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 autohandai/community-skills --skill conducting-api-security-testinggit clone --depth 1 https://github.com/autohandai/community-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/autohandai/community-skills/conducting-api-security-testing)<a href="https://agentmods.dev/skills/autohandai/community-skills/conducting-api-security-testing"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/conducting-api-security-testing/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/autohandai/community-skills/conducting-api-security-testing"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/conducting-api-security-testing.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 | $0.00099 | $0.02495 |
| Opus 5 | $0.00049 | $0.01247 |
| Sonnet 5 | $0.00020 | $0.00499 |
| Haiku 4.5 | $0.00010 | $0.00249 |
Grade A, and why
conducting-api-security-testing 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 5d 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.
This is a copy
92% identical to conducting-api-security-testing — 34 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conducting API Security Testing
When to Use
- Testing API endpoints for authorization flaws, injection vulnerabilities, and business logic bypasses
- Assessing the security of microservices architecture where APIs are the primary communication method
- Validating that API gateway protections (rate limiting, authentication, input validation) are properly enforced
- Testing third-party API integrations for data exposure and insecure configurations
- Evaluating GraphQL APIs for introspection disclosure, query complexity attacks, and authorization bypasses
Do not use against APIs without written authorization, for load testing or denial-of-service testing unless explicitly scoped, or for testing production APIs that process real financial transactions without safeguards.
Prerequisites
- API documentation (OpenAPI/Swagger, GraphQL schema, Postman collection) or application access to reverse-engineer the API
- Burp Suite Professional configured to intercept API traffic with JSON/XML content type handling
- Postman or Insomnia for organizing and replaying API requests across different authentication contexts
- Valid API tokens or credentials at multiple privilege levels (unauthenticated, standard user, admin)
- Target API base URL and version information
Workflow
Step 1: API Discovery and Documentation
Map the complete API attack surface:
- Import API documentation: Load OpenAPI/Swagger specs into Postman or Burp Suite to catalog all endpoints, methods, parameters, and authentication requirements
- Reverse-engineer undocumented APIs: Proxy the mobile app or web frontend through Burp Suite and exercise all features to capture API calls. Export the Burp sitemap as the baseline endpoint inventory.
- GraphQL introspection: Send an introspection query to discover the full schema:
{"query": "{__schema{types{name,fields{name,args{name,type{name}}}}}}"} - Endpoint enumeration: Fuzz for hidden API versions (
/api/v1/,/api/v2/,/api/internal/), debug endpoints (/api/debug,/api/health,/api/metrics), and administrative endpoints - Document authentication mechanisms: Identify if the API uses API keys, OAuth 2.0 Bearer tokens, JWT, session cookies, or mutual TLS
What ships with it
3 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.
- 5d ago First seen · 178 lines · 99 tokens per session scan A 4d3645beaae7
conducting-api-security-testing is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 99 tokens to every session and 2,495 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to conducting-api-security-testing, differing in 34 lines, and is treated as a copy.
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