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在 OpenClaw 中安装
/install self-skill-evolver
功能描述
Analyze and improve OpenClaw agent skills by tracking usage, checking skill health, scanning code quality, and generating actionable improvement suggestions....
安全使用建议
This package is broadly coherent with its described purpose (static analysis, monitoring, reporting). Before installing: 1) Inspect the code yourself — there are several code-quality/runtime issues (truncated/buggy functions) that could cause errors; for example, database.models appears to be truncated and references or returns undefined symbols (e.g., add_feedback returns 'c'), and CLI/reporter call methods like get_all_skills and get_feedback_stats which aren't visible in the included model code. 2) Be aware it will read all files under the skills directory (~/.openclaw/skills by default) and store analysis and usage logs in ~/.openclaw/skill-evolver/skill_evolver.db — do not run it if those directories contain secrets you don't want duplicated. 3) If you plan to install, prefer reviewing and running the package in a disposable environment (virtualenv or container), and consider auditing or fixing the apparent bugs (missing functions, inconsistent data handling) before using it in production. If you want, I can point out the specific locations of the suspicious code snippets and list the functions referenced but missing so you can inspect or patch them.
功能分析
Type: OpenClaw Skill
Name: self-skill-evolver
Version: 0.1.2
The self-skill-evolver bundle is a legitimate utility designed to monitor, analyze, and report on the performance and code quality of OpenClaw agent skills. It uses a local SQLite database to store usage logs and health scores, and its analysis logic (in analyzer.py) uses safe methods like ast.parse for code inspection. While a potential SQL injection vulnerability exists in database/models.py due to string formatting in the clear_old_data and get_usage_stats methods, this appears to be an unintentional implementation flaw rather than a malicious backdoor, especially as the CLI enforces integer types for the affected parameters.
能力评估
Purpose & Capability
The skill's name/description match its behavior: it reads SKILL.md, package.json and Python files under a skills directory and records usage/health metrics. However, the registry metadata claims "instruction-only" (no install spec) while the package actually contains multiple Python modules and a CLI; that's an inconsistency worth checking. The tool also writes a SQLite DB under the user's home (~/.openclaw/skill-evolver) which is coherent with monitoring functionality but should be noted.
Instruction Scope
SKILL.md and the code instruct the agent to analyze skill directories, parse files, compute scores, and write reports. The analyzer only reads files and uses ast.parse (static parsing) — it does not appear to execute inspected code. It will read arbitrary SKILL.md, package.json and .py files from the configured skills directory (default ~/.openclaw/skills) and store metadata and logs; this is in-scope for the stated purpose.
Install Mechanism
No install spec is provided (instruction-only in registry), so nothing will be fetched automatically by the platform. The repo includes a requirements.txt and package.json indicating Python dependencies (PyYAML, GitPython, etc.); installing manually would require standard Python package installation. No remote download or opaque installer URLs are present in the provided files.
Credentials
The skill does not request environment variables, external credentials, or special binaries. It reads/writes to the user's home directory and SQLite DB, which is proportionate to monitoring and reporting functionality.
Persistence & Privilege
The skill persists data locally (SQLite DB under ~/.openclaw/skill-evolver) and will create directories there. always: false and no elevated privileges are requested. Autonomous invocation is enabled by default (platform default) but is not combined with other concerning flags here. Still, persistence means it will keep logs and reports on disk — be aware of what data may be recorded.
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 self-skill-evolver - 安装完成后,直接呼叫该 Skill 的名称或使用
/self-skill-evolver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
v0.1.2
- Initial public release of self-skill-evolver.
- Provides a Python CLI tool to analyze and improve OpenClaw agent skills.
- Includes usage monitoring, skill health scoring, and code/SKILL.md analysis.
- Generates automated improvement suggestions and supports JSON/Markdown/HTML reports.
- Offers commands for analyzing, reporting, logging, feedback, and clearing history.
- Requires Python 3.8+, SQLite3, PyYAML, and optionally GitPython.
元数据
常见问题
Self Skill Evolver 是什么?
Analyze and improve OpenClaw agent skills by tracking usage, checking skill health, scanning code quality, and generating actionable improvement suggestions.... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 240 次。
如何安装 Self Skill Evolver?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-skill-evolver」即可一键安装,无需额外配置。
Self Skill Evolver 是免费的吗?
是的,Self Skill Evolver 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Self Skill Evolver 支持哪些平台?
Self Skill Evolver 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 Self Skill Evolver?
由 haidong(@harrylabsj)开发并维护,当前版本 v0.1.2。
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