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Skill Creator Anthropic
作者
pupuking723
· GitHub ↗
· v1.0.0
· MIT-0
282
总下载
0
收藏
7
当前安装
1
版本数
在 OpenClaw 中安装
/install skill-creator-anthropic
功能描述
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize a...
安全使用建议
This skill appears to do what it says: a toolkit for writing and evaluating skills. Before running any scripts:
- Inspect the workspace directory you plan to point the scripts at. The eval-viewer and related scripts will recursively read many files and embed them into an HTML page (including non-text binaries via base64). Remove any secrets, credentials, or files you would not want served to a local browser or accidentally shared.
- The viewer script may invoke OS utilities (it calls subprocesses like lsof and may send signals) and will open a local HTTP server and a browser tab. Run it in an isolated/sandboxed environment (temporary VM, container, or dedicated evaluation machine) if you are unsure.
- The project is licensed under Apache-2.0 — you can reuse or modify the scripts, but review code before execution. If you only need small parts of the skill, consider extracting and running those scripts locally after inspection rather than running the full workflow.
- If you need stronger assurances, ask the maintainer for a minimal-mode that restricts file discovery (or patch generate_review.py to whitelist/blacklist paths) and to avoid invoking system commands.
Overall: coherent and useful for its stated purpose, but exercise standard caution about filesystem and subprocess access when running bundled tooling.
功能分析
Type: OpenClaw Skill
Name: skill-creator-anthropic
Version: 1.0.0
The bundle is a legitimate toolset for creating and optimizing AI skills within the OpenClaw/Claude Code ecosystem. It includes Python scripts (e.g., run_eval.py, generate_review.py) for benchmarking, triggering evaluation, and generating HTML reports, as well as markdown instructions that guide the agent through a structured development loop. While the scripts utilize powerful capabilities like subprocess to execute CLI commands (claude -p) and run a local HTTP server for result visualization, these actions are strictly aligned with the stated purpose of automating skill testing. The instructions in SKILL.md explicitly include security guidelines, advising the agent to avoid creating malware or misleading skills.
能力评估
Purpose & Capability
The name/description (create, evaluate, and improve skills) aligns with the shipped assets: SKILL.md plus multiple evaluator/packaging scripts (grader, comparator, analyzer, eval viewer, packaging, etc.). There are no unrelated required env vars or binaries declared, and included scripts map to the stated functionality.
Instruction Scope
SKILL.md instructs the agent to use supplied scripts (e.g., eval-viewer/generate_review.py) to run evaluations and present results. Those scripts recursively read the workspace, embed arbitrary output files into a self-contained HTML page, write feedback.json, open a web browser, and run OS commands (via subprocess) to manage ports. This behavior is consistent with 'showing evaluation results' but will also read and expose any files present in the workspace (notably it only excludes a small set of metadata files). The SKILL.md does not explicitly warn about potential exposure of secrets or other sensitive files in the workspace.
Install Mechanism
No install spec is provided (instruction-only), and all code is bundled in the skill. The included Python scripts use only stdlib modules and do not download or execute external archives. No remote install/URL downloads were observed in the provided files.
Credentials
The skill declares no environment variables or credentials (appropriate). However, the scripts require filesystem access to the workspace and call subprocesses (e.g., lsof, os.kill) and open a local HTTP server and browser. While these are proportionate to the stated purpose (inspecting and serving eval outputs), they can access and expose arbitrary files in the workspace — so lack of declared secrets does not eliminate data-exfiltration risk if a user runs the scripts in a directory containing sensitive files.
Persistence & Privilege
The skill is not always-on and does not request persistent system privileges. It saves feedback.json and serves a local HTML UI, which are normal for a review tool. It does use subprocesses to manage ports and may write files in the workspace, but it does not request or appear to modify other skills' configs or system-wide agent settings.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install skill-creator-anthropic - 安装完成后,直接呼叫该 Skill 的名称或使用
/skill-creator-anthropic触发 - 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
v1.0.0
Initial release of Skill Creator — a tool for building, editing, and evaluating custom skills.
- Enables users to create new skills, modify existing ones, and optimize descriptions for better triggering.
- Supports test case creation, benchmarking, and variance analysis to measure skill performance.
- Provides a thorough user interview process to clarify intent, success criteria, and example cases.
- Includes guidance for drafting, iterating, and evaluating skills with both qualitative and quantitative feedback.
- Offers flexible, context-aware user communication suitable for a broad range of technical backgrounds.
元数据
常见问题
Skill Creator Anthropic 是什么?
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize a... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 282 次。
如何安装 Skill Creator Anthropic?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install skill-creator-anthropic」即可一键安装,无需额外配置。
Skill Creator Anthropic 是免费的吗?
是的,Skill Creator Anthropic 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Skill Creator Anthropic 支持哪些平台?
Skill Creator Anthropic 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 Skill Creator Anthropic?
由 pupuking723(@pupuking723)开发并维护,当前版本 v1.0.0。
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