# Debug Evidence Kit

Reproduce a defect, test competing causes, apply a scoped correction and capture fresh before/after evidence. Compare identical commands, changed source and preserved regression tests in a portable interactive case. Original Skillrove workflow.

Canonical page: https://skillrove.dev/skills/debug-evidence-kit
Version: 1.0.0
Package price: USD 4.99 per individual package
Installation hosts: Codex, Claude Code, Cursor
Output: A reproducible fix and proof handoff

## What it does

- Capture a real reproduction command, bounded logs and watched source hashes.
- Compare competing causes and a narrow correction against the same regression checks.
- Deliver an interactive before/after case and a reproducible fix handoff.

Best suited to: Developers investigating a concrete local defect with a repeatable reproduction.

Scope limits: Proof covers the captured reproduction; adjacent behavior still needs review.

## Documented deliverables and requirements

- report/index.html
- report/case.json
- report/fix-handoff.md
- report/delivery-manifest.json
- private evidence/before.json + after.json

Runtime requirements: Python 3.10+ · local project checks

Working example: https://skillrove.dev/skillrove/samples/debug-evidence-kit/v1.0.0/index.html

Python 3.10+ standard library only. Demo modifies only a fresh copied fixture. For user projects, capture-check.py executes your explicitly supplied finite local command. Passing proof covers that reproduction; inspect the diff and run adjacent checks before release.

## Questions before installation

### How do I get Debug Evidence Kit?

The listed individual package price is USD 4.99. Premium downloads require a confirmed purchase or active membership. Your agent subscription, model access and external provider credits are separate.

- [Compare access and pricing](https://skillrove.dev/pricing)

### Which agents can use this skill?

This release lists Codex, Claude Code, Cursor as intended installation hosts. Check the package’s dependencies and permissions before running it. These labels do not certify that every workflow has been tested in every agent.

- [Codex setup](https://skillrove.dev/skills/agent/codex)
- [Claude Code setup](https://skillrove.dev/skills/agent/claude-code)
- [Cursor setup](https://skillrove.dev/skills/agent/cursor)

### What files can this workflow generate?

The documented 1.0.0 workflow lists: report/index.html; report/case.json; report/fix-handoff.md; report/delivery-manifest.json; private evidence/before.json + after.json. Some files or exports are optional; follow the package’s setup and inspect the delivered result.

- [Review all deliverables](https://skillrove.dev/skills/debug-evidence-kit#skill-what-you-get)
- [Inspect the working example](https://skillrove.dev/skillrove/samples/debug-evidence-kit/v1.0.0/index.html)

### What should I check before using the result?

Python 3.10+ standard library only. Demo modifies only a fresh copied fixture. For user projects, capture-check.py executes your explicitly supplied finite local command. Passing proof covers that reproduction; inspect the diff and run adjacent checks before release.

- [Read the installation guide](https://skillrove.dev/guides/how-to-install-a-claude-skill)
- [Review third-party notices](https://skillrove.dev/third-party-notices)

## Source and access

These facts come from the public Skillrove catalog and the documented active release. Agent labels describe intended installation hosts, not certification across every model. Package licenses apply; model accounts, provider credits and credentials are separate. Public facts do not grant download access.

[Installation guide](https://skillrove.dev/install/agent.md) · [Support](https://skillrove.dev/contact)