Skill audit report
[omh] Hermes backend workflow: prepare server, API, and data-layer contracts — auth boundary, error paths, response shape, and schema/migration discipline — before implementation. Use when the user says: backend, back-end, back end, backend skill, server side, server-side, api design, api contract.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
1.4K GitHub stars
Stars/forks activity
INFO77
1.4K stars, 129 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
5d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO74
network or browser surface, database surface
Install availability
PASS92
npx skills add rlaope/oh-my-hermes --skill omh-backend
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
network or browser access, database access
Repository evidence
PASS86
https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-backend
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add rlaope/oh-my-hermes --skill omh-backend
Repository
88
https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-backend
License
86
MIT
Maintenance
100
5d since push
AI review
55
The skill references external shared rails (omh-routing/references/skill-common-rail.md) which may not be present in this repository; if missing, the workflow could lose shared product/routing/evidence rules.
README/SKILL.md completeness
86
Usable description available
Dependency risk
74
network or browser surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
network or browser access, database access
Stars/forks activity
77
1.4K stars, 129 forks; issue activity unavailable in current metadata
Adoption
88
1.4K GitHub stars
Warnings
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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