Skill audit report
Autoconsultant owns the approval-gated workflow that takes an ambiguous repository change through a persistent Consultant consultation and adversarial plan review, then prepares separately approved, independent Optimizer and Evaluator instructions plus one copy-paste-safe handoff for a fresh agent. It triggers when a request asks to combine consultation or plan approval with Automake or an evaluator-optimizer setup, preserve plan references, resolve ratchet limits or success conditions, or transfer execution to a new context; explicit `/autoconsultant` also triggers it. It does not own Consultant-only planning, Automake execution, prompt drafting without invocation, plan review without setup, implementation, testing, TDD, Git preflight, or generic workflow explanation.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL32
20 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add eliasstravik/skills --skill autoconsultant
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/eliasstravik/skills/tree/main/skills/autoconsultant
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add eliasstravik/skills --skill autoconsultant
Repository
88
https://github.com/eliasstravik/skills/tree/main/skills/autoconsultant
License
86
MIT
Maintenance
88
1mo since push
AI review
55
The skill references other skills (Consultant, Automake) but does not include or link to them within the repository; users need to ensure those are present.
README/SKILL.md completeness
86
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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Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
32
20 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
20 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.