cellprofiler
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
The two scanners disagree: Cisco found nothing and SkillSpector says do not install. One of them has a blind spot here; read the skill before trusting either. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Runs reproducible CellProfiler microscopy pipelines for nuclear segmentation, cell counts, and per-object fluorescence measurements. Supports image/channel manifests, headless batch execution, segmentation overlays, and measurement QC for 2D fluorescence assays.
- Package
- 4 files, 32 KB
- SKILL.md
- 877 words, 5 sections
- Code
- Python (1)
- License
- MIT
- Compatibility
- Python 3.12+ with numpy and tifffile for current helper-only dependencies; a separate CellProfiler 4.2.8 application/container for segmentation. Full CellProfiler has older native dependencies. Network access is needed for installation only. No credentials required.
SKILL.md covers: CellProfiler quantitative microscopy · Workflow · Run the bounded assay · Interpret the outputs · Sources
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 7.5 KB |
assets/nuclei.cppipe | other | 5.5 KB |
references/runtime-and-qc.md | doc | 7.5 KB |
scripts/nuclei_assay.py | script | 11 KB |
External hosts referenced
cellprofiler-manual.s3.amazonaws.com cellprofiler.org github.com pypi.org hub.docker.com www.cellprofiler.org www.cgohlke.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.
Environment variables referenced
CELLPROFILER_TEST_EXECUTABLE URL_DNA
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-cellprofiler-scan.json
- Badge for your README:
- Request a re-scan