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Install in OpenClaw
/install path-evolver
Description
记录 skill 使用成功率，主动发现更优工具，提示用户选择。Use when tracking skill success rates or discovering better tools.
Usage Guidance
This skill appears coherent and lightweight, but because it's instruction-only the promised safeguards ("only send task TYPE", "do not send user inputs") are policy statements, not enforced code. Before installing: 1) Audit or monitor the created cache file (~/.openclaw/workspace/.path-evolver/workflow-cache.json) to confirm what is stored. 2) Verify or configure the agent to strictly sanitize queries (send only task categories) before any network request. 3) Be aware GitHub API usage can require tokens/rate-limit handling; ensure no secrets are supplied unless you intend it. 4) Limit network egress (or inspect traffic) if you operate in a sensitive environment. If you need stronger guarantees, prefer a version that includes enforceable client-side code for sanitization or that runs entirely offline.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description, declared cachePath (~/.openclaw/workspace/.path-evolver/workflow-cache.json), and declared network endpoints (clawhub.ai, api.github.com) match the stated goals of tracking success rates and discovering alternatives. No unrelated env vars, binaries, or config paths are requested.
Instruction Scope
SKILL.md instructs the agent to record success/failure locally and to search ClawHub/GitHub sending only the task TYPE. That scope matches the purpose, but the sanitization/network restrictions are policy-level assertions (no implementation included). Because this is instruction-only, the actual runtime behavior depends on the agent correctly implementing stripping of user content — the spec is vague about how sanitization is enforced.
Install Mechanism
No install spec and no code files — lowest-risk delivery model. Nothing is downloaded or written by an install step beyond the cache file the skill itself manages.
Credentials
The skill requires no credentials or environment variables. Declared network usage to public endpoints is proportional to its discovery feature. Note: GitHub API calls may be rate-limited in practice and could require a token for robust operation, but no token is requested in the manifest.
Persistence & Privilege
Does not request always:true or modify other skills; creates a local cache in the user's workspace (documented). Autonomous invocation is allowed (platform default) but not combined with elevated privileges here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install path-evolver - After installation, invoke the skill by name or use
/path-evolver - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.1
Added data privacy clarification: search queries only send task TYPE, not user data or parameters
v1.1.0
Simplified: success rate tracker + tool discoverer (no auto-update). Prompts user for decisions.
v1.0.3
Redefined role: learner + config optimizer (not interceptor). Leverages OpenClaw native Skill Priority mechanism for elegant evolution.
v1.0.2
Added security metadata: network requirements, cache path declaration, data storage policy
v1.0.1
Added bilingual support (English/Chinese), improved documentation structure
v1.0.0
Initial release: 路径缓存、成功率追踪、自动固化、主动搜索更优解
Metadata
Frequently Asked Questions
What is Path Evolver?
记录 skill 使用成功率，主动发现更优工具，提示用户选择。Use when tracking skill success rates or discovering better tools. It is an AI Agent Skill for Claude Code / OpenClaw, with 93 downloads so far.
How do I install Path Evolver?
Run "/install path-evolver" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Path Evolver free?
Yes, Path Evolver is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Path Evolver support?
Path Evolver is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Path Evolver?
It is built and maintained by wyzlove (@wyzlove); the current version is v1.1.1.
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