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 KAIKAKU-AI/epicure-mcp --skill epicure-flavour-toolsgit clone --depth 1 https://github.com/KAIKAKU-AI/epicure-mcpWrote 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/kaikaku-ai/epicure-mcp/epicure-flavour-tools)<a href="https://agentmods.dev/skills/kaikaku-ai/epicure-mcp/epicure-flavour-tools"><img src="https://agentmods.dev/badge/skills/kaikaku-ai/epicure-mcp/epicure-flavour-tools/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/kaikaku-ai/epicure-mcp/epicure-flavour-tools"><img src="https://agentmods.dev/badge/skills/kaikaku-ai/epicure-mcp/epicure-flavour-tools.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 | $0.00045 | $0.00353 |
| Opus 5.5 | $0.00018 | $0.00141 |
| Sonnet 5.5 | $0.00009 | $0.00071 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
epicure-flavour-tools 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 2mo 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
Epicure flavour tools
Epicure is a public, anonymous, read-only MCP over 1,790 ingredient embeddings. Results are deterministic statistical relationships from bundled artefacts — not food safety, allergy, medical, or nutritional advice.
When to use which tool
| Goal | Tool |
|---|---|
| Nearest substitutes / neighbours | neighbors |
| Compare two ingredients on an axis | compare_on_axis |
| Exact pair affinity | pairing_score |
| Cuisine association | cultural_profile |
| Axis relationships | flavour_correlations |
| Rotate toward a direction/mode/ingredient | morph (+ list_targets) |
| Named ICA factors | list_factors, ingredient_on_factor |
| Trade-off frontier | pareto_navigate |
| Flavour region / mode | closest_mode |
| 2-D atlas placement | where_on_atlas |
| Diversified pairing graph | find_pairings |
Prefer compact defaults. Only request expanded detail when the user needs it. Use exact ingredient names from the Epicure catalogue; if a name fails, try a common synonym or ask the user to clarify.
Response posture
- Cite the Epicure tool results; do not invent embeddings or scores.
- Separate culinary creativity from safety: never claim allergen-free or dietary compliance from Epicure alone.
- Prefer a short recommendation plus the supporting numbers or neighbours.
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.
- 2mo ago First seen · 38 lines · 45 tokens per session scan A 53611344f26e
epicure-flavour-tools is a skill published in the GitHub repository KAIKAKU-AI/epicure-mcp (82 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 353 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.
epicure-flavour-tools compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| epicure-flavour-toolsKAIKAKU-AI/epicure-mcp | Skill | 82 | 2mo ago | MIT | A | 45 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |