coding-standards
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.
security-bounty-hunter
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.
Full skill instructions
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:
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
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Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.
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