neuropixels-analysis
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 Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.
- Package
- 19 files, 140 KB
- SKILL.md
- 2060 words, 12+ sections
- Code
- Python (8)
- License
- MIT license
- Compatibility
- Requires Python 3.10+ with SpikeInterface, ProbeInterface, Neo, NumPy, SciPy, pandas, matplotlib, numba and scikit-learn. Optional sorters and models need separate dependencies and network access.
SKILL.md covers: Neuropixels Data Analysis · Overview · When to Use This Skill · Supported Hardware & Formats · Quick Start · Import and configure parallel processing · Global job kwargs are reused by all parallelizable steps · Loading data · Inspect available streams first · SpikeGLX (most common) — select the AP stream by name · Open Ephys · For quick iteration, slice the first 60 s
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 20 KB |
assets/analysis_template.py | script | 9.3 KB |
references/AI_CURATION.md | doc | 6.4 KB |
references/ANALYSIS.md | doc | 11 KB |
references/AUTOMATED_CURATION.md | doc | 6.3 KB |
references/MOTION_CORRECTION.md | doc | 4.6 KB |
references/PREPROCESSING.md | doc | 4.8 KB |
references/QUALITY_METRICS.md | doc | 6.2 KB |
references/SPIKE_SORTING.md | doc | 5.8 KB |
references/api_reference.md | doc | 7.9 KB |
references/plotting_guide.md | doc | 12 KB |
references/standard_workflow.md | doc | 9.9 KB |
scripts/_common.py | script | 2.7 KB |
scripts/compute_metrics.py | script | 5.5 KB |
scripts/explore_recording.py | script | 5.7 KB |
scripts/export_to_phy.py | script | 2.6 KB |
scripts/neuropixels_pipeline.py | script | 13 KB |
scripts/preprocess_recording.py | script | 4.7 KB |
scripts/run_sorting.py | script | 2.7 KB |
External hosts referenced
github.com spikeinterface.readthedocs.io arxiv.org huggingface.co neuroconv.readthedocs.io allensdk.readthedocs.io developers.openai.com docs.astral.sh docs.internationalbrainlab.org doi.org export.arxiv.org kilosort.readthedocs.io platform.claude.com probeinterface.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-neuropixels-analysis-scan.json
- Badge for your README:
- Request a re-scan