Prompt Reviewer

v1.0.0

Review a prompt to identify ambiguities, missing constraints, and hallucination risks, and provide an optimized version.

0· 42·0 current·0 all-time
byXudong Guo@sunny0826
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
The name/description (reviewing and improving prompts) match the SKILL.md and README. The skill requests no binaries, env vars, or config paths—everything is instruction-only and appropriate for a prompt-reviewer.
Instruction Scope
SKILL.md confines the agent to analyzing a user-provided prompt and producing a structured review + optimized prompt in Chinese. It does not instruct reading files, contacting external endpoints, or accessing credentials. Note: it enforces responses in Chinese, which is a functional constraint (not a security issue) but could conflict with users expecting other languages.
Install Mechanism
No install spec or code files are present. Being instruction-only means nothing is downloaded or written to disk during install—low install risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. The SKILL.md does not reference any undeclared secrets or environment state.
Persistence & Privilege
always is false and the skill does not request persistent/system-level privileges or to modify other skills. Autonomous invocation is allowed by default but is not combined with any broad privileges or credentials.
Assessment
This is an instruction-only, low-risk skill that appears to do what it says: analyze prompts and return a structured review plus an improved prompt. Before installing, note: (1) the skill enforces responses in Chinese—if you need other languages this may be inconvenient; (2) it can help craft stronger prompts, so avoid using it to refine prompts intended for harmful, illegal, or policy-violating outputs; (3) because it runs entirely as instructions, inspect actual outputs for any unexpected requests (e.g., asking for credentials or external links) before following them. If you want higher assurance, test it with benign prompts (e.g., the included examples) and verify the language and disclaimers (e.g., for stock prediction, the review should flag hallucination risk).

Like a lobster shell, security has layers — review code before you run it.

latestvk97ap2jg3jx09xvab0sj72ajr984213b

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Comments