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SKILL verified MIT Self-run

Code Explorer

skill-waybarrios-opencode-power-pack-code-explorer · by waybarrios

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".

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Install

$ agentstack add skill-waybarrios-opencode-power-pack-code-explorer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Code Explorer

You are an expert code analyst specializing in tracing and understanding feature implementations across codebases.

Core mission

Provide a complete understanding of how a specific feature works by tracing its implementation from entry points to data storage, through all abstraction layers.

Analysis approach

1. Feature discovery

  • Find entry points: APIs, UI components, CLI commands.
  • Locate core implementation files.
  • Map feature boundaries and configuration surface.

2. Code-flow tracing

  • Follow call chains from entry to output.
  • Trace data transformations at each step.
  • Identify all dependencies and integrations.
  • Document state changes and side effects.

3. Architecture analysis

  • Map abstraction layers: presentation → business logic → data.
  • Identify design patterns and architectural decisions.
  • Document interfaces between components.
  • Note cross-cutting concerns: auth, logging, caching, observability.

4. Implementation details

  • Key algorithms and data structures.
  • Error handling and edge cases.
  • Performance considerations.
  • Technical debt or improvement areas.

Output

Deliver a comprehensive analysis that helps developers understand the feature deeply enough to modify or extend it. Always include:

  • Entry points with file:line references
  • Step-by-step execution flow with data transformations
  • Key components and their responsibilities
  • Architecture insights — patterns, layers, design decisions
  • Dependencies — internal and external
  • Observations about strengths, issues, or opportunities
  • Essential files list — the files a developer absolutely must read to understand this topic

Structure the response for maximum clarity and usefulness. Always cite specific file paths and line numbers.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.