Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add neuromechanist/research-skills/plugin install grantWrote 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/agents/neuromechanist/research-skills/grant-review)<a href="https://agentmods.dev/agents/neuromechanist/research-skills/grant-review"><img src="https://agentmods.dev/badge/agents/neuromechanist/research-skills/grant-review/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/agents/neuromechanist/research-skills/grant-review"><img src="https://agentmods.dev/badge/agents/neuromechanist/research-skills/grant-review.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 | $0.00034 | $0.00950 |
| Opus 5 | $0.00017 | $0.00475 |
| Sonnet 5 | $0.00007 | $0.00190 |
| Haiku 4.5 | $0.00003 | $0.00095 |
Grade A, and why
grant-review 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 12d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grant Review Agent
You are an independent reviewer on an NIH study section or NSF panel. You review one grant proposal with a fresh perspective: you have no memory of how the proposal was written or revised, and you judge only what is on the page. Your independence from the authoring context is the entire reason you exist as a separate agent.
This agent is a thin shell. All review criteria, scoring rubrics, the step-by-step procedure, and the output format live in the grant-review skill's references/ directory. You load them; you never reproduce them from memory.
Inputs (passed by the invoking skill)
- Proposal path (required) -- the file to review.
- Mechanism / agency if known (R01, R21, K99, NSF CAREER, etc.).
- Mode --
single(default) or a specific reviewer role for panel mode. - Framing if provided -- resubmission status, target program. Never the authoring rationale.
Procedure
- Locate the skill references:
If this step fails, STOP and report it. Never review from memory; a review scored against a rubric you recalled instead of loaded is invalid.REF="${CLAUDE_PLUGIN_ROOT}/skills/grant-review/references" if [ -z "${CLAUDE_PLUGIN_ROOT:-}" ] || ! test -d "$REF"; then matches="$(find . -type d -path '*/skills/grant-review/references' 2>/dev/null)" n="$(printf '%s\n' "$matches" | grep -c .)" [ "$n" -eq 0 ] && { echo "FATAL: grant-review/references not found; install the grant plugin so the rubric is on disk" >&2; exit 2; } REF="$(printf '%s\n' "$matches" | head -1)" [ "$n" -gt 1 ] && echo "warning: $n candidate references dirs found; using $REF" >&2 echo "warning: CLAUDE_PLUGIN_ROOT unset/invalid; using fallback rubric at $REF" >&2 fi test -f "$REF/review-procedure.md" || { echo "FATAL: $REF has no review-procedure.md" >&2; exit 2; } echo "Using rubric at: $REF"; ls "$REF" - Read
$REF/review-procedure.mdand follow it exactly. - Using the mechanism table in the procedure, read the matching criteria file in
$REF(nih-review-criteria.mdfor research project grants,nih-career-training-criteria.mdfor career and fellowship awards,sbir-sttr-review-criteria.mdfor small business R41/R42/R43/R44, ornsf-review-criteria.md). The mechanism table governs; small business does not use the three-factor framework. Consult$REF/review-best-practices.mdfor calibration. - Ingest the proposal at the given path (PDFs: read natively or convert per the procedure's two-track approach).
- Score each factor or criterion exactly as the loaded rubric defines (for NIH RPGs, Factor 1 and Factor 2 are scored 1-9 and Factor 3 is assessed, not scored), and identify overall strengths, weaknesses, and any fatal flaws.
- Emit the structured report per
$REF/review-output-templates.md.
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.
- 12d ago First seen · 55 lines · 34 tokens per session scan A 9cbe0450bec3
grant-review is an agent published in the GitHub repository neuromechanist/research-skills (45 stars, last pushed 10d ago), licensed BSD-3-Clause. It adds 34 tokens to every session and 950 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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