Agent skill

Dr Reproduce

by AHepi in AHepi/DeepReason

Demonstrate a diagnosed DeepReason cause with the smallest offline artifact — a failing test or a minimal script against the committed record.

MITAuto-check passedTesting & QA

Install Dr Reproduce

skills CLI
$ npx skills add AHepi/DeepReason --skill dr-reproduce -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AHepi/DeepReason dr-reproduce --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AHepi/DeepReason.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/dr-reproduce .claude/skills/dr-reproduce && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dr-reproduce
GitHub stars
141
Token cost
~719 tokens
SKILL.md length
361 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
MIT

At a glance

Demonstrate a diagnosed DeepReason cause with the smallest offline artifact — a failing test or a minimal script against the committed record.

  • Works in 3 steps: Record replay — the defect is already… → Offline unit reproduction — construct… → Minimal in-memory check — a 20-line…
  • Tasks that involve Failing and flaky tests
  • SKILL.md covers Choose the cheapest sufficient…, Fidelity rules, REPRO.md template and Exit criteria
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dr Reproduce is an agent skill from AHepi/DeepReason. Demonstrate a diagnosed DeepReason cause with the smallest offline artifact — a failing test or a minimal script against the committed record. Use after DIAGNOSIS.md, before any fix.

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering Failing and flaky tests. The licence is MIT.

When your agent uses it

  • Tasks that involve Failing and flaky tests

Example prompts

  • “/dr-reproduce”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Record replay — the defect is already capted in a committed run
  2. Offline unit reproduction — construct the minimal state in a
  3. Minimal in-memory check — a 20-line python3 heredoc proving the

What it can do on your machine

Read from SKILL.md and the folder at commit 9607fba. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dr Reproduce loads about 719 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 361 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~719

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from AHepi/DeepReason at commit 9607fba, republished under its MIT licence (© AHepi). 361 words, ~719 tokens.

Download SKILL.mdSave it as .claude/skills/dr-reproduce/SKILL.md (or your agent's skills folder).
name
dr-reproduce
description
Demonstrate a diagnosed DeepReason cause with the smallest offline artifact — a failing test or a minimal script against the committed record. Use after DIAGNOSIS.md, before any fix.

Reproduce the cause

Input: DIAGNOSIS.md's falsifiable prediction. Output: REPRO.md plus one runnable artifact that shows the defect NOW (and will show its absence after the fix). You still change no production code.

Choose the cheapest sufficient form, in this order

  1. Record replay — the defect is already capted in a committed run root: a script that runs verify_root(<root>) or walks the log and prints the violating fact. Zero live cost; deterministic.
  2. Offline unit reproduction — construct the minimal state in a test: register the same problems/artifacts/policies the record shows and assert the wrong behavior happens. Reuse existing test helpers (_prepare_run, controller fixtures, _policy builders) from the nearest tests/test_*.py; do not invent new scaffolding when a helper exists.
  3. Minimal in-memory check — a 20-line python3 heredoc proving the mechanism (e.g. round-trip a receipt through canonical_json and show key order changes). Acceptable as evidence, but pair it with form 1 or 2 for the regression artifact.

NEVER reproduce by launching a live provider run. Live runs are for dr-verify-outcome, at most once, and only if the goal demands it.

Fidelity rules

  • The reproduction must mirror the live conditions the record shows, not a convenient simplification. If admission auto-accepted import-role artifacts before cycle 0, your fixture registers those artifacts too. A reproduction that passes for a different reason than the live failure will approve a wrong fix.
  • One assertion states the DEFECT (currently failing or currently printing the violation), phrased so it inverts cleanly post-fix.
  • Respect frozen-record invariants in fixtures: one manifest sha per capability chain, constant fence seqs within a proposal's chain — fixture WellFormednessError means your fixture is wrong, not the harness.

REPRO.md template

# Reproduction
Form: record-replay | unit-test | in-memory
Artifact: <path (test id) or inline command>
Current output: <paste the failing/violating output, trimmed>
Confirms diagnosis: yes — <one line linking output to mechanism>
Post-fix expectation: <exact output/assertion after a correct fix>

If the reproduction REFUTES the diagnosis: write that in REPRO.md, commit, and return to the orchestrator routing back to dr-diagnose. A refuted diagnosis is a successful phase, not a failure.

Exit criteria

  • REPRO.md + artifact committed and pushed.
  • The artifact demonstrably shows the defect today (output pasted).
  • Production code untouched.
  • Return to the orchestrator.

© AHepi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/dr-reproduce of AHepi/DeepReason.

Open the folder on GitHubat commit 9607fba

Compare with similar skills

Dr Reproduce next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dr Reproduce compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dr Reproduce this skillAHepi/DeepReason141—~719Automated safety check: PassMIT
Swig Testswig/swig6.3k—~2.3kAutomated safety check: PassCustom licence
Triage CI FailureDataDog/datadog-agent3.8k—~2.3kAutomated safety check: PassApache-2.0
Dynamo Jira TicketDynamoDS/Dynamo2k—~1.1kAutomated safety check: PassApache-2.0
Fix Ready PRsfastrepl/anarlog9.5k—~1.4kAutomated safety check: PassMIT
Trx Analysismicrosoft/vstest969—~1.8kAutomated safety check: PassMIT

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Categories

Questions about Dr Reproduce

What does Dr Reproduce do?

Demonstrate a diagnosed DeepReason cause with the smallest offline artifact — a failing test or a minimal script against the committed record. Dr Reproduce is an agent skill from AHepi/DeepReason. Demonstrate a diagnosed DeepReason cause with the smallest offline artifact — a failing test or a minimal script against the committed record.

When should I use Dr Reproduce?

Dr Reproduce fits situations like: tasks that involve Failing and flaky tests.

How do I install Dr Reproduce in Claude Code?

Run `npx skills add AHepi/DeepReason --skill dr-reproduce -a claude-code`. Or copy the skill folder (.claude/skills/dr-reproduce in AHepi/DeepReason) into .claude/skills/dr-reproduce in your project. Claude Code loads it when a task matches its description.

How do I install Dr Reproduce in Codex?

Run `npx skills add AHepi/DeepReason --skill dr-reproduce -a codex`. Or copy the skill folder (.claude/skills/dr-reproduce in AHepi/DeepReason) into .agents/skills/dr-reproduce in your project. Codex loads it when a task matches its description.

Can I use Dr Reproduce in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AHepi/DeepReason --skill dr-reproduce -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dr-reproduce, .gemini/skills/dr-reproduce, .github/skills/dr-reproduce and .opencode/skills/dr-reproduce in your project.

What does Dr Reproduce need to run?

SKILL.md names no scripts, command-line tools or credentials: Dr Reproduce is instructions for the agent only. Our summary lists: Python 3.

Does Dr Reproduce access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dr Reproduce safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dr Reproduce use?

Dr Reproduce is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dr Reproduce use?

About 719 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dr Reproduce?

Skills that share tags, products or a category with Dr Reproduce: Swig Test (swig/swig, 6.3k stars), Triage CI Failure (DataDog/datadog-agent, 3.8k stars), Dynamo Jira Ticket (DynamoDS/Dynamo, 2k stars) and Fix Ready PRs (fastrepl/anarlog, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dr Reproduce?

AHepi (a GitHub user) maintains it in AHepi/DeepReason, which has 141 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on September 10, 2026.

Source: AHepi/DeepReason on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.