macalbert/envilder/code-bug-investigation

Claude Code and agent skill by macalbert/envilder

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Investigate a reported defect, gather reproduction evidence, confirm root cause, and recommend a focused verification strategy without editing artifacts. Production defects require focused regression evidence; test-infrastructure defects start with consumer or direct-workflow evidence.

Install

npx vskill@latest install macalbert/envilder/code-bug-investigation

SKILL.md

Bug Investigation

Turn a bug report into a confirmed root-cause analysis and a ready-to-establish verification plan. This skill investigates; it does not fix code or edit verification.

Use common-verification-first as the governing policy. The intent is BUG_FIX; infrastructure, configuration, and test infrastructure do not create separate intents.

When to Use

  • A user or reviewer reports incorrect behavior.
  • A GitHub issue describes a defect.
  • A failing check suggests a regression.
  • A patch seems obvious but the root cause has not been demonstrated.

1. Build the Fastest Feedback Loop

  1. Restate observed behavior, expected behavior, trigger, and environment.
  2. Find the narrowest existing way to trigger the symptom: test selector, API

request, CLI command, build, validator, browser flow, or direct workflow.

  1. Reproduce before proposing a fix. If the defect cannot be reproduced, stop

and report the missing conditions or evidence.

  1. Use temporary read-only diagnostics when the failure is otherwise invisible.

Do not leave instrumentation or edit tracked artifacts during investigation.

Production Behavior

Find whether existing behavioral verification can reproduce the defect accurately. Recommend reusing or updating it when possible; otherwise recommend one focused regression at the lowest level that crosses the failing boundary. The Contract Verifier will establish and prove that regression before implementation.

Test Infrastructure

Start with a production-behavior consumer test or direct reproduction of the affected test workflow. Shared, public, reusable, or independently versioned support code does not justify direct tests.

Recommend the smallest focused test of a stable support contract only when consumer or workflow evidence cannot localize the fault precisely enough, and state the diagnostic precision gap.

2. Gather Evidence

From an issue, collect its title, description, reproduction steps, expected and actual results, environment, labels, and relevant recent comments. From a user report, resolve material ambiguity before continuing.

Capture command, input, output, and whether the evidence is repeatable. Separate:

  • confirmed observation;
  • inference supported by code or runtime evidence; and
  • unverified assumption.

3. Locate the Root Cause

  1. Identify the affected domain, application, adapter, SDK, UI, workflow, or

support layer.

  1. Read the execution path and stable external boundary.
  2. Inspect existing verification and explain why it missed the defect.
  3. Trace the exact condition and code path that produce the wrong result.
  4. Confirm the root cause with the reproduction; do not confuse it with the

symptom.

  1. Identify invariants and neighboring behavior that the fix must preserve.

4. Select the Proposed Verification Strategy

For production behavior, choose one focused regression plan:

  • reuse an existing behavioral test unchanged;
  • update an existing test whose expectation is wrong or incomplete; or
  • add one focused regression because the behavior is absent.

Do not keep contradictory expectations or add redundant tests. Choose the lowest level that proves the real defect without mocking away its cause:

Defect boundaryTypical level
Pure domain ruleUnit
Application decision with stable portsUnit or focused integration
File, HTTP, cloud provider, or external adapterIntegration
DI, command dispatch, or cross-layer wiringIntegration
CLI or GitHub Action contractIntegration or e2e
UI rendering or interactionComponent or browser test
Critical user journeyE2E

For test infrastructure, use consumer or direct-workflow evidence instead of this table unless the documented diagnostic exception applies.

Output

text
BugAnalysis
Observed behavior:
Expected behavior:
Trigger and environment:
Reproduction command and result:
Confirmed root cause:
Affected code and scope:
Preserved invariants:
Existing coverage and why it missed the defect:
Proposed strategy: reuse | update | add one focused regression | consumer/direct workflow
Proposed behavior and level:
Diagnostic precision gap: none | explanation
Assumptions and unresolved evidence:
Status: READY_TO_ESTABLISH_CONTRACT | NOT_REPRODUCED | BLOCKED

At an interactive checkpoint, present this analysis before implementation. Calling workflows may fold it into their single specification checkpoint.

Rules

  • One defect per investigation.
  • Never propose a production fix without confirmed reproduction evidence.
  • Never edit production, verification, documentation, configuration, or test

support.

  • Never claim a planned regression has failed until the Contract Verifier

actually runs it.

  • Never add direct support tests for coverage or methodology.
  • Surface inability to reproduce instead of guessing.

Security

  • Security scanPassed, 93 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
135
Repository forks
4
7-day trend score
25

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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