flowkit
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
Analyzes flow cytometry data with FlowKit, including spillover compensation, logicle and biexponential transforms, hierarchical gating, GatingML strategies, and supported FlowJo 10 workspaces. Use for reproducible gate counts, population percentages, gated fluorescence summaries, or reproducing a FlowJo analysis in Python. For FCS metadata inspection or file-format repair alone, use FlowIO.
- Package
- 4 files, 28 KB
- SKILL.md
- 928 words, 8 sections
- Code
- Python (1)
- License
- MIT
- Compatibility
- Requires Python 3.13 with flowkit==1.3.2 for the tested environment. Dependencies include FlowIO, FlowUtils, NumPy, pandas, SciPy, lxml, and Bokeh. Installation needs network access; analysis uses local FCS/XML/WSP files without credentials. FlowUtils needs a C compiler if a compatible wheel is unavailable.
SKILL.md covers: FlowKit · When to use · Install · Workflow · Apply an existing strategy · Build a strategy in Python · Interpretation checks · References
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 8.5 KB |
references/compensation-and-gating.md | doc | 4.8 KB |
references/workspaces-and-results.md | doc | 6.4 KB |
scripts/analyze_gates.py | script | 8.6 KB |
External hosts referenced
flowkit.readthedocs.io github.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.
Environment variables referenced
FLOWKIT_SKILL_DIR
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-flowkit-scan.json
- Badge for your README:
- Request a re-scan