pybamm
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Simulates lithium-ion battery charge, discharge and rest experiments with PyBaMM, records parameter-set provenance, checks mesh and solver sensitivity, and compares predicted voltage curves with measured cycling data. Use for SPM or DFN electrochemical battery modeling, C-rate protocols, voltage cutoffs, parameter studies and numerical validation of battery simulations.
- Package
- 4 files, 29 KB
- SKILL.md
- 809 words, 7 sections
- Code
- Python (1)
- License
- MIT
- Compatibility
- Requires Python 3.12 with PyBaMM 26.9.0.0 and pybammsolvers 0.10.0 (IDAKLU). NumPy and CasADi are supplied by PyBaMM. Network is needed for installation and optional upstream dataset retrieval; bundled simulations and CSV comparisons run locally without credentials.
SKILL.md covers: PyBaMM battery experiments · When to use · Runtime and tested case · Workflow · Run and inspect · measured.csv is user data with time_s,voltage_V,current_A columns. · Primary references
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 7.1 KB |
assets/chen2020-protocol.json | config | 340 B |
references/protocol-and-comparison.md | doc | 8.1 KB |
scripts/simulate_battery.py | script | 13 KB |
External hosts referenced
docs.pybamm.org github.com
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-pybamm-scan.json
- Badge for your README:
- Request a re-scan