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 agentmods add skills/riggdai/uniqent/plan-menunpx skills add RiggdAI/uniqent --skill plan-menugit clone --depth 1 https://github.com/RiggdAI/uniqentWrote 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/riggdai/uniqent/plan-menu)<a href="https://agentmods.dev/skills/riggdai/uniqent/plan-menu"><img src="https://agentmods.dev/badge/skills/riggdai/uniqent/plan-menu.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00254 |
| Opus 5 | $0.00010 | $0.00127 |
| Sonnet 5 | $0.00004 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
plan-menu 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 6d 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
Plan Menu
When asked to plan a menu:
- Clarify the brief. Confirm: number of days, meal periods (breakfast/lunch/dinner), food-cost target (default 30%), and any hard dietary requirements (vegan, halal, allergen-free).
- Select seasonal ingredients. Use web fetch to check what is in season for the current month and region. Prefer items with short supplier lead-times.
- Draft the menu. For each dish include: name, main ingredients, estimated food cost %, portion sizes (protein / starch / vegetable), and allergen labels.
- Check coverage. Verify at least one vegan and one halal option appears in every service period. Flag any period where this is not met.
- Confirm cost compliance. Calculate the blended food-cost % across the full menu. If any dish exceeds the target, flag it and suggest a swap before finalising.
- Output a clean table per day/meal, followed by a summary row showing overall food-cost %.
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.
- 6d ago First seen · 21 lines · 20 tokens per session scan A faf1b9b9265c
plan-menu is a skill published in the GitHub repository RiggdAI/uniqent (15 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 254 once invoked, about $0.0001 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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