scikit-survival
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
Builds, evaluates, and audits right-censored or competing-risk survival workflows with scikit-survival, including leakage-safe preprocessing, model selection, probability prediction, and censoring-aware metrics.
- Package
- 13 files, 156 KB
- SKILL.md
- 1788 words, 12+ sections
- Code
- Python (6)
- Allowed tools
ReadWriteEditBash- License
- MIT
- Compatibility
- Requires Python 3.11+, uv, and the pinned scikit-survival 0.28.0 stack for executable examples. Bundled CLIs are local and network-free by default.
SKILL.md covers: scikit-survival · Scope · Current release and installation · Non-negotiable workflow · Outcome construction · Equivalent for pandas or Polars: · Leakage-safe pipeline · Model choice · Prediction and metric contracts · Pipelines, metadata routing, and tuning · Competing risks · status: integer array, 0=censored, 1..K=mutually exclusive causes
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 16 KB |
references/competing-risks.md | doc | 11 KB |
references/cox-models.md | doc | 8.9 KB |
references/data-handling.md | doc | 10.0 KB |
references/ensemble-models.md | doc | 11 KB |
references/evaluation-metrics.md | doc | 15 KB |
references/svm-models.md | doc | 9.7 KB |
scripts/_common.py | script | 15 KB |
scripts/competing_risk_cif.py | script | 12 KB |
scripts/evaluate_survival_metrics.py | script | 12 KB |
scripts/model_report.py | script | 11 KB |
scripts/train_survival_model.py | script | 19 KB |
scripts/validate_survival_csv.py | script | 5.6 KB |
External hosts referenced
scikit-survival.readthedocs.io doi.org github.com arxiv.org export.arxiv.org projecteuclid.org pypi.org
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-scikit-survival-scan.json
- Badge for your README:
- Request a re-scan