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 agri-pptgit 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/agri-ppt)<a href="https://agentmods.dev/skills/pangenomeai/academic-skills-food-nutrition/agri-ppt"><img src="https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/agri-ppt/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/agri-ppt"><img src="https://agentmods.dev/badge/skills/pangenomeai/academic-skills-food-nutrition/agri-ppt.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 | $0.00184 | $0.00770 |
| Opus 5 | $0.00092 | $0.00385 |
| Sonnet 5 | $0.00037 | $0.00154 |
| Haiku 4.5 | $0.00018 | $0.00077 |
Grade A, and why
agri-ppt 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.
What it actually says
Agri-Ppt — Editable Presentations from Agricultural Reports
Run the food-ppt skill exactly — its subagents (ppt_coordinator,
outline_planner, slide_writer, figure_placer, deck_builder, deck_qa), its
scripts/build_pptx.py builder, and its references (source-to-slides, deck-spec,
slide-design, editability-and-qa) — with the agriculture substitutions in
agri-research/references/agriculture-domain.md.
Read that file first. No new machinery here.
The substitutions
- Persona — present as a senior agricultural scientist of the specific discipline (agronomy · soil science · horticulture · dairy & animal science · agricultural engineering · agricultural economics). Slide framing and emphasis fit that discipline's audience.
- Source — the outputs of
agri-research/agri-deep-research/agri-paper/agri-pipeline, or any user document (Word · PDF · Markdown · txt). - Theme — prefer the agriculture-leaning themes terracotta or forest (or
sage/slate) from
food-ppt/templates/INDEX.md; infer from topic or ask. - Emphasis — foreground what an agricultural audience needs: site/season/design and replication for field trials, the experimental unit, G×E, and units (t/ha, kg/ha) — carried from the source, never invented.
Inherited unchanged (not optional)
Fully editable output (native text frames, native tables, movable picture objects;
never a flattened image or a PDF-in-place-of-pptx); presenter notes on every slide;
clean, non-generic design (informed by taste-skill + ui-ux-pro-max-skill, incl.
metric big-number heroes and cards grids); grounding — slides only as true as the
source, no fabricated finding/number/citation; the academic-style + human-writing.md
pairing on slide prose; scripts/privacy_scan.py before delivery; and the AI-use
disclosure slide when presenting AI-assisted work. See food-ppt/SKILL.md.
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 · 43 lines · 184 tokens per session scan A 76d5191c6a15
agri-ppt is a skill published in the GitHub repository PangenomeAI/academic-skills-food-nutrition (31 stars, last pushed 12d ago), licensed MIT. It adds 184 tokens to every session and 770 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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