Skill audit report
Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, verified novelty claims, or implicit experimentation.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
484 GitHub stars
Stars/forks activity
WARN57
484 stars, 16 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
13d 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 lllllllama/RigorPilot-Skills --skill ai-research-explore
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/lllllllama/RigorPilot-Skills/tree/main/skills/ai-research-explore
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add lllllllama/RigorPilot-Skills --skill ai-research-explore
Repository
88
https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/ai-research-explore
License
86
MIT
Maintenance
100
13d since push
AI review
55
SKILL.md references shared references under ../ai-research-reproduction/ which are not included in this submitted skill directory; if those files are not bundled or guaranteed present, the skill may not be fully operational.
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
50
shell or command execution, filesystem or document access
Stars/forks activity
57
484 stars, 16 forks; issue activity unavailable in current metadata
Adoption
68
484 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
The tracked source changed or could not be synchronized. Review the current source before installing.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.