13c-metabolic-flux
Estimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile diagnostics. Use for 13C-MFA, carbon tracing, mass isotopomer distributions (MDV
Install caution
Risk: High
Source: OpenClaw Master Skills
Path: skills/13c-metabolic-flux/SKILL.md
Review flags: filesystem/home-directory access, network access or external URLs, package installation commands, shell command snippets. These are review signals, not definitive security judgments; inspect before installing.
Required permissions
- • Environment variables / secrets
- • Shell commands
- • Network/API usage
- • Filesystem/home access
Permissions are inferred from SKILL.md text only. They are review prompts, not guarantees about runtime behavior.
Risk flags explained
Mentions filesystem writes, deletes, home-directory paths, or config/key locations.
Mentions external URLs, network APIs, downloads, or HTTP client usage.
Mentions package installation or dependency-fetching commands.
Contains shell command snippets. Review commands before copy/paste or agent execution.
Score explanation
Trust
- • Trust starts at 90 before review-signal penalties and metadata bonuses.
- • Risk-signal penalty: -45 from 4 detected flag(s).
- • Metadata bonus: +2 from author/version/description fields.
Utility
- • Utility starts at 55 and rewards clear descriptions, runnable examples, and explicit setup needs.
- • Description present: yes.
- • Command examples detected: 4.
- • Environment variables detected: 1.
Momentum
- • Momentum starts at 45 and uses public repo activity signals.
- • Recent commit activity: latest repo update was 1 day(s) ago.
- • Recent commit volume: 13 commit(s) in the lookback window (+20).
- • Source has strong public adoption: 2182 stars.
- • Fork activity suggests reuse: 331 forks.
Overall
- • Overall score weights trust 45%, utility 35%, and momentum 20%.
Detected signals
Env vars
- • API
Commands
- • .venv-mfa/bin/python
- • Scripts/python.exe
- • uv pip install --python .venv-mfa/bin/python -r "$SKILL_DIR/assets/requirements.txt"
- • uv venv --python 3.12 .venv-mfa
URLs
- • https://doi.org/10.1016/j.mec.2021.e00177
- • https://doi.org/10.1016/j.ymben.2006.09.001
- • https://fumiomatsuda.github.io/mfapy-document/mfapy.html
- • https://github.com/fumiomatsuda/mfapy/tree/a10433af16682386548b360297e2476152d46ede
Provenance & evidence
SkillRadar makes each review traceable back to the exact source path, source blob SHA, scanner version, and text-only policy that produced the report.
Evidence snippets
…tracer proportions already include unlabeled material. ### Recover a pathway split; then remove the informative measurement The analytical two-route model sends a two-carbon substrate…
…ents and generated results outside the skill. ```bash uv venv --python 3.12 .venv-mfa uv pip install --python .venv-mfa/bin/python -r "$SKILL_DIR/assets/requirements.txt" ``` The following…
…over any particular language model. ## Sources - [mfapy source at the tested revision](https://github.com/fumiomatsuda/mfapy/tree/a10433af16682386548b360297e2476152d46ede), version 0.6.…
…ing the actual resolved path. Keep environments and generated results outside the skill. ```bash uv venv --python 3.12 .venv-mfa uv pip install --python .venv-mfa/bin/python -r "$SKILL_D…
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SkillRadar scans SKILL.md as hostile text only. It does not execute commands, install packages, or load third-party skills.