Skill audit report
review-experiment-results Audit report.
Explain Harness FME experiment results: winner determination, statistical significance, guardrail metric impact, and data-quality caveats (low sample size, missing data). Classifies each metric's outcome and produces plain-language readout by default, surfacing underlying stats (p-value, CI, sample size) on request. Use when asked to explain, review, or interpret experiment results; "did treatment X win"; "is this experiment significant"; "what happened to metric Y in this experiment"; or "should we ship this experiment". Do NOT use for changing experiments (manage-experiments), choosing metrics (choose-metric), or diagnosing bias (SRM root cause, peeking, Simpson's paradox). Trigger phrases: experiment results, readout, winner, statistical significance, guardrail metric, ship this experiment.
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
INFO62
115 GitHub stars
Stars/forks activity
WARN57
115 stars, 23 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
5d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add harness/harness-skills --skill review-experiment-results
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/harness/harness-skills/tree/main/skills/fme/review-experiment-results
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add harness/harness-skills --skill review-experiment-results
Repository
88
https://github.com/harness/harness-skills/tree/main/skills/fme/review-experiment-results
License
86
Apache-2.0
Maintenance
100
5d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
57
115 stars, 23 forks; issue activity unavailable in current metadata
Adoption
68
115 GitHub stars
Warnings
- Permission surface may require sandboxing
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 115 stars, 23 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- Review status: AI review approval is missing
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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