agentmods.dev

grant-review

grant-review is a skill for Claude Code, Codex from neuromechanist/research-skills. It costs 180 tokens per session (1,131 once invoked), scanned A, original, BSD-3-Clause.

A review workflow for evaluating a grant proposal against official NIH or NSF criteria. NIH and NSF are major United States research-funding agencies.

In plain words
What is it for?
Use it to review specific aims, research plans, project descriptions, R01s, K99s, or other NIH and NSF grant proposals.
Why use it?
It provides structured reviewer feedback and scores based on the selected agency’s criteria, using an independent review context to reduce bias.

Skill for Claude CodeCodex

Written for Claude Code and Codex: $CLAUDE_PLUGIN_ROOT variable, but also reads ~/.codex or $CODEX_HOME. Also seen: mentions subagents; mentions Claude Code; mentions Codex.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the grant plugin — 3 skills, 2 agents shipped together

not rated 45repo 9d ago A scan 180 tokens original BSD-3-Clause

Good fit Use it to review specific aims, research plans, project descriptions, R01s, K99s, or other NIH and NSF grant proposals.

Compare 6 skills from other repositories ↓
View source ↗ neuromechanist/research-skills neuromechanist.github.io
Install

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.

Claude Code
/plugin marketplace add neuromechanist/research-skills
Claude Code
/plugin install grant

Made for: Claude Code, Codex.

Or install grant, the plugin that ships this one along with the rest of its 3 skills, 2 agents.

Wrote 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.

agentmods badge for grant-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/neuromechanist/research-skills/grant-review/github.svg)](https://agentmods.dev/skills/neuromechanist/research-skills/grant-review)
Your own site
<a href="https://agentmods.dev/skills/neuromechanist/research-skills/grant-review"><img src="https://agentmods.dev/badge/skills/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.

agentmods 80×15 button for grant-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/neuromechanist/research-skills/grant-review"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/grant-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 180 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,131 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00180 $0.01131
Opus 5 $0.00090 $0.00566
Sonnet 5 $0.00036 $0.00226
Haiku 4.5 $0.00018 $0.00113

Measured 12d ago against content hash 278afa7508b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

plugins/grant/skills/grant-review/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Grant Proposal Review

Routes a grant proposal to an independent, fresh-context reviewer that scores it against the official NIH or NSF criteria and returns a structured review. This skill is a thin dispatcher: it decides how to run the reviewer and in which mode. The review procedure, criteria, scoring rubrics, and output templates all live in references/ and are loaded by the reviewer, not duplicated here.

When to use

Activate when the user wants feedback on a grant proposal (specific aims, research strategy, project description) evaluated against NIH or NSF review criteria.

Why a fresh-context reviewer

Review validity depends on independence: a reviewer that shares the conversation that produced the proposal is biased toward it. Run the reviewer in a separate context and pass only framing (proposal path, mechanism/agency, resubmission status, target program), never the authoring rationale. This is also why the reviewer is a subagent on tools that support one, and an inline procedure where they do not.

Modes (user decides each run)

  • Single (default): one independent reviewer applies the full procedure end to end.
  • Panel (opt-in): spawn N independent reviewers in parallel, then a synthesis pass. Trigger on "mock study section", "panel review", or an explicit request for multiple reviewers. NIH: 3 reviewers; NSF: 2-3 panelists. Each reviewer scores independently from references/; a final chair pass reconciles them into one output. Surface genuine disagreement rather than blindly averaging scores.

Dispatch

Pick the branch for the current tool. In every branch the reviewer follows references/review-procedure.md.

  • Claude Code: Task(subagent_type: "grant-review", ...) passing the proposal path, mechanism, and mode. For panel mode, launch one Task per reviewer role in parallel, then a final synthesis Task.
  • Codex CLI: plugin installation exposes this skill, not a Codex subagent. To use a fresh-context Codex reviewer, first copy agents/templates/grant-review.toml to ~/.codex/agents/ or .codex/agents/, then invoke that configured agent if the current Codex surface supports /agent. For panel mode, ensure max_threads covers the reviewer count. If no Codex subagent is configured or available, use the fallback branch.
  • Copilot CLI: plugin installation exposes this skill and, through .github/plugin/plugin.json, the .agent.md reviewer in agents/templates/. Invoke that configured agent when the current Copilot surface supports custom agents; use /fleet for panel mode when available. If running outside a plugin install, copy agents/templates/grant-review.agent.md to .github/agents/ or ~/.copilot/agents/. If no custom agent is available, use the fallback branch.
  • Fallback (no subagent support, or the user wants an interactive in-thread review): first locate the rubric ($CLAUDE_PLUGIN_ROOT/skills/grant-review/references, else find . -type d -path '*/skills/grant-review/references' | head -1); if it cannot be found, stop and tell the user to install the grant plugin rather than reviewing from memory. Then follow references/review-procedure.md directly in this context.

Read the full file on GitHub · 42 lines

Files

What ships with it

9 files 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.

Changes

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.

  1. 12d ago First seen · 42 lines · 180 tokens per session scan A 278afa7508b5

Subscribe to this mod's changes

grant-review is a skill published in the GitHub repository neuromechanist/research-skills (45 stars, last pushed 9d ago), licensed BSD-3-Clause. It adds 180 tokens to every session and 1,131 once invoked, about $0.0009 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.

Claude CodeResearchagenitc-aiai-marketplace-toolsai-skillscodexcopilot
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