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/skills/neuromechanist/research-skills/grant-figure-qa)<a href="https://agentmods.dev/skills/neuromechanist/research-skills/grant-figure-qa"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/grant-figure-qa/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/neuromechanist/research-skills/grant-figure-qa"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/grant-figure-qa.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 | $0.00057 | $0.00639 |
| Opus 5 | $0.00028 | $0.00319 |
| Sonnet 5 | $0.00011 | $0.00128 |
| Haiku 4.5 | $0.00006 | $0.00064 |
Grade A, and why
grant-figure-qa 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 — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grant Figure QA
Routes a grant proposal's figures to an independent, fresh-context QA reviewer that checks every figure for NIH/NSF compliance (resolution, dimensions, fonts, color accessibility, content, captions) and returns a structured report. This skill is a thin dispatcher: the full checklist and report format live in references/figure-qa-procedure.md.
When to use
Activate when preparing a grant for submission and the figures need a compliance and accessibility pass, or when the user asks to check proposal figures.
Why a fresh-context reviewer
A compliance pass is more trustworthy from a reviewer that did not author the figures. Run it in a separate context and pass only the proposal directory and target agency. On tools without subagents, run the procedure inline.
Dispatch
In every branch the reviewer follows references/figure-qa-procedure.md.
- Claude Code:
Task(subagent_type: "grant-figure-qa", ...)passing the proposal directory and agency (NIH/NSF). Honor ano-qaopt-out by returning immediately. - Codex CLI: plugin installation exposes this skill, not a Codex subagent. To use a fresh-context Codex reviewer, first copy
agents/templates/grant-figure-qa.tomlto~/.codex/agents/or.codex/agents/, then invoke that configured agent if the current Codex surface supports/agent. 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.mdreviewer inagents/templates/. Invoke that configured agent when the current Copilot surface supports custom agents. If running outside a plugin install, copyagents/templates/grant-figure-qa.agent.mdto.github/agents/or~/.copilot/agents/. If no custom agent is available, use the fallback branch. - Fallback (no subagent support, or an interactive in-thread check): first locate the procedure (
$CLAUDE_PLUGIN_ROOT/skills/grant-figure-qa/references, elsefind . -type d -path '*/skills/grant-figure-qa/references' | head -1); if it cannot be found, stop and tell the user to install the grant plugin rather than guessing requirements. Then followreferences/figure-qa-procedure.mddirectly.
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.
- 12d ago First seen · 31 lines · 57 tokens per session scan A 6f257c725406
grant-figure-qa is a skill published in the GitHub repository neuromechanist/research-skills (45 stars, last pushed 9d ago), licensed BSD-3-Clause. It adds 57 tokens to every session and 639 once invoked, about $0.0003 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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