Skill audit report
Executes a plan step by step in an explicit cluster workspace, confirming each step with the user and updating journal.md as work proceeds. Use when the user says "run a plan", "execute the plan", "run this plan.md", "start/resume the lab run", or otherwise asks to run, execute, or resume a lab plan, benchmark, or database experiment.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
43 GitHub stars
Stars/forks activity
WARN43
43 stars, 9 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d 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, database surface
Install availability
PASS92
npx skills add rustyrazorblade/skills --skill run
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/rustyrazorblade/skills/tree/main/plugins/easy-db-lab/skills/run
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add rustyrazorblade/skills --skill run
Repository
88
https://github.com/rustyrazorblade/skills/tree/main/plugins/easy-db-lab/skills/run
License
86
Apache-2.0
Maintenance
100
11d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
command execution surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
50
shell or command execution, filesystem or document access
Stars/forks activity
43
43 stars, 9 forks; issue activity unavailable in current metadata
Adoption
42
43 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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