Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
co2-carbon-footprint is the strongest overall pick here because it has a 70/100 readiness score and fits Research agents.
Strongest overall
co2-carbon-footprint
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
co2-carbon-footprint
Best first install candidate based on install readiness and adoption.
Freshest repo
co2-carbon-footprint
Most recent maintenance signal among this shortlist.
| Signal | co2-carbon-footprint Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system. |
|---|---|
| Quality | 71/100 Strong |
| Decision verdict | 70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 282 stars Verified outcomes are shown on each skill page |
| Freshness | Aug 22, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation. · No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint |