Skill audit report
chem-db-mof Audit report.
Query multiple MOF databases (QMOF via MPContribs; ARC-MOF DB7/Majumdar et al. via Zenodo) and download CIF structures with optional element or identifier filters.
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
161 GitHub stars
Stars/forks activity
WARN57
161 stars, 24 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL38
command execution surface, credential or environment access
Install availability
PASS92
npx skills add learningmatter-mit/AtomisticSkills --skill chem-db-mof
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/learningmatter-mit/AtomisticSkills/tree/main/.agents/skills/chem-db-mof
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add learningmatter-mit/AtomisticSkills --skill chem-db-mof
Repository
88
https://github.com/learningmatter-mit/AtomisticSkills/tree/main/.agents/skills/chem-db-mof
License
86
MIT
Maintenance
88
2mo since push
AI review
55
The script excerpt is truncated, so full code review is not possible; however, no obvious security red flags are present in the visible portion.
README/SKILL.md completeness
86
Usable description available
Dependency risk
38
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
Stars/forks activity
57
161 stars, 24 forks; issue activity unavailable in current metadata
Adoption
68
161 GitHub stars
Warnings
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The script excerpt is truncated, so full code review is not possible; however, no obvious security red flags are present in the visible portion.
- The skill does not mention checksum verification for downloaded files (e.g., geometric_properties.csv, tarball), which could be a supply-chain risk.
- The distinction between ARC-MOF DB7 and the Majumdar subset is slightly confusing; the skill references both Zenodo and Materials Cloud sources without fully clarifying the relationship.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 161 stars, 24 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
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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