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Install in OpenClaw
/install skill-polisher
Description
当用户需要持续打磨和进化技能、追踪技能质量、收集反馈改进、检查技能规范合规性时使用。每次技能执行后自动收集用户评分，沉淀使用数据，定期分析并输出改进建议。包含技能健康度检查、最佳实践沉淀、标准化评分卡等功能。🔒 只读分析，不修改任何技能文件。
Usage Guidance
This skill appears coherent: it only reads installed skills and stores feedback/analysis under ~/.openclaw/workspace/.skill-polisher/. It does not request credentials or network access. Before installing, consider: 1) confirm you are comfortable with the agent invoking the bundled scripts (they run locally and may prompt for interactive input when run without flags); 2) inspect the scripts if you want assurance that no external network calls are added later — currently there are none; 3) be aware of a functional bug: polish-suggest imports get_all_skills from health-report but that function is not defined there, so some commands may fail at runtime; 4) review tracking.json/expectation files if you want to control which skills are tracked (only tracked skills can collect feedback by default). Overall the behavior matches the description and there are no disproportionate permissions or hidden endpoints.
Capability Analysis
Type: OpenClaw Skill
Name: skill-polisher
Version: 1.0.3
The 'skill-polisher' bundle is a meta-utility designed to track, analyze, and improve the quality of other OpenClaw skills. The scripts (e.g., check-spec.py, health-report.py, and collect-feedback.py) focus on local file analysis, regex-based specification checking, and JSON-based data storage within a dedicated workspace directory (~/.openclaw/workspace/.skill-polisher/). There is no evidence of network activity, data exfiltration, or unauthorized file modification; the bundle explicitly enforces a read-only policy regarding other skills' source code and follows established best practices for data/code separation.
Capability Assessment
Purpose & Capability
Name/description (skill polishing, feedback, health checks) match the included scripts and SKILL.md. The code reads SKILL.md and scripts from ~/.openclaw/workspace/skills/ and writes only to ~/.openclaw/workspace/.skill-polisher/, which is appropriate for a feedback/analysis tool.
Instruction Scope
SKILL.md and scripts consistently describe read-only analysis and local storage of suggestions. The runtime instructions instruct the agent to run local Python scripts (collect-feedback, health-report, polish-suggest, etc.) against skills in the workspace. There is no code that tries to access remote endpoints or unrelated system paths. Note: collect-feedback enforces that a skill must be in the tracking list unless --force is used; polish-suggest attempts to call functions (e.g., get_all_skills from health-report) that may not exist at runtime (functional bug), so some commands may error.
Install Mechanism
No install spec — instruction-only with bundled scripts. Nothing is downloaded or written outside the declared .skill-polisher data directory and the workspace skills directory.
Credentials
No environment variables, no external credentials requested. File reads and writes are limited to the user's OpenClaw workspace (skills and a hidden .skill-polisher directory), which aligns with the stated purpose of local feedback collection and analysis.
Persistence & Privilege
always:false (default). The skill can be invoked autonomously by the agent (platform default) but does not declare forced inclusion. It writes only to its own data directory and does not attempt to modify other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install skill-polisher - After installation, invoke the skill by name or use
/skill-polisher - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
## skill-polisher 1.0.3 Changelog
- Removed obsolete script: `scripts/polish.py`.
- Updated: Main suggestion generation now handled by `scripts/polish-suggest.py`.
- No changes to skill description or user documentation.
- This update streamlines the suggestion workflow by consolidating code improvements into a single script.
v1.0.2
- Introduced strict "read-only analysis" mode—skill-polisher now analyzes and suggests improvements but never modifies any skill file.
- Updated documentation and description to clarify that all outputs (e.g., recommendations) are saved to user space for manual review and adoption.
- Added explicit permissions metadata, specifying file system read/write boundaries and ensuring no changes to other skills.
- All polishing actions (health analysis, suggestions) now output to `.skill-polisher/polish-history/`; applying changes remains opt-in by the user.
- Refined usage guides, workflows, and warnings to stress the new non-destructive approach.
v1.0.1
Skill-polisher 1.0.1
- 大幅重构功能与架构，明确“技能打磨”需明确加入追踪列表后才启用。
- 新增 tracking.py 支持技能追踪列表的添加/移除/查询。
- 优化 collect-feedback.py, health-report.py 等脚本，仅作用于追踪列表中的技能，提升隐私与数据安全。
- 更新使用说明，强调用户数据与技能代码强隔离，杜绝隐私数据泄露到技能目录。
- 文档大幅完善，详细说明典型流程、Agent 调用方式和数据存储规范。
v1.0.0
Initial release of skill-polisher: a system for continuous skill refinement, quality tracking, and feedback-driven improvement.
- Collects user ratings and feedback automatically after each skill execution
- Aggregates usage data and analyzes it regularly to suggest improvements
- Provides health checks, best practices repository, and standard rating cards
- Offers scripts for health reporting, expectation setting, compliance checking, and skill polishing
- Includes structured storage for feedback, expectations, metrics, history, and knowledge base
Metadata
Frequently Asked Questions
What is Skill Polisher?
当用户需要持续打磨和进化技能、追踪技能质量、收集反馈改进、检查技能规范合规性时使用。每次技能执行后自动收集用户评分，沉淀使用数据，定期分析并输出改进建议。包含技能健康度检查、最佳实践沉淀、标准化评分卡等功能。🔒 只读分析，不修改任何技能文件。 It is an AI Agent Skill for Claude Code / OpenClaw, with 312 downloads so far.
How do I install Skill Polisher?
Run "/install skill-polisher" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Skill Polisher free?
Yes, Skill Polisher is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Skill Polisher support?
Skill Polisher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Skill Polisher?
It is built and maintained by Lucius.C (@luciuscao); the current version is v1.0.3.
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