pymc
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Builds and checks Bayesian models with PyMC, including hierarchical models, NUTS MCMC, variational inference, mutable-data predictions, posterior predictive checks, diagnostics, and PSIS-LOO model comparison. Use for probabilistic modeling and uncertainty inference in PyMC.
- Package
- 10 files, 83 KB
- SKILL.md
- 1173 words, 8 sections
- Code
- Python (4)
- Allowed tools
ReadWriteEditBash- License
- Apache License, Version 2.0
- Compatibility
- Requires Python 3.12+ with PyMC 6.3.2, PyTensor 3.3.2 and ArviZ 1.3-compatible dependencies; NumPy, pandas, Matplotlib, h5netcdf and h5py for bundled helpers/artifacts. Network access for installation only. Optional nutpie, NumPyro and BlackJAX samplers need separate dependencies.
SKILL.md covers: PyMC Bayesian Modeling · Version and scope · Workflow · Runnable templates · Diagnostic and comparison helpers · Distribution and inference choices · Primary sources · Citing Scientific Agent Skills
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 10 KB |
assets/hierarchical_model_template.py | script | 5.7 KB |
assets/linear_regression_template.py | script | 4.6 KB |
references/distributions.md | doc | 15 KB |
references/model_patterns.md | doc | 4.5 KB |
references/sampling_inference.md | doc | 7.9 KB |
references/standard_workflow.md | doc | 4.8 KB |
references/workflows.md | doc | 7.6 KB |
scripts/model_comparison.py | script | 14 KB |
scripts/model_diagnostics.py | script | 9.0 KB |
External hosts referenced
www.pymc.io python.arviz.org arxiv.org doi.org export.arxiv.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-pymc-scan.json
- Badge for your README:
- Request a re-scan