nwb-conversion
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
Converts neuroscience acquisition data to Neurodata Without Borders files with NeuroConv and PyNWB, preserves metadata and timebases, checks evidence-based clock alignment, and produces schema validation, NWB Inspector findings and round-trip checks. Use for NWB conversion and synchronization of planar single-channel two-photon TIFF imaging plus timestamped behavioral position CSV; this skill does not perform spike sorting or claim tested support for arbitrary acquisition formats.
- Package
- 5 files, 33 KB
- SKILL.md
- 849 words, 6 sections
- Code
- Python (1)
- License
- MIT
- Compatibility
- Requires Python 3.12 with neuroconv[tiff] 0.10.2, PyNWB 4.2.0, NWB Inspector 0.7.2, roiextractors 0.10.0, tifffile 2026.9.20, zarr 2.18.7 and hdmf-zarr 0.11.3. Local HDF5 file access is required. Network is needed only for installation; no credentials.
SKILL.md covers: Validated NWB conversion · Supported streams · Install the tested environment · Workflow · Execute · Primary references
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 7.4 KB |
assets/session-template.json | config | 1.3 KB |
references/input-contract.md | doc | 4.7 KB |
references/upstream-review.md | doc | 3.9 KB |
scripts/convert_session.py | script | 16 KB |
External hosts referenced
neuroconv.readthedocs.io github.com pynwb.readthedocs.io
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-nwb-conversion-scan.json
- Badge for your README:
- Request a re-scan