food-proposal

food-proposal is a skill for Claude Code from PangenomeAI/academic-skills-food-nutrition. It costs 186 tokens per session (1,232 once invoked), scanned A, original, MIT.

A coordinator for writing research and funding proposals in food, nutrition, and agricultural science. It first identifies the funding scheme's required structure, length, formatting, and assessment criteria, then routes work to specialist skills.

In plain words
What is it for?
Preparing funding applications, extracting requirements from proposal guidelines, drafting proposal sections, checking word counts, and reviewing work against a scheme's assessment criteria.
Why use it?
It prevents a proposal from being written in the wrong format or exceeding the scheme's limits. If a scheme is unfamiliar, it requires the user to provide its guidelines instead of guessing.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the academic-skills-food-nutrition plugin — 41 skills shipped together

Good fit Preparing funding applications, extracting requirements from proposal guidelines, drafting proposal sections, checking word counts, and reviewing work against a scheme's assessment criteria.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pangenomeai/academic-skills-food-nutrition/food-proposal
Install

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.

Any agent
npx skills add PangenomeAI/academic-skills-food-nutrition --skill food-proposal
Clone the repo
git clone --depth 1 https://github.com/PangenomeAI/academic-skills-food-nutrition

Made for: Claude Code.

Or install academic-skills-food-nutrition, the plugin that ships this one along with the rest of its 41 skills.

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 food-proposal

README.md
[![agentmods](https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/food-proposal/github.svg)](https://agentmods.dev/skills/pangenomeai/academic-skills-food-nutrition/food-proposal)
Your own site
<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.

agentmods 80×15 button for food-proposal

Your own site · 80×15
<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>
Per session 186 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,232 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00186 $0.01232
Opus 5 $0.00093 $0.00616
Sonnet 5 $0.00037 $0.00246
Haiku 4.5 $0.00019 $0.00123

Measured 12d ago against content hash 6f2db1f08a8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

food-proposal/SKILL.md · 70 lines

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. Mirrors food-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

Read the full file on GitHub · 70 lines

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 · 70 lines · 186 tokens per session scan A 6f2db1f08a8e

Subscribe to this mod's changes

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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