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BD neuropixels-analysis

Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.

synthetic-sciences/OpenScience Agent Skills author: synthetic-sciences Apache-2.0 18 files · 7 scripts body ≈ 2 725 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Neuropixels neural recording analysis.

As a process D 41/100 · Unfinished process — References files that are not bundled: reference/standard_workflow.md, reference/api_reference.md, reference/plotting_guide.md

AnalyzerGitHubData and analyticstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
D
41/100
Unfinished process
References files that are not bundled: reference/standard_workflow.md, reference/api_reference.md, reference/plotting_guide.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: reference/standard_workflow.md
  • warning missing-ref reference to a missing file: reference/api_reference.md
  • warning missing-ref reference to a missing file: reference/plotting_guide.md
  • warning missing-ref reference to a missing file: reference/PREPROCESSING.md
  • warning missing-ref reference to a missing file: reference/SPIKE_SORTING.md
  • warning missing-ref reference to a missing file: reference/MOTION_CORRECTION.md
  • warning missing-ref reference to a missing file: reference/QUALITY_METRICS.md
  • warning missing-ref reference to a missing file: reference/AUTOMATED_CURATION.md
  • warning missing-ref reference to a missing file: reference/AI_CURATION.md
  • warning missing-ref reference to a missing file: reference/ANALYSIS.md

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: reference/standard_workflow.md, reference/api_reference.md, reference/plotting_guide.md
  • 0Tools and files. 10 referenced file(s) missing: reference/standard_workflow.md, reference/api_reference.md, reference/plotting_guide.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 33 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2725 tokens
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -32 of 6 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 442: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (10 of 10)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.