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 PangenomeAI/academic-skills-food-nutrition --skill food-proposalgit clone --depth 1 https://github.com/PangenomeAI/academic-skills-food-nutritionWrote 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/pangenomeai/academic-skills-food-nutrition/food-proposal)<a href="https://agentmods.dev/skills/pangenomeai/academic-skills-food-nutrition/food-proposal"><img src="https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/food-proposal/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/pangenomeai/academic-skills-food-nutrition/food-proposal"><img src="https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/food-proposal.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 | $0.00186 | $0.01232 |
| Opus 5 | $0.00093 | $0.00616 |
| Sonnet 5 | $0.00037 | $0.00246 |
| Haiku 4.5 | $0.00019 | $0.00123 |
Grade A, and why
food-proposal 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Food-Proposal — Research & Funding Proposal Orchestrator
The proposal counterpart of food-pipeline. It does not research, write, or review
itself — it routes the proposal to the specialist skills and enforces the target
funding scheme's format, length limit, and assessment criteria at every gate.
Original work; the orchestration mirrors food-pipeline.
Scheme first — the key difference from a paper
A proposal is written to a funding scheme's format, the way a manuscript is written
to a journal's. Before anything else, resolve the target scheme
(references/scheme-selection.md): ask the user which scheme, then load its spec from
schemes/<id>.md + schemes/schemes.json (required headings in order, page/word limit,
font, assessment criteria). Built-in: arc-discovery-eoi, arc-discovery-full,
uom-major-minor-project (see schemes/INDEX.md). If the scheme isn't built in,
don't guess — ask the user to upload the scheme's guideline / sample form and run
scheme_extractor to capture its format into a new schemes/<id>.md + schemes.json
entry. Every scheme carries a length limit — enforce it with
scripts/proposal_wordcount.py.
Own subagents
proposal_router— reads what the user has (topic only, or an existing draft), resolves the scheme, picks the entry stage, and assembles each downstream skill's input. Mirrorsfood-pipeline's intake router.scheme_extractor— when the scheme isn't built in, extracts its format (headings, order, limits, font, criteria) from the user's uploaded guideline/sample into a new scheme spec.compliance_gate— the checkpoint between stages: verifies required headings are present and in order, the length limit is met (proposal_wordcount.py), the font/ format matches, and the content addresses every assessment criterion.
Stages
| Stage | Skill / agent | Deliverable | Gate |
|---|---|---|---|
| 0 · SCHEME | proposal_router + scheme resolution |
Target scheme spec (headings, limit, criteria) | — |
| 1 · RESEARCH | food-deep-research (or agri-deep-research; food-research) |
Knowledge base / evidence for the case | evidence sufficiency |
| 2 · DRAFT | food-paper (or agri-paper) writing to the scheme's headings |
Proposal draft in the scheme format | compliance_gate: headings + length + criteria |
| 3 · REVIEW | food-review (or agri-review) as a mock funding panel vs the criteria |
Review report + editorial decision | mandatory author decision |
| 4 · REVISE | food-paper (revise) |
Revised proposal (tracked changes; original Word opt-in) | issues resolved + still within limit |
| 5 · FINALIZE | food-paper (format-convert) |
Submission-ready proposal (.docx/PDF) to scheme format |
final compliance |
What ships with it
13 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.
- agents/compliance_gate.md 1.8 KB
- agents/proposal_router.md 1.7 KB
- agents/scheme_extractor.md 1.5 KB
- references/assessment-alignment.md 1.8 KB
- references/format-and-limits.md 1.6 KB
- references/proposal-workflow.md 2.1 KB
- references/scheme-selection.md 1.7 KB
- schemes/_scheme-template.md 839 B
- schemes/arc-discovery-eoi.md 1.9 KB
- schemes/arc-discovery-full.md 2.2 KB
- schemes/INDEX.md 1.3 KB
- schemes/schemes.json 2.5 KB
- schemes/uom-major-minor-project.md 2.5 KB
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 · 70 lines · 186 tokens per session scan A 6f2db1f08a8e
food-proposal is a skill published in the GitHub repository PangenomeAI/academic-skills-food-nutrition (31 stars, last pushed 12d ago), licensed MIT. It adds 186 tokens to every session and 1,232 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.
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