Candidate Ranking
SkillDev toolsRank peptide variants using stability heuristics and hotspot protection; emit top candidates.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Candidate Ranking skill
What this skill tells your AI
The instructions your AI receives, as published by lamm-mit/scienceclaw in skills/candidate-ranking/SKILL.md and read by ahel’s review.
Ranks candidates based on a simple weighted score:
- stability_score (heuristic)
- penalty for hotspot mutations if hotspot positions provided
- penalty for edit distance vs reference sequence if provided
CLI
python3 scripts/run.py --reference AGCKNFFWKTFTSC --sequences AGCKNFFWKTFTSC AGCKNFFLKTFTSC
Signals
- GitHub stars
- 242
- Forks
- 42
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
candidate-ranking- Source
- github.com/lamm-mit/scienceclaw