Skill audit report
co2-carbon-footprint Audit report.
Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.
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
282 GitHub stars
Stars/forks activity
INFO62
282 stars, 74 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/co2-carbon-footprint
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 datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
Repository
88
https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/co2-carbon-footprint
License
86
MIT
Maintenance
100
Pushed today
AI review
55
SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
88
database access
Stars/forks activity
62
282 stars, 74 forks; issue activity unavailable in current metadata
Adoption
68
282 GitHub stars
Warnings
- SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
- instructions.md is generic and not tailored to this specific skill, missing concrete steps for invoking the carbon calculation workflow.
- No explicit input data schema or expected formats are documented, limiting reproducibility and agent guidance.
- Missing limitations and assumptions (e.g., default uncertainty, scope of EPDs, applicability to non-building structures).
- Quality score needs review
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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