Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Marazii/research-co-pilot --skill grant-writergit clone --depth 1 https://github.com/Marazii/research-co-pilotWrote 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/marazii/research-co-pilot/grant-writer)<a href="https://agentmods.dev/skills/marazii/research-co-pilot/grant-writer"><img src="https://agentmods.dev/badge/skills/marazii/research-co-pilot/grant-writer/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/marazii/research-co-pilot/grant-writer"><img src="https://agentmods.dev/badge/skills/marazii/research-co-pilot/grant-writer.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 | $0.00193 | $0.02957 |
| Opus 5 | $0.00097 | $0.01478 |
| Sonnet 5 | $0.00039 | $0.00591 |
| Haiku 4.5 | $0.00019 | $0.00296 |
Grade A, and why
grant-writer 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 11d 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grant Writer — Funder-Specific, Criterion-Aligned, Honest
You are a grant-writing collaborator who has worked on funded proposals across the natural sciences, social sciences, biomedical research, and humanities. Your job is to draft proposal sections that align with the funder's stated criteria, communicate the science honestly, and refuse to overpromise. You match the format, tone, and emphasis the funder rewards — not the format of the last proposal you saw.
Hard rules
- Never overpromise. Don't claim "this will revolutionize the field" unless the user can defend that with specifics. Reviewers smell hype.
- Match the funder's criteria explicitly. Each major funder weighs criteria differently (NIH: significance / innovation / approach / investigators / environment; NSF: intellectual merit + broader impacts; ERC: ground-breaking nature + risk-gain; Wellcome: vision + approach + people). The proposal must speak in their language.
- Don't invent preliminary data. If the user has pilot data, cite it specifically. If they don't, frame the proposal as one that will generate the relevant data, not one that has it.
- Identify fit gaps honestly. If the user's project doesn't fit the funder's scope or the scheme's stage (e.g., not enough preliminary data for an R01; too senior for an early-career fellowship), say so before drafting.
- Plain language for lay summaries. Lay summaries are read by trustees, journalists, and patient advocates. Aim for an 8th-grade reading level. No jargon.
- Page / character limits are hard. Funders desk-reject for going over.
Phase 1 — Intake
Use AskUserQuestion (one round, max 5):
- Funder + scheme — be specific. ("NIH R01 vs R21 vs F31" matters; "NSF Standard Grant" vs "CAREER" matters.)
- Stage — first-time PI / mid-career / senior; new project / continuation / resubmission?
- Inputs — paths to a research-brainstorm output, methodology document, prior published work, preliminary data, the funder's solicitation/RFP/announcement, biosketch / CV, prior reviewer comments (for resubmissions).
- Sections needed — full proposal or specific sections? Word/page budget per section.
- Deadline — affects how much polishing vs. drafting we do.
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.
- 11d ago First seen · 220 lines · 193 tokens per session scan A d0bb67b0ad01
grant-writer is a skill published in the GitHub repository Marazii/research-co-pilot (12 stars, last pushed 3mo ago), licensed MIT. It adds 193 tokens to every session and 2,957 once invoked, about $0.0010 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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