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 Aperivue/medsci-skills --skill grant-buildergit clone --depth 1 https://github.com/Aperivue/medsci-skillsWrote 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/aperivue/medsci-skills/grant-builder)<a href="https://agentmods.dev/skills/aperivue/medsci-skills/grant-builder"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/grant-builder/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/aperivue/medsci-skills/grant-builder"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/grant-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.01282 |
| Opus 5.5 | $0.00020 | $0.00513 |
| Sonnet 5.5 | $0.00010 | $0.00256 |
| Haiku 4.5 | $0.00005 | $0.00128 |
Grade A, and why
grant-builder 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 25d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grant-Builder Skill
Write proposal prose in the language the target call requires. Produce whichever parts the request needs: concept summary, Significance, Innovation, Approach, specific aims, work packages, milestone table, role split by institution, evaluation framework, reviewer-risk memo.
Korean Government Grant Mode
When the user requests a Korean industry-academia grant (산학과제) or research plan (연구계획서) — e.g., MOHW, MOTIE, MSS or regional industry-academia programs — apply the adaptations below. Korean program terms are preserved in parentheses because they are the literal form used on the funding agency's template.
Document Structure (three-attachment format)
| Attachment | Contents |
|---|---|
| 1 (첨부1, 기본정보) | project title, participating institutions, investigator CVs, publication / patent record |
| 2 (첨부2, 매칭확인서) | per-institution cost-share confirmation, typically finalized after a kickoff meeting between the institutions |
| 3 (첨부3, 연구계획서) | the 10-page research plan — structure below |
Attachment 3 Standard Structure
1. Significance & Aims (약 2p)
- clinical problem with quantitative framing
- domestic + international trends (3–5 year literature / guideline window)
- differentiation of the proposed work
2. Research Content & Methods (약 4p)
- staged roadmap (Phase 1 – N with time ranges)
- pipeline schematic (mandatory when an AI pipeline is in scope)
- per-subproject institution and personnel assignment
3. Team Capability (약 1p)
- expertise + representative record (SCI papers, patents) per investigator
- cross-institution synergy (hospital = data / clinical; university = algorithm)
4. Expected Outcomes & Utilization (약 2p)
- quantitative targets: SCI papers, patents
- qualitative targets: clinical impact, standardization contribution
- linkage to follow-on larger grants (positioning as a seed)
5. Budget Plan (약 1p)
- RA salaries, computing equipment, consumables, academic activities, indirect costs
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.
- 25d ago Changed · -96 lines · +15 tokens per session 3709849233a8
- 1mo ago Changed · -2 lines b4b6d5d04294
- 1mo ago First seen · 252 lines · 36 tokens per session scan A 33b7848d79f9
grant-builder is a skill published in the GitHub repository Aperivue/medsci-skills (349 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 1,282 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
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shidi
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clinical-research
Use when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO /…
sr-search-record
An automated literature-review search and screening workflow using OpenAlex, an open database and API for scholarly research, and Zotero, a reference manager.
review-draft
A workflow for expanding a first draft of a review article into a structured academic manuscript. A review article combines and organizes existing research rather than reporting a new experiment.
review-synthesis
A literature-review workflow that combines evidence from the full text of selected research papers into a findings document. It uses different review methods for systematic, semi-systematic, and integrative reviews.