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 commands/ashfaqbs/software-dev-ai-claude-toolkit/api-designgit clone --depth 1 https://github.com/Ashfaqbs/software-dev-ai-claude-toolkitWrote 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/commands/ashfaqbs/software-dev-ai-claude-toolkit/api-design)<a href="https://agentmods.dev/commands/ashfaqbs/software-dev-ai-claude-toolkit/api-design"><img src="https://agentmods.dev/badge/commands/ashfaqbs/software-dev-ai-claude-toolkit/api-design.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 | $0.00007 | $0.00315 |
| Opus 5 | $0.00003 | $0.00158 |
| Sonnet 5 | $0.00001 | $0.00063 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
api-design 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 4d 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
API Design
Design REST API endpoints for: $ARGUMENTS
Deliverables
- Endpoint list — method, path, description, auth required (yes/no)
- Request/Response schemas — with field names, types, required/optional, validation rules
- Error responses — standard error format with HTTP status codes
- Data model — what entities/collections/tables are needed
Format
For each endpoint, provide:
[METHOD] /api/v1/resource
Auth: required / public
Request body: { ... }
Response 200: { ... }
Response 400: { error: "...", details: [...] }
Guidelines
- RESTful naming: plural nouns for collections (
/users,/orders), no verbs in paths. - Use proper HTTP methods: GET (read), POST (create), PUT (full update), PATCH (partial update), DELETE.
- Use proper status codes: 200, 201, 204, 400, 401, 403, 404, 409, 422, 500.
- Pagination for list endpoints:
?page=1&size=20or cursor-based. - Filter and sort support where applicable.
- Consider rate limiting requirements.
Rules
- DO NOT write code yet. This is design only.
- WAIT for approval before implementation.
- If the feature touches existing endpoints, read them first and stay consistent.
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.
- 4d ago First seen · 40 lines · 7 tokens per session scan A ca41ea8497aa
api-design is a command published in the GitHub repository Ashfaqbs/software-dev-ai-claude-toolkit (24 stars, last pushed 6mo ago), licensed MIT. It adds 7 tokens to every session and 315 once invoked, about $0.0000 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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