Skill audit report
prompt-regression Audit report.
Use when the user has changed a prompt (system prompt, RAG template, agent instruction, etc.) and wants to know whether the candidate is better or worse than the baseline. Also use when the user mentions prompt A/B testing, prompt comparison, prompt optimization validation, "did my prompt change help," or prompt regression testing. Outputs per-dimension win rates with statistical significance using OpenJudge PairwiseAnalyzer.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
816 GitHub stars
Stars/forks activity
INFO71
816 stars, 65 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
3mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add agentscope-ai/OpenJudge --skill prompt-regression
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO64
shell or command execution, database access
Repository evidence
PASS86
https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/06-prompt-regression
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add agentscope-ai/OpenJudge --skill prompt-regression
Repository
88
https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/06-prompt-regression
License
86
Apache-2.0
Maintenance
76
3mo since push
AI review
55
The full implementation of scripts/pairwise.py is not visible in the excerpt, but the provided portion indicates a well-structured, stdlib-only script with clear usage and exit codes.
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
64
shell or command execution, database access
Stars/forks activity
71
816 stars, 65 forks; issue activity unavailable in current metadata
Adoption
88
816 GitHub stars
Warnings
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- The full implementation of scripts/pairwise.py is not visible in the excerpt, but the provided portion indicates a well-structured, stdlib-only script with clear usage and exit codes.
- The skill relies on the user to correctly generate the comparisons.jsonl file with swapped rows; no automated validation is provided for that input format.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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