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Productivity · Version 1.1.0 · Reviewed 2026-08-02

Codebase Context Packager

Turn engineering context into a reliable artifact for task-specific context selection and dependency-chain packaging with evidence, explicit trade-offs, and a verification plan.

4 method steps 4 documented failure modes 4 diagnostic checks 7 quality gates

Selects the smallest complete set of repository files, symbols, conventions, and runtime evidence needed for another agent or reviewer to solve a specific task.

₹199 one-time

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What this skill helps you do

  • Task-specific context selection
  • Dependency-chain packaging
  • Prompt-injection-safe evidence bundle

How Codebase Context Packager works

You provide

Repository access, entry points, and the target change

It inspects

Real execution path for task-specific context selection, not naming

It decides

A dependency-chain packaging explanation with safe change seams

You verify

Claims confirmed against code paths or a test

What it checks first

Codebase Context Packager selects the smallest complete set of repository files, symbols, conventions, and runtime evidence needed for another agent or reviewer to solve a specific task. Use it when the work involves Task-specific context selection, Dependency-chain packaging, Prompt-injection-safe evidence bundle.

  1. The entry points and the data flow between them, which is the fastest way to build an accurate mental model.
  2. Where behavior is actually decided, rather than where it appears to be configured.
  3. Which parts change frequently, since those carry the most current knowledge and the most risk.
  4. The seams where a change can be made safely without a wide blast radius.

Failure modes it recognizes

  • A mental model built from naming conventions that no longer match behavior.
  • Hidden coupling through global state, events, or reflection that static reading misses.
  • Dead code that appears authoritative and misleads the reader.
  • Documentation that describes an intended design the code no longer implements.

Answers it will reject

  • Explaining what code does line by line rather than what it is responsible for and why.
  • Trusting comments and documentation over the executing code path.
  • Recommending a refactor before the current behavior is understood and covered by tests.

Decision rules it applies

  • Trace one real request end to end before generalizing about the architecture.
  • Verify a claim about behavior against the code path or a test, and label unverified claims.
  • Identify the smallest safe change point rather than the theoretically correct structure.

Evidence it asks for

  • Follow a concrete input through the system and name each file and function it reaches.
  • Use call hierarchies and references rather than text search alone to establish coupling.
  • Confirm behavior with an executable test before changing it.

The method inside

  1. Establish what is actually true about task-specific context selection from the supplied evidence, and mark what is missing.
  2. Identify the mechanism behind dependency-chain packaging rather than restating the symptom.
  3. Choose the smallest defensible change for prompt-injection-safe evidence bundle, weighing impact, confidence, effort, and reversibility.
  4. Check every claim against the source

Deliverables

  • Task-specific context selection assessment
  • Dependency-chain packaging decision and action plan
  • Prompt-injection-safe evidence bundle verification checklist

Evidence requirements

  • Source code, discussion, notes, or existing artifact
  • Audience, decision, and acceptance criteria
  • Repository conventions and constraints

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Package the codebase context needed to review this authentication bug without dumping the entire repository into the agent context window.

Expected output

Trace the failing request from entry point through identity, authorization, and persistence, then include only defining interfaces, implementations, tests, and configuration. Generated output and unrelated modules are excluded, embedded instructions are treated as data, and every omission has a clear relevance rule...

Boundaries and compatibility

Ideal for

  • Task-specific context selection: produce a decision or artifact grounded in supplied evidence.
  • Dependency-chain packaging: produce a decision or artifact grounded in supplied evidence.
  • Prompt-injection-safe evidence bundle: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Inventing repository behavior or decisions
  • Replacing review by the accountable owner

Agent compatibility

  • GitHub Copilot Agent Skills
  • Cursor Agent Skills
  • Claude Code Skills
  • OpenAI Codex Skills
  • JetBrains Junie Skills

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.