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fba-simulator

An AI agent skill from aiming-lab/AutoResearchClaw, scored 62 out of 100 by code.

62/ 100C

Code score by group

  • Spec20/20
  • Description7/20
  • Procedure13/15
  • Done criteria0/15
  • Resources10/10
  • Scripts2/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Run Flux Balance Analysis (FBA) and related constraint-based simulations using COBRApy. Covers standard FBA, parsimonious FBA (pFBA), Flux Variability Analysis (FVA), loopless FBA, gene/reaction knockouts, and carbon source swapping. Outputs flux distributions and CSV files.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
aiming-lab/AutoResearchClaw
Folder
external/agents/Biology-Agent/skills/fba-simulator
License
MIT
GitHub stars
14,862
SKILL.md lines
256
Other files
0

Add fba-simulator to your agent

npx skills add aiming-lab/AutoResearchClaw --skill fba-simulator

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

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All skills in aiming-lab/AutoResearchClaw

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.