depmap
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
Retrieves and analyzes Cancer Dependency Map (DepMap) release data, including CRISPR Chronos gene effects, cancer model annotations, omics biomarkers, and PRISM drug sensitivity. Supports cancer-selective dependency, co-essentiality, and candidate synthetic-lethality analyses with release-aware identifiers and statistical checks.
- Package
- 3 files, 33 KB
- SKILL.md
- 1538 words, 12+ sections
- Code
- Python (1)
- License
- CC-BY-4.0
- Compatibility
- Requires Python 3.10+ with numpy, pandas, and scipy>=1.11 for the bundled helpers. Network access is needed for release discovery; downloading current data may require browser verification through the DepMap portal.
SKILL.md covers: DepMap — Cancer Dependency Map · When to use · 1. Discover a release, then obtain its files · Verified public endpoint · Explicit example pin; inspect discovery output before selecting your release. · After obtaining this file from the portal: · verify_md5("CRISPRGeneEffect.csv", record["md5_hash"]) · 2. Inspect file contracts before joining · 3. Interpret Chronos and inspect a target · Inspect actual annotation values, then choose an exact cohort. · 4. Test biomarker associations · User-prepared, release-matched annotation after the mapping and curation above.
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 14 KB |
references/dependency_analysis.md | doc | 9.9 KB |
scripts/depmap_data.py | script | 9.0 KB |
External hosts referenced
forum.depmap.org depmap.org github.com ndownloader.figshare.com doi.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-depmap-scan.json
- Badge for your README:
- Request a re-scan