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Api pentest

Skill yuelenghan/orbit/skills/api-pentest

An open-source arsenal of reusable skills for AI agents — repo understanding, code review, delivery workflows, security pentests, and plug-and-play integrations with Jira, GitHub, GitLab, Jenkins & more. Drop into Claude Code, Codex, or any skill-aware host.

Install
npx -y skills add yuelenghan/orbit --skill api-pentest

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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What its author says it does

Copied from the file, not written here

Adapted public skill for authorized API and web application security testing across REST, GraphQL, and gRPC interfaces.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.5 KB, as published. Nobody here has run it

API Penetration Testing

Adapted from Anthropic-Cybersecurity-Skills/skills/conducting-api-security-testing/SKILL.md for Orbit.

Use this skill for authorized API and web application security testing, especially when the target involves REST, GraphQL, gRPC, authentication flows, authorization testing, IDOR, rate limiting, input validation, or business logic abuse.

When to Use

  • REST API security testing
  • GraphQL security assessment
  • gRPC security testing
  • authorization and authentication testing
  • API business logic and data exposure review

Inputs

  • confirmed authorization context
  • target boundary
  • target-specific endpoint, host range, or cloud scope

Safety Boundary

Do not use this skill without explicit authorization from the target owner. Do not use it for destructive denial-of-service activity or malicious exploitation outside an approved testing scope.

Focus Areas

  • broken object and function-level authorization
  • authentication and token handling
  • input validation and injection paths
  • rate limiting and abuse controls
  • excessive data exposure
  • business logic flaws

Output Expectations

Provide:

  • tested scope
  • findings and severity
  • proof-of-concept or reproduction steps
  • remediation guidance

Keep looking

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