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 microwind/ai-skills --skill restful-api-designgit clone --depth 1 https://github.com/microwind/ai-skillsWrote 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/microwind/ai-skills/restful-api-design)<a href="https://agentmods.dev/skills/microwind/ai-skills/restful-api-design"><img src="https://agentmods.dev/badge/skills/microwind/ai-skills/restful-api-design/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/microwind/ai-skills/restful-api-design"><img src="https://agentmods.dev/badge/skills/microwind/ai-skills/restful-api-design.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 | $0.00037 | $0.07142 |
| Opus 5 | $0.00018 | $0.03571 |
| Sonnet 5 | $0.00007 | $0.01428 |
| Haiku 4.5 | $0.00004 | $0.00714 |
Grade B, and why
RESTful API设计 scanned grade B with 2 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 10d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
print("curl -X POST http://localhost:5000/api/v1/users -H 'Content-Type: application/json' -d '{\"name\":\"John\",\"email\":\"[email protected]\"}'") Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
print("curl -X GET http://localhost:5000/api/v1/users") The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 1,037 lines · 37 tokens per session scan B adf8f3eae09b
RESTful API设计 is a skill published in the GitHub repository microwind/ai-skills (78 stars, last pushed 3mo ago), with no licence file. It adds 37 tokens to every session and 7,142 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
moai-platform-deployment
Deployment and hosting platform specialist covering Vercel, Railway, and Convex. Use when deploying applications, configuring edge functions, setting up continuous deployment, or managing serverless infrastructure.
multi-service-orchestration
PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.
moai-platform-auth
Authentication and authorization specialist covering Auth0, Clerk, and Firebase Auth. Use when implementing authentication, MFA, SSO, passkeys, WebAuthn, social login, or security features.
architecture-patterns
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
specification-generation
Convert requirements into structured technical specifications with architecture decisions.
multi-app-orchestration
Orchestrate workflows across multiple applications and APIs — inter-app coordination, data handoff, and multi-system task completion.