fluidsim
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
Plans, configures, inspects, restarts, and analyzes bounded FluidSim computational-fluid-dynamics simulations with explicit numerical-validity and HPC safety checks. Use for FluidSim solver selection, parameter review, FFT/MPI setup, output diagnostics, or restart compatibility.
- Package
- 17 files, 202 KB
- SKILL.md
- 1477 words, 12+ sections
- Code
- Python (10)
- Allowed tools
ReadWriteBashGlobPython- License
- MIT
- Compatibility
- Bundled CLIs require Python 3.11+ and use the standard library; HDF5/netCDF4 metadata tools lazily use h5py when available. Simulation examples target fluidsim 0.9.0, fluidfft 0.4.5, and pyFFTW 0.15.1. MPI/native FFT use requires a site-compatible MPI implementation, development headers, FFTW/PFFT/P3DFFT libraries, compilers, and an approved scheduler workflow. No GPU backend is assumed.
SKILL.md covers: FluidSim · Required workflow · Version and installation · API snapshot · Solvers · Forcing and time advancement · Outputs, loading, and restart · Scientific acceptance gate · Bundled local tools · References · Verification coverage · Dated upstream basis
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 14 KB |
references/advanced_features.md | doc | 12 KB |
references/installation.md | doc | 10 KB |
references/output_analysis.md | doc | 11 KB |
references/parameters.md | doc | 10 KB |
references/simulation_workflow.md | doc | 12 KB |
references/solvers.md | doc | 8.1 KB |
scripts/__init__.py | script | 74 B |
scripts/_common.py | script | 15 KB |
scripts/_profiles.py | script | 12 KB |
scripts/_schema.py | script | 31 KB |
scripts/budget_summary.py | script | 14 KB |
scripts/grid_resource_estimator.py | script | 9.5 KB |
scripts/output_inventory.py | script | 11 KB |
scripts/restart_compatibility.py | script | 19 KB |
scripts/simulation_dry_run.py | script | 10 KB |
scripts/solver_config_validator.py | script | 2.1 KB |
External hosts referenced
fluidsim.readthedocs.io github.com doi.org fluidfft.readthedocs.io pypi.org arxiv.org docs.h5py.org export.arxiv.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
FLUIDSIM_PATH LIBRARY_PATH P3DFFT_DIR P3DFFT_INCLUDE_DIR P3DFFT_LIB_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-fluidsim-scan.json
- Badge for your README:
- Request a re-scan