Borrowing it
Nothing to install: this file belongs to Cyruskraad/codex-claude-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Cyruskraad/codex-claude-mcp/main/.agents/skills/designing-mcp-products/SKILL.mdgit clone --depth 1 https://github.com/Cyruskraad/codex-claude-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/cyruskraad/codex-claude-mcp/designing-mcp-products)<a href="https://agentmods.dev/skills/cyruskraad/codex-claude-mcp/designing-mcp-products"><img src="https://agentmods.dev/badge/skills/cyruskraad/codex-claude-mcp/designing-mcp-products/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/cyruskraad/codex-claude-mcp/designing-mcp-products"><img src="https://agentmods.dev/badge/skills/cyruskraad/codex-claude-mcp/designing-mcp-products.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00032 | $0.00368 |
| Opus 5.5 | $0.00013 | $0.00147 |
| Sonnet 5.5 | $0.00006 | $0.00074 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
designing-mcp-products 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
designing-mcp-products
Produce the smallest decision-ready MCP product design before code or hosted mutation.
Use when
- Turn a vague product idea into an MCP product.
- Decide whether this job needs an MCP App.
Do not use when
- Do not use for an already specified implementation.
- Do not use for generic product or UI design outside MCP.
Required inputs
- Target user and job.
- System data or action the model cannot supply.
- Requested stopping point.
Workflow
Read and follow the canonical playbook references/experience-design.md at ../noodle-seed/references/experience-design.md. It owns the workflow; do not recreate it here or load the command catalog speculatively.
Load references/authoring-workflow.md at ../noodle-seed/references/authoring-workflow.md only when the playbook or observed evidence names that concern.
Verification evidence
A bounded product contract states user benefit, model boundary, interaction, fallback, risks, and next implementation skill.
Recovery paths
If the idea is broad, reduce it to one conversational job and one representative success path.
Stop conditions
Stop before implementation when the design inputs or product fit are unresolved.
Handoff contract
Pass the selected outcome, explicit target, changed files, commands run, passing evidence, first unproven evidence layer, sanitized failure, remaining authority, and exact next action. The receiving skill continues from that layer; do not restart discovery or discard prior proof.
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 · 48 lines · 32 tokens per session scan A c98c60903037
designing-mcp-products is a skill published in the GitHub repository Cyruskraad/codex-claude-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 368 once invoked, about $0.0001 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 2026-08-31.
designing-mcp-products compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| designing-mcp-productsCyruskraad/codex-claude-mcp | Skill | 0 | 2mo ago | MIT | A | 32 | 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 |