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 Orizon-eu/claude-code-pentest --skill api-breakergit clone --depth 1 https://github.com/Orizon-eu/claude-code-pentestWrote 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/orizon-eu/claude-code-pentest/api-breaker)<a href="https://agentmods.dev/skills/orizon-eu/claude-code-pentest/api-breaker"><img src="https://agentmods.dev/badge/skills/orizon-eu/claude-code-pentest/api-breaker/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/orizon-eu/claude-code-pentest/api-breaker"><img src="https://agentmods.dev/badge/skills/orizon-eu/claude-code-pentest/api-breaker.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 | $0.00101 | $0.01531 |
| Opus 5.5 | $0.00040 | $0.00612 |
| Sonnet 5.5 | $0.00020 | $0.00306 |
| Haiku 4.5 | $0.00010 | $0.00153 |
Grade A, and why
api-breaker scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl command for reproduction How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
API Breaker
Intelligent API security testing. Discovers, maps, and exploits API vulnerabilities.
Important
CRITICAL: Only test APIs you have explicit authorization to test.
Instructions
Step 1: API Discovery
python scripts/api_discovery.py --domain {target_domain}
Discovery methods:
- Path fuzzing: /api/, /v1/, /v2/, /graphql, /rest/, /swagger.json, /openapi.json, /api-docs
- JavaScript analysis: Parse JS files for hardcoded API endpoints, base URLs, fetch/axios calls
- Wayback Machine: Historical API endpoints that may still be active
- Common patterns: /{resource}s, /{resource}/{id}, /{resource}/{id}/{subresource}
- GraphQL detection: /graphql, /graphiql, /playground, /api/graphql
- Documentation endpoints: Swagger, OpenAPI, WADL, WSDL
For each discovered API:
- Record base URL, authentication method, content type
- Detect API standard (REST, GraphQL, gRPC-web, SOAP)
Step 2: Schema Reconstruction
python scripts/schema_builder.py --api-base {api_url}
Even without documentation:
- Send requests with varying parameters and observe responses
- Analyze error messages for expected field names/types
- Use OPTIONS/HEAD to discover allowed methods
- Test content negotiation (JSON, XML, form-encoded)
- GraphQL: Send introspection query to get full schema
Output: Reconstructed API schema in OpenAPI format.
Step 3: Authentication Analysis
python scripts/auth_analyzer.py --api-base {api_url}
Detect and test:
- JWT tokens: Decode, test none algorithm, key confusion (RS256->HS256), weak secrets, claim tampering
- API keys: Test in different positions (header, query, body), check for key leakage
- OAuth flows: Test for open redirect in callback, token leakage, PKCE bypass
- Session tokens: Predictability, fixation, rotation on privilege change
- No auth: Endpoints accessible without any authentication
Step 4: Authorization Testing (BOLA/BFLA)
python scripts/authz_tester.py --schema {schema_file} --token {user_token}
What ships with it
8 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.
- scripts/api_discovery.py 12 KB runs code
- scripts/api_report.py 18 KB runs code
- scripts/auth_analyzer.py 17 KB runs code
- scripts/authz_tester.py 14 KB runs code
- scripts/logic_tester.py 20 KB runs code
- scripts/mass_assignment.py 15 KB runs code
- scripts/rate_limiter.py 15 KB runs code
- scripts/schema_builder.py 18 KB runs code
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.
- 1mo ago First seen · 185 lines · 101 tokens per session scan A 40a49f394ee0
api-breaker is a skill published in the GitHub repository Orizon-eu/claude-code-pentest (28 stars, last pushed 7mo ago), licensed MIT. It adds 101 tokens to every session and 1,531 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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