Skill Example Synthesizer
v1.0.0为 Skill 生成高质量正例、反例和边界例，提升路由与可理解性。；use for skills, examples, routing workflows；do not use for 只给笼统例子, 忽视误触发场景.
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byvx：17605205782@52yuanchangxing
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
Name/description request python3 and include a local script for producing structured examples and audits. The declared binary (python3), included resources (spec.json, template.md), and scripts are coherent with the stated purpose of synthesizing examples and auditing skill artifacts.
Instruction Scope
SKILL.md restricts behavior to read-only, audit/draft outputs and explicitly recommends dry-run / review. The runtime script (scripts/run.py) will read files from whatever input path is supplied (single file or directory) and scans many text file types (.md, .py, .sh, .json, .csv, etc.). That is appropriate for a repository/audit tool, but if invoked with a broad system path it can read arbitrary files — so callers should ensure the input path is limited to intended workspaces and not system/root directories or sensitive folders.
Install Mechanism
No install spec; instruction-only skill with a local Python script. No external downloads or package-installs are performed. This is low-risk and proportional for the functionality.
Credentials
The skill requires only python3 and declares no environment variables, credentials, or config paths. There are no unrelated secrets requested and resources are local; this is proportionate.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent agent privileges or modify other skills. Autonomous invocation is enabled by default on the platform, which is normal — nothing in the skill requests elevated persistence.
Assessment
This skill appears to be what it says: a local, read-only synthesizer/auditor implemented in Python. Before running it, ensure you: (1) only pass intended repository/workspace paths (avoid /, your home dir, or other system/sensitive folders), (2) review outputs before sending or publishing them, and (3) not feed sensitive/personal data unless you have desensitized it. If you plan to let an autonomous agent invoke this skill, restrict the agent's allowed input paths to avoid accidental scanning of sensitive files. If you want higher assurance, open and review scripts/run.py yourself (it is included) and run with --dry-run first.Like a lobster shell, security has layers — review code before you run it.
latestvk972zansyb941gxen70zqnrqss8374z1
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🧱 Clawdis
OSmacOS · Linux · Windows
Binspython3