Scan reports · K-Dense-AI/scientific-agent-skills
cobrapy: scan report
Performs constraint-based metabolic modeling with COBRApy, including FBA, pFBA, FVA, gene knockouts, flux sampling, growth media, production envelopes, gap filling, and SBML model validation for systems biology and… An automated scan of this public skill from K-Dense-AI/scientific-agent-skills: security, token cost, spec and clarity, with every finding and its fix.
Verdict
K-Dense-AI/scientific-agent-skills/skills/cobrapy at a1043ef
Spec 25 · Efficiency 19 · Clarity 25 · Security 23 (each out of 25)
Always loaded 62 tokens · on trigger 2,752 · on demand 8,110
eff/description-triggerwarn · SKILL.mddescription doesn't say *when* to use the skill ("Use when …"). Agents decide from this line alone.sec/plain-httpinfo · SKILL.mdLinks over plain http.
Source
| Fact | Value |
|---|---|
| Repository | K-Dense-AI/scientific-agent-skills |
| Skill folder | skills/cobrapy |
| Stars | 51,324 |
| License | MIT |
| Commit scanned | a1043ef |
| Scanned | 2026-10-16 |
| Files | 3 |
ProSkills doesn't host or redistribute this skill. Get it from its repository, and check the license before reusing it. Something wrong here? Open an issue for a rescan or removal.
Badge for the README
If you maintain this skill, this badge shows its score and links to this report. Fix findings and the score moves with the next scan.
[](https://proskills.dev/reports/k-dense-ai-cobrapy)
More from K-Dense-AI/scientific-agent-skills
| Skill | Scan | Grade |
|---|---|---|
| 13c-metabolic-flux | 90/100 | A |
| adaptyv | 89/100 | B |
| aeon | 96/100 | A |
| alphagenome | 98/100 | A |
| analytical-method-validation | 98/100 | A |
| anndata | 92/100 | A |
| arbor | 89/100 | B |
| arboreto | 98/100 | A |
| astropy | 89/100 | B |
| autoskill | 90/100 | A |
| benchling-integration | 94/100 | A |
| bgpt-paper-search | 97/100 | A |
Questions
- Is cobrapy safe to install?
- No critical findings, some security notes. The scan covers prompt injection, hidden Unicode, remote code execution and credential access in every text file of the skill. It cannot judge intent, so read any flagged line in context before installing.
- How was this score calculated?
- Four checks of 25 points each: spec, efficiency, clarity and security. Findings take points off the check they belong to, and any critical finding caps the grade at F. The same scanner runs in your browser at proskills.dev/scan.
- Is this report current?
- It was made from commit a1043ef on 2026-10-16. If the skill has changed since, paste the new version into the scanner for a fresh score.
- I wrote this skill. Can I fix the score or have the page removed?
- Fix the findings and push. The reports are rebuilt from GitHub on a schedule, so the next run picks the change up. To have the page removed, open an issue on the ProSkills GitHub repo.
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