ML Training Recipes
Orchestra-Research/AI-Research-SKILLs
PyTorch training reference: architecture choice by data type, scaling rules, a training loop, optimizer and learning-rate choices, and fixes for loss spikes or OOM.
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories.
Install Explore Code
$ npx skills add lllllllama/RigorPilot-Skills --skill explore-code -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lllllllama/RigorPilot-Skills explore-code --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lllllllama/RigorPilot-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/explore-code .claude/skills/explore-code && rm -rf skills-srcUse ~/.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/
Install the "explore-code" agent skill from https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/explore-code into .claude/skills/explore-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explore-code", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/explore-codeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lllllllama/RigorPilot-Skills --skill explore-code -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lllllllama/RigorPilot-Skills explore-code --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lllllllama/RigorPilot-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/explore-code .agents/skills/explore-code && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "explore-code" agent skill from https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/explore-code into .agents/skills/explore-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explore-code", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lllllllama/RigorPilot-Skills --skill explore-code -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lllllllama/RigorPilot-Skills explore-code --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lllllllama/RigorPilot-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/explore-code .cursor/skills/explore-code && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "explore-code" agent skill from https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/explore-code into .cursor/skills/explore-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explore-code", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lllllllama/RigorPilot-Skills.git --path skills/explore-code--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lllllllama/RigorPilot-Skills --skill explore-code -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lllllllama/RigorPilot-Skills explore-code --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lllllllama/RigorPilot-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/explore-code .gemini/skills/explore-code && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "explore-code" agent skill from https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/explore-code into .gemini/skills/explore-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explore-code", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lllllllama/RigorPilot-Skills explore-codeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lllllllama/RigorPilot-Skills --skill explore-code -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lllllllama/RigorPilot-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/explore-code .github/skills/explore-code && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "explore-code" agent skill from https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/explore-code into .github/skills/explore-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explore-code", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lllllllama/RigorPilot-Skills --skill explore-code -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lllllllama/RigorPilot-Skills explore-code --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lllllllama/RigorPilot-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/explore-code .opencode/skills/explore-code && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "explore-code" agent skill from https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/explore-code into .opencode/skills/explore-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explore-code", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
explore-code- GitHub stars
- 497
- Used in
- 1 other repo
- Token cost
- ~648 tokens
- SKILL.md length
- 214 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories.
- The researcher explicitly authorizes exploratory work on an isolated branch
- SKILL.md covers When to apply, When not to apply, Clear boundaries and Output expectations, plus 1 more section
- Runs Python scripts from its folder
- Worktree to transplant modules
What it does
Explore Code is an agent skill from lllllllama/RigorPilot-Skills. Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in exploreoutputs/. Do not use for end-to-end exploration orchestration on top of currentresearch, trusted baseline reproduction…
Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/explore-policy.md` and `scripts/plan_code_changes.py`).
It sits in AI & LLM Engineering, covering Deep learning, Fine-tuning and Git worktrees. The repository describes itself as: README-first research reproduction skills with bounded execution, auditable evidence, and byte-preserving README annotations. The licence is MIT.
When your agent uses it
- The researcher explicitly authorizes exploratory work on an isolated branch
- Worktree to transplant modules
- Adapt a backbone
- Stitch together meaningful low-risk migration ideas with rollback-aware records in exploreoutputs/
Example prompts
- “/explore-code”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit fb3ccdf. 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
Ships 2 files in scripts/ (Python), which the agent can run.
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
Explore Code loads about 648 tokens when it runs, and up to ~811 if it reads all its reference files. Until then it costs about 159 tokens; SKILL.md has 214 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from lllllllama/RigorPilot-Skills at commit fb3ccdf, republished under its MIT licence (© lllllllama). 214 words, ~648 tokens.
Download SKILL.mdSave it as
.claude/skills/explore-code/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- explore-code
- description
- Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
explore-code
Use this as the Rigor Improve implementation leaf skill. The installed slug
remains explore-code for compatibility.
Use the shared operating principles in
../ai-research-reproduction/references/agent-operating-principles.md; this skill should guide
bounded candidate code work without over-prescribing implementation details.
When to apply
- When the researcher explicitly authorizes exploratory code changes on an isolated branch or worktree.
- When the task is source-anchored module transplant, backbone adaptation, LoRA or adapter insertion, or low-risk module combination.
- When summary-level recording is sufficient and the result is a candidate, not a trusted conclusion.
When not to apply
- When the request is for trusted baseline work, conservative debugging, or normal training execution.
- When the user did not explicitly authorize exploratory modifications.
- When the task is a broad refactor or a from-scratch idea implementation.
Clear boundaries
- This skill owns exploratory code modifications only.
- It must keep work isolated from the trusted baseline.
- Use
ai-research-exploreinstead when the task spans both current_research coordination and exploratory runs. - It may hand off execution to
minimal-run-and-auditorrun-train. - It should favor source-anchored copying and minimal adaptation over freeform rewrites.
- It should record why a candidate change is meaningful, how to roll it back, and why it remains a candidate rather than a verified contribution.
Output expectations
explore_outputs/CHANGESET.mdexplore_outputs/SCIENTIFIC_CHANGELOG.mdexplore_outputs/COMPARABILITY_REPORT.mdexplore_outputs/TOP_RUNS.mdexplore_outputs/status.json
Notes
Use references/explore-policy.md, ../ai-research-reproduction/references/research-rigor-principles.md, scripts/plan_code_changes.py, and scripts/write_outputs.py.
© lllllllama, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in skills/explore-code of lllllllama/RigorPilot-Skills.
- SKILL.md
- agents/openai.yaml
- references/explore-policy.md
- scripts/plan_code_changes.py
- scripts/write_outputs.py
Open the folder on GitHubat commit fb3ccdf
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in lllllllama/RigorPilot-Skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Explore Code 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Explore Code this skilllllllllama/RigorPilot-Skills | 497 | 1 repos | ~648 | Automated safety check: Pass | MIT | |
| ML Training RecipesOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~2.8k | Automated safety check: Pass | MIT | |
| OpenVLA-OFT Fine-TuningOrchestra-Research/AI-Research-SKILLs | 13k | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| OpenPI Fine-Tuning and ServingOrchestra-Research/AI-Research-SKILLs | 13k | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Alphagenome Finetuninggenomicsxai/alphagenome-pytorch | 162 | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Quaxnstarman/quax | 143 | — | ~5.5k | Automated safety check: Pass | Apache-2.0 |
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More from lllllllama/RigorPilot-Skills
All 11 skills in this repoAI Research Reproduction
lllllllama/RigorPilot-Skills
Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction.
Explore Run
lllllllama/RigorPilot-Skills
Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories.
Minimal Run And Audit
lllllllama/RigorPilot-Skills
Rigor Run skill for README-first deep learning repo reproduction.
Run Train
lllllllama/RigorPilot-Skills
Rigor Train skill for deep learning research repositories. An agent skill from lllllllama/RigorPilot-Skills.
AI Research Explore
lllllllama/RigorPilot-Skills
Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates.
Analyze Project
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Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories.
Related
Categories
Questions about Explore Code
What does Explore Code do?
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Explore Code is an agent skill from lllllllama/RigorPilot-Skills. Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories.
When should I use Explore Code?
Explore Code fits situations like: the researcher explicitly authorizes exploratory work on an isolated branch; worktree to transplant modules; adapt a backbone; stitch together meaningful low-risk migration ideas with rollback-aware records in exploreoutputs/.
How do I install Explore Code in Claude Code?
Run `npx skills add lllllllama/RigorPilot-Skills --skill explore-code -a claude-code`. Or copy the skill folder (skills/explore-code in lllllllama/RigorPilot-Skills) into .claude/skills/explore-code in your project. Claude Code loads it when a task matches its description.
How do I install Explore Code in Codex?
Run `npx skills add lllllllama/RigorPilot-Skills --skill explore-code -a codex`. Or copy the skill folder (skills/explore-code in lllllllama/RigorPilot-Skills) into .agents/skills/explore-code in your project. Codex loads it when a task matches its description.
Can I use Explore Code 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 lllllllama/RigorPilot-Skills --skill explore-code -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/explore-code, .gemini/skills/explore-code, .github/skills/explore-code and .opencode/skills/explore-code in your project.
What does Explore Code need to run?
Going by SKILL.md and its folder, Explore Code needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Explore Code 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 Explore Code 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Explore Code use?
Explore Code 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 Explore Code use?
About 648 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 163 tokens, read only when the agent opens those files.
What are the alternatives to Explore Code?
Skills that share tags, products or a category with Explore Code: ML Training Recipes (Orchestra-Research/AI-Research-SKILLs, 13k stars), OpenVLA-OFT Fine-Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars), OpenPI Fine-Tuning and Serving (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Alphagenome Finetuning (genomicsxai/alphagenome-pytorch, 162 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Explore Code?
lllllllama (a GitHub user) maintains it in lllllllama/RigorPilot-Skills, which has 497 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 23, 2026.
Source: lllllllama/RigorPilot-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.