Skills lllllllama/rigorpilot-skills
RigorPilot Bundle · 5 skills
- Use it when
- you want an agent to run a deep learning research repo from its README and record honestly what worked
- It does
- finds the smallest documented run, such as one evaluation command, sets it up, runs it and audits the result, instead of a full training run
- You get
- a repro_outputs/ folder: a verdict (verified, partial or blocked), the exact commands, logs, patches, and any change to data, evaluation or metrics
- Main skill
- ai-research-reproduction runs the steps. It isn't one of the five listed, but the bundle's install command adds it, and two of the five need it
- Also has
- ai-research-explore, a separate lane for trying new research ideas, whose results are never reported as reproduced
TLDR
The repo's main skill, ai-research-reproduction, runs a reproduction end to end. It isn't listed among these five, but the bundle's install command adds it with them. The five are its steps, and each can also be called on its own. repo-intake-and-plan reads the README and project files, sorts the documented commands into inference, evaluation and training, and picks the smallest one worth trusting. paper-context-resolver steps in only when the README leaves out a detail that matters, such as which dataset split to evaluate on, and looks it up in the paper, noting any conflict. env-and-assets-bootstrap drafts conda commands and where checkpoints and datasets should go, before anything runs. minimal-run-and-audit runs the chosen command and writes the evidence to repro_outputs/, including any patch and any change to data, evaluation or metrics; its scripts need the main skill. ai-research-explore, which needs it too, is a separate lane: only when you ask, and starting from a model or run you already have, it ranks and tries new research ideas, writes them to explore_outputs/, and never reports them as reproduced results.
Summarizes the repo at fb3ccdf.
Any agent, with the skills CLI
npx skills add https://github.com/lllllllama/rigorpilot-skills --skill '*'Source on GitHub · All skills from lllllllama/rigorpilot-skills
- Installs
- 450,930 of paper-context-resolver, its most installed skill, on skills.sh, Sep 21, 2026
- Repo stars
- 492 lllllllama/rigorpilot-skills
- First seen
- Mar 30, 2026 on skills.sh, its first skill
Its skills, in the order they're used
The ones marked “Only in the bundle” need the rest of it, so they're only listed here. The others also have their own entry in the skills list.
-
repo-intake-and-plan
450K installsMaps a deep-learning repo and plans a README-first reproduction.
-
paper-context-resolver
451K installsFills the gaps a README leaves when reproducing a deep-learning paper's repo.
-
env-and-assets-bootstrap
450K installsPrepares a conda environment, datasets and checkpoints for a reproduction.
-
Runs a minimal reproduction and records the evidence.
Its run and report scripts load a shared runtime that ships inside ai-research-reproduction, the repo's main skill, and stop with an error without it.
-
Explores novel research candidates on top of a reproduced baseline.
Loads its required research loop and shared runtime from ai-research-reproduction, the repo's main skill, and hands code changes and trial runs to the repo's explore-code and explore-run skills.