skills/security-bounty-hunter/SKILL.md
Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.
npx skillsauth add affaan-m/everything-claude-code security-bounty-hunterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this when the goal is practical vulnerability discovery for responsible disclosure or bounty submission, not a broad best-practices review.
Bias toward remotely reachable, user-controlled attack paths and throw away patterns that platforms routinely reject as informative or out of scope.
These are the kinds of issues that consistently matter:
| Pattern | CWE | Typical impact | | --- | --- | --- | | SSRF through user-controlled URLs | CWE-918 | internal network access, cloud metadata theft | | Auth bypass in middleware or API guards | CWE-287 | unauthorized account or data access | | Remote deserialization or upload-to-RCE paths | CWE-502 | code execution | | SQL injection in reachable endpoints | CWE-89 | data exfiltration, auth bypass, data destruction | | Command injection in request handlers | CWE-78 | code execution | | Path traversal in file-serving paths | CWE-22 | arbitrary file read or write | | Auto-triggered XSS | CWE-79 | session theft, admin compromise |
These are usually low-signal or out of bounty scope unless the program says otherwise:
pickle.loads, torch.load, or equivalent with no remote patheval() or exec() in CLI-only toolingshell=True on fully hardcoded commandssemgrep --config=auto --severity=ERROR --severity=WARNING --json
Then manually filter:
## Description
[What the vulnerability is and why it matters]
## Vulnerable Code
[File path, line range, and a small snippet]
## Proof of Concept
[Minimal working request or script]
## Impact
[What the attacker can achieve]
## Affected Version
[Version, commit, or deployment target tested]
Before submitting:
data-ai
Run team-based orchestration for agent squads using work items, ownership, agent Kanban, merge gates, and control pane handoffs.
data-ai
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.
development
React component testing with React Testing Library, Vitest/Jest, MSW for network mocking, accessibility assertions with axe, and the decision boundary between component tests and Playwright/Cypress end-to-end runs. Use when writing or fixing tests for React components, hooks, or pages.
tools
React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle size, server-side, client fetching, re-render, rendering, JS micro-perf, advanced. Use when writing, reviewing, or refactoring React/Next.js code for performance.