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SKILL verified Apache-2.0 Self-run

Researching Codebase

skill-qte77-claude-code-plugins-researching-codebase · by qte77

Investigates codebase before planning. Use before any non-trivial implementation task to gather context in isolation.

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Install

$ agentstack add skill-qte77-claude-code-plugins-researching-codebase

✓ 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 →

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Reliability & compatibility

Security review passed
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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

Codebase Research (ACE-FCA)

Query: $ARGUMENTS

Gathers codebase context in isolation before planning. Prevents search artifacts from polluting main context.

Core Principles

  1. Documentation-only - Describe what exists, where, and how it works
  2. No evaluations - Never suggest improvements or critique implementation
  3. Evidence-based - Provide file paths, line numbers, and code references
  4. Isolation - Research runs in fork context; return only distilled findings

When to Use

  • Before planning non-trivial implementations
  • When unfamiliar with relevant codebase areas
  • Before architectural decisions

Workflow

  1. Read mentioned files first - If specific files mentioned, read completely before exploring
  2. Decompose the question - Break query into researchable components
  3. Explore codebase - Investigate architecture, patterns, constraints
  4. Identify scope - Determine relevant areas based on findings
  5. Distill - Return structured summary using output format below

Output Format

Follow ACE-FCA quality equation: Correct + Complete + Minimal noise

---
research_query: ""
timestamp: ""
files_examined: 
---

## Key Files

| File | Purpose | Key Lines |
|------|---------|-----------|
| `path/to/file.ext` | Brief purpose | L42-58 |

## Patterns

- **Pattern name**: Description with file reference (`path:line`)

## Constraints

- Constraint with evidence (`path:line`)

Evidence Requirements

Every claim must include:

  • File path: Exact location (src/auth/login.ts)
  • Line numbers: Specific lines (L42-58 or L127)
  • Code reference: Function/class name when relevant

Bad: "Authentication uses JWT tokens" Good: "Authentication uses JWT tokens (src/auth/jwt.ts:L23-45, verifyToken function)"

References

See references/context-management.md and references/core-principles.md.

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.