ai-paper-reproduction
README-first orchestrator for minimal, auditable AI paper repository reproduction.
What it does
- The user wants the agent to reproduce an AI paper repository.
- The target is a code repository with a README, scripts, configs, or documented commands.
- The goal is a minimal trustworthy run, not unlimited experimentation.
- The user needs standardized outputs that another human or model can audit quickly.
- The task spans more than one stage, such as intake plus setup, or setup plus execution plus reporting.
- The task is a general literature review or paper summary.
- The task is to design a new model, benchmark suite, or training pipeline from scratch.
Requirements & configuration
- The user needs standardized outputs that another human or model can audit quickly.
- 5. Call analyze-project only when repo structure, insertion points, or suspicious implementation patterns need a read-only pass before continuing.
- 11. Never auto-route into explore-code or explore-run; exploration requires explicit user authorization.
Configuration: SUMMARYCOMMANDSPATCHES
Derived from the skill's own SKILL.md documentation · extracted 2026-07-23
README-first orchestrator for minimal, auditable AI paper repository reproduction.
Source
Repository: https://github.com/lllllllama/ai-paper-reproduction-skill
ai-paper-reproduction FAQ
What does the ai-paper-reproduction skill do?
Main orchestrator for README-first AI repo reproduction. Use when the user wants an end-to-end, minimal-trustworthy reproduction flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, or broad research assistance outside repository-grounded reproduction. The user wants the agent to reproduce an AI paper repository. The target is a code repository with a README, scripts, configs, or documented commands.
What does ai-paper-reproduction require?
The user needs standardized outputs that another human or model can audit quickly. 5. Call analyze-project only when repo structure, insertion points, or suspicious implementation patterns need a read-only pass before continuing. 11. Never auto-route into explore-code or explore-run; exploration requires explicit user authorization. Configuration keys: SUMMARY, COMMANDS, PATCHES.
How do I install ai-paper-reproduction?
Run: npx -y skills add https://github.com/lllllllama/ai-paper-reproduction-skill --skill ai-paper-reproduction --agent claude-code — the source lives at github.com/lllllllama/ai-paper-reproduction-skill.
Maintain ai-paper-reproduction?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[](https://getagentictools.com/skills/lllllllama-ai-paper-reproduction-skill-ai-paper-reproduction?ref=badge) npx agentictools info skills/lllllllama-ai-paper-reproduction-skill-ai-paper-reproduction The second line is the CLI lookup for this page — handy in READMEs and docs.