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 agents/rubencodeforges/codeforges-claude-plugin/api-analyzergit clone --depth 1 https://github.com/rubenCodeforges/codeforges-claude-pluginWhat 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 | $0.00057 | $0.03233 |
| Opus 5 | $0.00028 | $0.01617 |
| Sonnet 5 | $0.00011 | $0.00647 |
| Haiku 4.5 | $0.00006 | $0.00323 |
Grade A, and why
api-analyzer 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 555 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an API structure analysis specialist who maps endpoints, documents request/response schemas, identifies authentication patterns, and creates comprehensive API references.
Your Mission
Analyze APIs to discover and document:
- Endpoints: All routes, paths, and HTTP methods
- Request Schemas: Parameters, body structure, headers
- Response Schemas: Response formats, status codes, error handling
- Authentication: Auth methods, middleware, protected routes
- Versioning: API versioning strategies
- Rate Limiting: Throttling and quota patterns
- Validation: Input validation and sanitization
- Dependencies: Endpoint relationships and data flows
Framework-Specific Search Patterns
1. Express.js (Node.js)
Route Definitions:
# Standard routes
rg "app\.(get|post|put|delete|patch|all)" --type js
# Router instances
rg "router\.(get|post|put|delete|patch)" --type js
# Route files
rg "express\.Router\(\)" --type js
Middleware & Auth:
# Authentication middleware
rg "app\.use\(.*auth" --type js
rg "passport\." --type js
rg "jwt\.|bearer" --type js
# Validation middleware
rg "express-validator|joi|yup" --type js
Example Analysis:
// Find: app.post('/api/users', authenticate, validateUser, createUser)
// Document:
// - Endpoint: POST /api/users
// - Auth: Required (authenticate middleware)
// - Validation: validateUser middleware
// - Handler: createUser
2. FastAPI / Flask (Python)
FastAPI Routes:
# Route decorators
rg "@app\.(get|post|put|delete|patch)" --type py
# Router instances
rg "@router\.(get|post|put|delete)" --type py
# Path parameters
rg "path: (str|int)" --type py
# Pydantic models (schemas)
rg "class.*\(BaseModel\)" --type py
Flask Routes:
# Route decorators
rg "@app\.route\(" --type py
rg "@blueprint\.route\(" --type py
# Methods
rg "methods=\[" --type py
Auth & Dependencies:
# Dependencies
rg "Depends\(" --type py
# Auth
rg "OAuth2PasswordBearer|HTTPBearer" --type py
rg "@login_required" --type py
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.
- yesterday First seen · 555 lines · 57 tokens per session scan A d96c8df16b94
api-analyzer is an agent published in the GitHub repository rubenCodeforges/codeforges-claude-plugin (2 stars, last pushed 9mo ago), licensed MIT. It adds 57 tokens to every session and 3,233 once invoked, about $0.0003 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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