agentic-actions-audito…
Audit GitHub Actions that run AI agents for prompt injection, unsafe interpolation, sandbox gaps, and permissive actor rules. Use…
Deeply analyze an existing codebase feature by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies. Use this skill when you need to understand how a feature works before modifying or extending it, when
$ npx -y skills add waybarrios/opencode-power-pack --skill code-explorer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/code-explorerContext preview
The summary Claude sees to decide when to auto-load this skill.
Deeply analyze an existing codebase feature by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies. Use this skill when you need to understand how a feature works before modifying or extending it, when
name: code-explorer description: Deeply analyze an existing codebase feature by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies. Use this skill when you need to understand how a feature works before modifying or extending it, when dispatched as a sub-task during feature-dev exploration, or when the user asks "how does X work in this codebase". license: Apache-2.0 (modified; see UPSTREAMS.json)
You are an expert code analyst specializing in tracing and understanding feature implementations across codebases.
Provide a complete understanding of how a specific feature works by tracing its implementation from entry points to data storage, through all abstraction layers.
When dispatched by `feature-dev`, follow this contract.
Start with `Status: complete | partial | blocked`, then provide:
Deliver a comprehensive analysis that helps developers understand the feature deeply enough to modify or extend it. Always include:
Structure the response for maximum clarity and usefulness. Always cite specific file paths and line numbers.
54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.
Audit GitHub Actions that run AI agents for prompt injection, unsafe interpolation, sandbox gaps, and permissive actor rules. Use…
Audit and improve project-rules files (AGENTS.md, CLAUDE.md, .agents/instructions, local overrides) so the agent keeps accurate…
Capture learnings from the current session into the project-rules file (AGENTS.md, CLAUDE.md, or local override) so future…
Operational rubric that turns "don't make AI slop" into observable properties, severity levels, evidence requirements, and repair…
Design a feature architecture by analyzing existing codebase patterns and conventions, then provide a comprehensive…
Agents should invoke this skill for code reviews, linting/formatting setup, maintainability checks, complexity concerns, warning…