Borrowing it
Nothing to install: this file belongs to LionelHuanSi/awesome-ai-agent-skills. 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/LionelHuanSi/awesome-ai-agent-skills/main/.agents/skills/backend-api/SKILL.mdgit clone --depth 1 https://github.com/LionelHuanSi/awesome-ai-agent-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/lionelhuansi/awesome-ai-agent-skills/backend-api)<a href="https://agentmods.dev/skills/lionelhuansi/awesome-ai-agent-skills/backend-api"><img src="https://agentmods.dev/badge/skills/lionelhuansi/awesome-ai-agent-skills/backend-api/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/lionelhuansi/awesome-ai-agent-skills/backend-api"><img src="https://agentmods.dev/badge/skills/lionelhuansi/awesome-ai-agent-skills/backend-api.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 | $0.00041 | $0.00350 |
| Opus 5 | $0.00020 | $0.00175 |
| Sonnet 5 | $0.00008 | $0.00070 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
backend-api 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 11d 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
Backend Engineering & API Design Skill
Sourced from PatrickJS/awesome-cursorrules for robust FastAPI, Node.js, and API architecture.
Architecture & Layering Rules
- Clean Architecture / Domain-Driven Design (DDD):
- Controllers/Routers: Transport layer (HTTP/gRPC) handling request parsing and response formatting.
- Service/Domain Layer: Core business logic, completely decoupled from HTTP frameworks.
- Data Access Layer: Repositories/DAOs encapsulating database interactions.
API Design Standards
1. Request Validation & Schema Integrity
- Python: Use Pydantic V2 models for strict type validation, field constraints (
Field(gt=0)), and custom validators. - TypeScript: Use Zod or TypeBox schemas to validate runtime API payloads.
2. Error Handling & Standard Responses
- Use structured JSON error responses with standard error codes and human-readable messages.
- Catch domain exceptions at service boundaries and map cleanly to HTTP status codes.
3. Security Standards
- Authentication: JWT validation with expiration verification and key rotation.
- Authorization: Role-Based Access Control (RBAC) or Attribute-Based Access Control (ABAC) enforced at router middleware.
- CORS & Headers: Strict CORS origin whitelisting, Security headers.
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.
- 11d ago First seen · 32 lines · 41 tokens per session scan A 50ace815a674
backend-api is a skill published in the GitHub repository LionelHuanSi/awesome-ai-agent-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 350 once invoked, about $0.0002 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 2026-08-31.
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