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agentskills-io

作者 Vaskin Kissoyan · GitHub ↗ · v2.5.0
cross-platform ⚠ suspicious
2317
总下载
2
收藏
9
当前安装
1
版本数
在 OpenClaw 中安装
/install agentskills-io
功能描述
Create, validate, and publish Agent Skills following the official open standard from agentskills.io. Use when (1) creating new skills for AI agents, (2) validating skill structure and metadata, (3) understanding the Agent Skills specification, (4) converting existing documentation into portable skills, or (5) ensuring cross-platform compatibility with Claude Code, Cursor, GitHub Copilot, and other tools.
使用说明 (SKILL.md)

Agent Skills (agentskills.io)

Create portable skills for AI agents. Works with Claude Code, Cursor, GitHub Copilot, OpenAI integrations, VS Code (symlinks enable sharing across tools).

Resources

Structure

skill-name/
├── SKILL.md          # Required (frontmatter + instructions, \x3C5000 tokens activation)
├── scripts/          # Optional: executable code
├── references/       # Optional: detailed docs
└── assets/           # Optional: templates, static files

Rules: Dir name = frontmatter name:. Only 3 subdirs. SKILL.md \x3C500 lines. ~100 tokens for discovery (name+desc).

Frontmatter

Required

  • name: 1-64 chars, lowercase alphanumeric-hyphens (^[a-z0-9]+(-[a-z0-9]+)*$)
  • description: 1-1024 chars, include "Use when..." (discovery budget: ~100 tokens)

Optional

  • license: SPDX identifier (Apache-2.0, MIT) | compatibility: Environment reqs (\x3C500 chars)
  • metadata: Key-value pairs (author, version, tags) | allowed-tools: Space-delimited tool list

Validation

# Install permanently (vs ephemeral uvx)
uv tool install git+https://github.com/agentskills/agentskills#subdirectory=skills-ref
# Or use uvx for one-shot validation
uvx --from git+https://github.com/agentskills/agentskills#subdirectory=skills-ref skills-ref validate ./skill
Command Description
skills-ref validate \x3Cpath> Check structure, frontmatter, token budgets
skills-ref read-properties \x3Cpath> Extract metadata
skills-ref to-prompt \x3Cpath> Generate prompt format

Writing Rules

  • Imperative language: "Check: command" not "You might want to..."
  • Concrete examples with expected output; handle common errors with solutions
  • Progressive disclosure: core in SKILL.md (\x3C5000 tokens), details in references/

Common Errors

Error Fix
Invalid name Lowercase alphanumeric-hyphens only
Missing description Add description: field with "Use when..."
Description too long \x3C1024 chars, move details to body
Invalid YAML Check indentation, quote special chars
Missing SKILL.md Filename must be exactly SKILL.md
Dir name mismatch Directory name must match name: field

Quick Workflow

  1. Create: mkdir skill-name && touch skill-name/SKILL.md
  2. Add frontmatter (name, description with "Use when...")
  3. Write instructions (bullets, not prose); validate: skills-ref validate ./skill-name
  4. Test with AI agent, iterate; add LICENSE, push to repository

Plugin Structure (Claude Code)

plugin-name/
├── .claude-plugin/plugin.json
├── README.md, LICENSE, CHANGELOG.md  # CHANGELOG.md tracks versions
├── skills/skill-name/SKILL.md
├── agents/     # Optional: subagents (.md files)
└── examples/   # Optional: full demo projects

Distinctions: Plugin examples/ = runnable projects. Skill assets/ = static resources only.

Batch Validation & Versioning

bash scripts/validate-skills-repo.sh     # Validate all skills in repo
bash scripts/bump-changed-plugins.sh     # Auto-bump only changed plugins (semver)

Minimal Example

---
name: example-skill
description: Brief description. Use when doing X.
---
# Example Skill
## Prerequisites
- Required tools
## Instructions
1. First step: `command`
2. Second step with example
## Troubleshooting
**Error**: Message → **Fix**: Solution

Symlink Sharing

Share skills across Claude Code, Cursor, VS Code: ln -s /path/to/skills ~/.cursor/skills

References

安全使用建议
This skill appears to do what it says: authoring/validating Agent Skills. Before you run anything: (1) review the two shell scripts (scripts/validate-skills-repo.sh and scripts/bump-changed-plugins.sh) to confirm they only validate or update local metadata (and do not, for example, push commits or exfiltrate data), (2) verify the referenced validator repository (https://github.com/agentskills/agentskills) is the expected upstream, and (3) run validation steps in a sandbox or non-critical clone of your repo. If you are uncomfortable with model-initiated runs, check your platform's skill invocation settings because disable-model-invocation is not set by this skill.
功能分析
Type: OpenClaw Skill Name: agentskills-io Version: 2.5.0 The skill bundle instructs the AI agent and users to download and execute code from a remote Git repository (github.com/agentskills/agentskills) using `uvx` or `uv tool install`. This occurs in `SKILL.md` for installation and one-shot validation, and in `scripts/validate-skills-repo.sh` for batch validation. While the remote code is the official `skills-ref` validator and the intent is to validate skills, fetching and executing external code introduces a supply chain risk, classifying this as a risky capability without clear malicious intent.
能力评估
Purpose & Capability
Name/description align with the files and instructions: the SKILL.md teaches how to author and validate skills and references a validator repo. The two provided scripts (validate & bump) are reasonable for a skills repo toolset. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Instructions direct use of the agentskills validator (via uv/uvx) and the included shell scripts (validate-skills-repo.sh, bump-changed-plugins.sh). Those actions are consistent with the stated purpose, but the instructions do tell the user/agent to run shell scripts and to create symlinks (ln -s). Running the scripts could modify files or perform git operations — the SKILL.md does not show their contents, so inspect them before execution.
Install Mechanism
No install spec is bundled with the skill; SKILL.md suggests installing the validator from its GitHub repo using uv or uvx (git+https URL). This is a standard, traceable approach and not an arbitrary binary download or obscure URL.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. That is proportional for a documentation/validation tool. The SKILL.md does not ask for unrelated secrets.
Persistence & Privilege
The skill does not set always:true and has no explicit install that grants persistent privileges. Model invocation flags are left at defaults (disable-model-invocation not set), so the skill could be invoked by the agent if platform policy allows — this is typical for utility skills but worth knowing.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install agentskills-io
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /agentskills-io 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v2.5.0
From Foundry: Create, validate, and publish Agent Skills following the official open standard
元数据
Slug agentskills-io
版本 2.5.0
许可证
累计安装 9
当前安装数 9
历史版本数 1
常见问题

agentskills-io 是什么?

Create, validate, and publish Agent Skills following the official open standard from agentskills.io. Use when (1) creating new skills for AI agents, (2) validating skill structure and metadata, (3) understanding the Agent Skills specification, (4) converting existing documentation into portable skills, or (5) ensuring cross-platform compatibility with Claude Code, Cursor, GitHub Copilot, and other tools. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2317 次。

如何安装 agentskills-io?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install agentskills-io」即可一键安装,无需额外配置。

agentskills-io 是免费的吗?

是的,agentskills-io 完全免费(开源免费),可自由下载、安装和使用。

agentskills-io 支持哪些平台?

agentskills-io 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 agentskills-io?

由 Vaskin Kissoyan(@killerapp)开发并维护,当前版本 v2.5.0。

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