"\u003eViolation of restrictions on commercial reuse\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Review area\"\u003eMaintenance\u003c/td\u003e\n\u003ctd data-label=\"Question to check\"\u003eAre recent changes and issue responses ongoing?\u003c/td\u003e\n\u003ctd data-label=\"Example risk\"\u003eOutdated tool calls and vulnerable examples\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Review area\"\u003eEvaluation\u003c/td\u003e\n\u003ctd data-label=\"Question to check\"\u003eHas the success rate been measured across repeated runs?\u003c/td\u003e\n\u003ctd data-label=\"Example risk\"\u003eOnly impressive examples succeed while general tasks fail\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eIn particular, a skill's natural-language instructions can have effects similar to executable code. This is because, when an agent has permission to use tools, a single line of instructions may lead to command execution or file modification.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#how-to-create-a-trustworthy-popularity-ranking\" class=\"anchor\" id=\"how-to-create-a-trustworthy-popularity-ranking\"\u003e\u003c/a\u003eHow to Create a Trustworthy Popularity Ranking\u003c/h2\u003e\n\u003cp\u003eTo create a reproducible ranking, the following information must also be disclosed.\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eMeasurement time:\u003c/strong\u003e Record not only the date but also the time zone.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTarget list:\u003c/strong\u003e Disclose the repositories to include or exclude and the criteria for handling forks.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMetric definition:\u003c/strong\u003e Specify whether GitHub stars, forks, installations, or executions are being measured.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRaw responses:\u003c/strong\u003e Preserve the GitHub API's JSON results and the collection script.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommit pinning:\u003c/strong\u003e Use commit hashes for file counts and license analysis.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeduplication:\u003c/strong\u003e Establish rules for handling translations, copies, and vendor directories.\u003c/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eParallel quality metrics:\u003c/strong\u003e Also consider test pass rates, issue responses, recent releases, and security review results.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eA more useful evaluation presents multiple metrics separately rather than relying on star count alone. For example, “interest” can be measured by stars, “adoption” by installations, “activity” by recent contributions and issue responses, and “quality” by success rates in repeated evaluations.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#checklist-for-choosing-skills-yourself\" class=\"anchor\" id=\"checklist-for-choosing-skills-yourself\"\u003e\u003c/a\u003eChecklist for Choosing Skills Yourself\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003eDo the task you want to solve and the skill's invocation conditions align?\u003c/li\u003e\n\u003cli\u003eHave you distinguished risky operations that require user confirmation before execution?\u003c/li\u003e\n\u003cli\u003eHave you personally reviewed the contents of scripts and hooks?\u003c/li\u003e\n\u003cli\u003eHave you checked external network requests and the destinations of data transfers?\u003c/li\u003e\n\u003cli\u003eDoes the license permit the organization's intended use?\u003c/li\u003e\n\u003cli\u003eHave you adopted only the necessary files rather than the entire repository?\u003c/li\u003e\n\u003cli\u003eHave you pinned the commit or release version?\u003c/li\u003e\n\u003cli\u003eHave you repeatedly tested it with evaluation tasks similar to the actual project?\u003c/li\u003e\n\u003cli\u003eHave you used an isolated environment where changes can be rolled back if it fails?\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2\u003e\n\u003ca href=\"#conclusion\" class=\"anchor\" id=\"conclusion\"\u003e\u003c/a\u003eConclusion\u003c/h2\u003e\n\u003cp\u003eThe five repositories presented in the provided material illustrate different directions in the agent skill ecosystem. \u003ccode\u003esuperpowers\u003c/code\u003e excels at procedural control, \u003ccode\u003eeverything-claude-code\u003c/code\u003e at broad operational configuration, \u003ccode\u003emattpocock/skills\u003c/code\u003e at question-driven design refinement, \u003ccode\u003eandrej-karpathy-skills\u003c/code\u003e at tracing the reasons for changes, and \u003ccode\u003eanthropics/skills\u003c/code\u003e at understanding skill structures and examples.\u003c/p\u003e\n\u003cp\u003eHowever, repository star counts should not be interpreted as the global popularity or quality of individual skills. Actual selection should prioritize suitability for the task, permission scope, licensing, security, maintenance status, and repeated evaluation results over rankings.\u003c/p\u003e\n","tags":["AI Agents","Claude Code","Agent Skills","GitHub","Coding Agent"],"faqs":[{"question":"How are agent skills different from general prompts?","answer":"General prompts are often instructions given directly in a conversation, whereas agent skills are packages that bundle instructions, scripts, and reference materials into directories so they can be reused and version-controlled. An agent can select skills relevant to a task and read the necessary content progressively."},{"question":"Is the skill with the most GitHub stars the best one?","answer":"No. Stars only indicate interest in a repository and do not guarantee actual installations, execution success rates, security, or the quality of individual skills. If a repository contains multiple skills, it is also impossible to know which skills are actually being used."},{"question":"Is the Top 5 ranking in this document a definitive global ranking?","answer":"No. It is an analysis of the order listed in materials provided by the operator and dated August 10, 2026, and the figures were not independently confirmed because no GitHub API response or preserved snapshot from that time was available. It is appropriate to interpret it as a list of candidates for exploration."},{"question":"Can past rankings be verified using the current number of GitHub stars?","answer":"Because the current repository page shows current values, it cannot directly prove the values on a specific date in the past. Verifying past rankings requires an API response saved at the time, collection logs, or a reliable archive."},{"question":"Can publicly available agent skills be freely used commercially?","answer":"Public availability alone does not permit commercial use. You must check the license at the repository root and any separate notices for individual files or directories, and review the conditions for modification, redistribution, and commercial use separately."},{"question":"Do agent skills also require a security review?","answer":"Yes. Skills may instruct an agent to invoke shell commands, the file system, external networks, or development tools. Scripts and hooks, external communications, handling of secrets, and dependency installation methods should be reviewed before testing them in an isolated environment."},{"question":"Is it better if a repository has more SKILL.md files?","answer":"File count is not a quality metric. It may include translations, test fixtures, templates, and duplicates, and some skills may conflict with one another or be unmaintained. You should fix the commit and counting rules and evaluate only the canonical versions that are actually needed."},{"question":"Is a skill named after an expert an official project by that expert?","answer":"Not necessarily. It may be a repository in which the community has reconstructed public statements or working principles. You should check the repository owner, notices in the README, and official organization accounts to distinguish the relationship to its creation and approval."},{"question":"What is the most important characteristic of a good agent skill?","answer":"It is important to first confirm the task's objective and scope, and to clearly distinguish planning, execution, testing, review, and completion criteria. Risky tool calls should require user confirmation, and it should be possible to roll back if they fail."},{"question":"Can multiple skills be installed at once?","answer":"It is difficult to recommend. Rules from different skills may conflict, and unnecessary hooks or scripts may broaden the scope of permissions. It is safer to select only the necessary functionality, pin versions, evaluate each skill, and then combine them."}],"sources":[{"url":"https://github.com/obra/superpowers","title":"obra/superpowers GitHub repository","type":"source"},{"url":"https://github.com/affaan-m/everything-claude-code","title":"affaan-m/everything-claude-code GitHub repository","type":"source"},{"url":"https://github.com/mattpocock/skills","title":"mattpocock/skills GitHub repository","type":"source"},{"url":"https://github.com/multica-ai/andrej-karpathy-skills","title":"multica-ai/andrej-karpathy-skills GitHub repository","type":"source"},{"url":"https://github.com/anthropics/skills","title":"anthropics/skills GitHub repository","type":"source"},{"url":"https://docs.github.com/en/rest/repos/repos?apiVersion=2022-11-28#get-a-repository","title":"GitHub REST API documentation: Get a repository","type":"source"}],"images":[{"id":641,"url":"https://injoys.com/rails/active_storage/blobs/proxy/eyJfcmFpbHMiOnsiZGF0YSI6Nzg4NiwicHVyIjoiYmxvYl9pZCJ9fQ==--70b2edce4772f738c271f7bd778558fdecc6f4ca/ai-b8447c98.webp","is_representative":true,"generation_method":"ai_image","license":"ai_generated","mime_type":"image/webp","translations":{"ko":{"alt":"별점이 매겨진 다섯 개의 스킬 폴더와 얼어붙은 항목을 살피는 돋보기","caption":"다섯 에이전트 스킬의 순위와 검증 과정을 시각화한 일러스트입니다.","description":null},"en":{"alt":"Five rated skill folders on podiums with a magnifying glass inspecting a frozen entry","caption":"The illustration visualizes the ranking and validation of five agent skills.","description":null},"ja":{"alt":"星評価付きの5つのスキルフォルダーと凍った項目を調べる虫眼鏡","caption":"5つのエージェントスキルの順位と検証プロセスを表したイラストです。","description":null},"es":{"alt":"Cinco carpetas de habilidades puntuadas en podios y una lupa examinando una entrada congelada","caption":"La ilustración representa la clasificación y validación de cinco habilidades de agentes.","description":null},"id":{"alt":"Lima folder keterampilan berperingkat di podium dan kaca pembesar yang memeriksa entri beku","caption":"Ilustrasi ini menggambarkan pemeringkatan dan validasi lima keterampilan agen.","description":null},"pt":{"alt":"Cinco pastas de habilidades avaliadas em pódios e uma lupa examinando um item congelado","caption":"A ilustração representa a classificação e a validação de cinco habilidades de agentes.","description":null},"zh-hant":{"alt":"五個附星級評分的技能資料夾排列於台座，放大鏡檢視冰封項目","caption":"此插圖呈現五項代理技能的排名與驗證流程。","description":null},"de":{"alt":"Fünf bewertete Skill-Ordner auf Podesten und eine Lupe über einem eingefrorenen Eintrag","caption":"Die Illustration visualisiert die Rangfolge und Validierung von fünf Agenten-Skills.","description":null}}},{"id":642,"url":"https://injoys.com/rails/active_storage/blobs/proxy/eyJfcmFpbHMiOnsiZGF0YSI6Nzg5MiwicHVyIjoiYmxvYl9pZCJ9fQ==--32bf57efa57a23995bc048d40d235f6bc81aa9e7/ai-4d2d60cd.webp","is_representative":false,"generation_method":"ai_image","license":"ai_generated","mime_type":"image/webp","translations":{"ko":{"alt":"질문, 구조화, 실험, 검색, 확인으로 이어지는 5단계 검증 흐름과 보안·경고 아이콘","caption":"에이전트 스킬 순위를 해석하고 검증하는 5단계 과정과 안전 기준을 나타낸다.","description":null},"en":{"alt":"Five-step validation flow from questioning to structuring, testing, searching, and approval, with safety icons","caption":"The diagram frames agent skill rankings as a five-step process governed by safety checks.","description":null},"ja":{"alt":"質問、構造化、実験、検索、確認へ進む5段階の検証フローとセキュリティアイコン","caption":"エージェントスキルの順位を解釈・検証する5段階の流れと安全基準を示している。","description":null},"es":{"alt":"Flujo de validación en cinco pasos: pregunta, estructura, prueba, búsqueda y aprobación, con iconos de seguridad","caption":"El diagrama presenta la clasificación de habilidades de agentes como un proceso de cinco pasos con controles de seguridad.","description":null},"id":{"alt":"Alur validasi lima tahap dari pertanyaan, struktur, uji, pencarian hingga persetujuan, dengan ikon keamanan","caption":"Diagram ini menggambarkan penilaian peringkat keterampilan agen melalui lima tahap dan pemeriksaan keamanan.","description":null},"pt":{"alt":"Fluxo de validação em cinco etapas: pergunta, estrutura, teste, busca e aprovação, com ícones de segurança","caption":"O diagrama apresenta o ranking de habilidades de agentes como um processo de cinco etapas com verificações de segurança.","description":null},"zh-hant":{"alt":"從提問、結構化、測試、搜尋到確認的五階段驗證流程，周圍有安全與警告圖示","caption":"此圖以五階段流程呈現代理技能排名的解讀、驗證與安全檢查。","description":null},"de":{"alt":"Fünfstufiger Prüfablauf von Frage, Struktur und Test bis Suche und Freigabe, umgeben von Sicherheitssymbolen","caption":"Die Grafik zeigt Agentenfähigkeits-Rankings als fünfstufigen Prozess mit Sicherheitsprüfungen.","description":null}}}],"published_at":"2026-08-14T23:30:21+09:00","updated_at":"2026-08-14T23:30:21+09:00","license":"cc_by","translation_status":"reviewed","available_locales":["ko","en","ja","es"],"data_locales":["ko","en","ja","es","id","pt","zh-hant","de"],"url":"https://injoys.com/en/articles/global-agent-skills-top-5-ranking-methodology"}