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-pairing-workflowgit 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-pairing-workflow)<a href="https://agentmods.dev/skills/kaikaku-ai/epicure-mcp/epicure-pairing-workflow"><img src="https://agentmods.dev/badge/skills/kaikaku-ai/epicure-mcp/epicure-pairing-workflow/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-pairing-workflow"><img src="https://agentmods.dev/badge/skills/kaikaku-ai/epicure-mcp/epicure-pairing-workflow.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 | $0.00048 | $0.00194 |
| Opus 5.5 | $0.00019 | $0.00078 |
| Sonnet 5.5 | $0.00010 | $0.00039 |
| Haiku 4.5 | $0.00005 | $0.00019 |
Grade A, and why
epicure-pairing-workflow 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 pairing workflow
- Confirm seed ingredients (one or more). Prefer catalogue names Epicure knows.
- Call
find_pairingsfor a diversified cluster-and-bridge graph. - Optionally validate key edges with
pairing_score. - For substitution ideas around a seed, use
neighborsand optionallycompare_on_axison a relevant sensory or cuisine axis. - Summarise: recommended partners, bridges between clusters, and any weak or surprising edges worth tasting notes — not health claims.
Keep graphs actionable: highlight a small set of high-signal partners rather than dumping the full tool payload unless the user asks for detail.
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 · 18 lines · 48 tokens per session scan A 53ca6fb96d74
epicure-pairing-workflow is a skill published in the GitHub repository KAIKAKU-AI/epicure-mcp (82 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 194 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-pairing-workflow compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| epicure-pairing-workflowKAIKAKU-AI/epicure-mcp | Skill | 82 | 2mo ago | MIT | A | 48 | 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 |