Borrowing it
Nothing to install: this file belongs to bjhardcastle/nwb-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bjhardcastle/nwb-mcp-server/main/.claude/skills/nwb-mcp-analysis/SKILL.mdgit clone --depth 1 https://github.com/bjhardcastle/nwb-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bjhardcastle/nwb-mcp-server/nwb-mcp-analysis)<a href="https://agentmods.dev/skills/bjhardcastle/nwb-mcp-server/nwb-mcp-analysis"><img src="https://agentmods.dev/badge/skills/bjhardcastle/nwb-mcp-server/nwb-mcp-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bjhardcastle/nwb-mcp-server/nwb-mcp-analysis"><img src="https://agentmods.dev/badge/skills/bjhardcastle/nwb-mcp-server/nwb-mcp-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.00868 |
| Opus 5.5 | $0.00033 | $0.00347 |
| Sonnet 5.5 | $0.00017 | $0.00174 |
| Haiku 4.5 | $0.00008 | $0.00087 |
Grade A, and why
nwb-mcp-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NWB MCP Analysis
Two-phase workflow: explore with SQL first, then incorporate findings into code if the user needs more complex analysis or re-runnable code.
Phase 0: Confirm The Active Source
The server may start with no dataset configured at all. Do not assume a preset root_dir or dandiset_id exists.
Recommended order before any schema or SQL work:
- Call
get_active_source - If the source is unset, choose one in chat:
use_local_source(root_dir="...")use_dandiset_source(dandiset_id="000363")
- If the user wants to go back to any startup preset, call
reset_active_source
Important behavior:
- Source selection is scoped to the current chat session, not global across all clients. You can still change the active source multiple times within the same chat session if needed, accepting the cost of rescanning or reinitializing the new dataset.
nwb_file_search_code_snippetdepends on the active source and will fail until one is selected.- If a dataset-dependent tool says no dataset is active, switch sources first instead of retrying the same query.
Phase 1: Explore
Recommended order:
get_active_sourceif you have not checked the source yetget_tablesto see what is availableget_nwb_pathsto check how many files are in the dataset before diving in; the count shapes how you interpret aggregate resultsget_table_schemaon tables of interestexecute_queryfor targeted analysis
Avoid preview_table_values unless you need actual cell values. get_table_schema is faster and cheaper for schema discovery.
TimeSeries tables (those with timestamps and data columns) can be huge when concatenated across many files or sampled at high rates. Before querying them, warn the user and propose a strategy:
- slice to specific time windows
- subsample every Nth row for a representative overview
Ask which approach they prefer unless the context already makes the choice obvious (e.g. slicing is a natural fit for trial-aligned analysis).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 74 lines · 83 tokens per session scan A 6859d9af0858
nwb-mcp-analysis is a skill published in the GitHub repository bjhardcastle/nwb-mcp-server (2 stars, last pushed 5mo ago), licensed MIT. It adds 83 tokens to every session and 868 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
nwb-mcp-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| nwb-mcp-analysisbjhardcastle/nwb-mcp-server | Skill | 2 | 5mo ago | MIT | A | 83 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |