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
Pydensecrf is the strongest overall pick here because it has a 75/100 readiness score and fits Coding agents.
Strongest overall
Pydensecrf
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Pydensecrf
Best first install candidate based on install readiness and adoption.
Freshest repo
Pydensecrf
Most recent maintenance signal among this shortlist.
| Signal | Pydensecrf Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials. |
|---|---|
| Quality | 73/100 Strong |
| Decision verdict | 75/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 2.0K stars 0 installs |
| Freshness | Mar 5, 2024 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | C++, Computer Vision, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add lucasb-eyer/pydensecrf |