A skill your agent uses when downloading repositories, preparing datasets, checking licenses, creating environments, running smoke tests, or preparing reproducible research code.
$ npx skills add BingHanOfUESTC/open_agent_team --skill reproducible-code-data-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BingHanOfUESTC/open_agent_team reproducible-code-data-setup --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/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/teams/auto_research_team/skills/reproducible-code-data-setup .claude/skills/reproducible-code-data-setup && 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 "reproducible-code-data-setup" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/reproducible-code-data-setup into .claude/skills/reproducible-code-data-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reproducible-code-data-setup", 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/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/reproducible-code-data-setupType 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 BingHanOfUESTC/open_agent_team --skill reproducible-code-data-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BingHanOfUESTC/open_agent_team reproducible-code-data-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/teams/auto_research_team/skills/reproducible-code-data-setup .agents/skills/reproducible-code-data-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "reproducible-code-data-setup" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/reproducible-code-data-setup into .agents/skills/reproducible-code-data-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reproducible-code-data-setup", 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 BingHanOfUESTC/open_agent_team --skill reproducible-code-data-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BingHanOfUESTC/open_agent_team reproducible-code-data-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/teams/auto_research_team/skills/reproducible-code-data-setup .cursor/skills/reproducible-code-data-setup && 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 "reproducible-code-data-setup" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/reproducible-code-data-setup into .cursor/skills/reproducible-code-data-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reproducible-code-data-setup", 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/BingHanOfUESTC/open_agent_team.git --path teams/auto_research_team/skills/reproducible-code-data-setup--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 BingHanOfUESTC/open_agent_team --skill reproducible-code-data-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BingHanOfUESTC/open_agent_team reproducible-code-data-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/teams/auto_research_team/skills/reproducible-code-data-setup .gemini/skills/reproducible-code-data-setup && 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 "reproducible-code-data-setup" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/reproducible-code-data-setup into .gemini/skills/reproducible-code-data-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reproducible-code-data-setup", 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 BingHanOfUESTC/open_agent_team reproducible-code-data-setupInstalls 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 BingHanOfUESTC/open_agent_team --skill reproducible-code-data-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .github/skills && cp -r skills-src/teams/auto_research_team/skills/reproducible-code-data-setup .github/skills/reproducible-code-data-setup && 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 "reproducible-code-data-setup" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/reproducible-code-data-setup into .github/skills/reproducible-code-data-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reproducible-code-data-setup", 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 BingHanOfUESTC/open_agent_team --skill reproducible-code-data-setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BingHanOfUESTC/open_agent_team reproducible-code-data-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/teams/auto_research_team/skills/reproducible-code-data-setup .opencode/skills/reproducible-code-data-setup && 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 "reproducible-code-data-setup" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/reproducible-code-data-setup into .opencode/skills/reproducible-code-data-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reproducible-code-data-setup", 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.
reproducible-code-data-setupA skill your agent uses when downloading repositories, preparing datasets, checking licenses, creating environments, running smoke tests, or preparing reproducible research code.
Reproducible Code Data Setup is an agent skill from BingHanOfUESTC/open_agent_team. Use this skill when downloading repositories, preparing datasets, checking licenses, creating environments, running smoke tests, or preparing reproducible research code.
Its SKILL.md is about 460 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 QA and bug reports and Reproducible research. The repository describes itself as: Build persistent multi-agent teams that collaborate like real organizations to deliver complex tasks. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7e28736. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Reproducible Code Data Setup loads about 458 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 89 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.
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.
The full file from BingHanOfUESTC/open_agent_team at commit 7e28736, republished under its MIT licence (© BingHanOfUESTC). 89 words, ~458 tokens.
.claude/skills/reproducible-code-data-setup/SKILL.md (or your agent's skills folder).This skill controls the handoff from idea to runnable research artifact.
Before using external code or data, record:
name
URL
local path
commit/tag/version
license
download date
intended use
security notesWrite it to:
research_workspace/06_code_data_manifest.mdDo not run installer scripts from unknown repositories before reading them.
Check for:
credential access
network exfiltration
destructive filesystem operations
hidden downloads
opaque binaries
postinstall hooks
unbounded subprocess spawning
license incompatibility
dataset terms that prohibit the intended useIf risk is unclear, isolate in a container or do static review only.
Create one of:
environment.yml
requirements.txt
pyproject.toml
Dockerfile
setup_notes.mdRecord:
OS
Python version
CUDA/ROCm/CPU status
GPU model and memory
package manager
exact install commands
known incompatibilitiesRun the cheapest possible checks first:
import test
CLI help command
unit test subset
dataset sample load
one batch forward pass
one batch train step
metric computation on tiny outputOnly after smoke tests pass should full experiments begin.
When modifying third-party code:
keep changes minimal
prefer config switches over invasive edits
document every modified file
preserve upstream license headers
separate baseline from new method
make experiment commands reproducible© BingHanOfUESTC, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in teams/auto_research_team/skills/reproducible-code-data-setup of BingHanOfUESTC/open_agent_team.
Open the folder on GitHubat commit 7e28736
Reproducible Code Data Setup 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 |
|---|---|---|---|---|---|---|
| Reproducible Code Data Setup this skillBingHanOfUESTC/open_agent_team | 106 | — | ~458 | Automated safety check: Pass | MIT | |
| Early Experience DataOSU-NLP-Group/EarlyExperience | 102 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Scrub Issuepytorch/pytorch | 104k | — | ~4.6k | Automated safety check: Pass | Custom licence | |
| Test Quality Assurancewislertt/leetcode-py | 142 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Reproduce Chat Statesdifferent-ai/openwork | 24k | — | ~673 | Automated safety check: Pass | Custom licence | |
| Dynamo Jira TicketDynamoDS/Dynamo | 2k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
OSU-NLP-Group/EarlyExperience
A skill your agent uses whenever the user asks to generate, collect, inspect, or prepare early-experience training data (Implicit World Modeling or Self-Reflection, in the sense of arXiv:2510.08558)…
pytorch/pytorch
Fetch, analyze, reproduce, and minimize GitHub issue reproductions.
wislertt/leetcode-py
Test quality assurance workflow for LeetCode problems - verifies reproducibility, fixes linting issues, and ensures test structure matches JSON templates.
different-ai/openwork
Fires known chat states in the running OpenWork desktop app, such as provider errors, retries and tool steps, so you can check how each renders.
DynamoDS/Dynamo
Create structured Jira tickets for Dynamo from bug reports, failing tests, or feature requests.
lllllllama/RigorPilot-Skills
Rigor Run skill for README-first deep learning repo reproduction.
BingHanOfUESTC/open_agent_team
A skill your agent uses when validating a newly created or updated agent skill with structure checks, routing positive and negative examples, contamination checks, progressive disclosure review, and…
BingHanOfUESTC/open_agent_team
A skill your agent uses when autoresearchteam needs to manage an end-to-end research lifecycle from Boss brief to literature, idea, implementation, experiments, synthesis, and LaTeX delivery.
BingHanOfUESTC/open_agent_team
A skill your agent uses when designing, running, logging, diagnosing, or iterating experiments for the selected research idea.
BingHanOfUESTC/open_agent_team
A skill your agent uses when producing the final arXiv-style LaTeX paper, BibTeX, figures, tables, reproducibility statement, appendix, and artifact manifest.
BingHanOfUESTC/open_agent_team
A skill your agent uses when discovering papers, mapping related work, reading papers deeply, checking citations, or building evidence cards for an auto research task.
BingHanOfUESTC/open_agent_team
A skill your agent uses when PPT slides need external images, screenshots, logos, product photos, stock-like visuals, diagrams, or videos that must be downloaded, inserted, or linked with source and…
Categories
A skill your agent uses when downloading repositories, preparing datasets, checking licenses, creating environments, running smoke tests, or preparing reproducible research code. Reproducible Code Data Setup is an agent skill from BingHanOfUESTC/open_agent_team. Use this skill when downloading repositories, preparing datasets, checking licenses, creating environments, running smoke tests, or preparing reproducible research code.
Reproducible Code Data Setup fits situations like: downloading repositories; preparing datasets; checking licenses; creating environments.
Run `npx skills add BingHanOfUESTC/open_agent_team --skill reproducible-code-data-setup -a claude-code`. Or copy the skill folder (teams/auto_research_team/skills/reproducible-code-data-setup in BingHanOfUESTC/open_agent_team) into .claude/skills/reproducible-code-data-setup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add BingHanOfUESTC/open_agent_team --skill reproducible-code-data-setup -a codex`. Or copy the skill folder (teams/auto_research_team/skills/reproducible-code-data-setup in BingHanOfUESTC/open_agent_team) into .agents/skills/reproducible-code-data-setup in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BingHanOfUESTC/open_agent_team --skill reproducible-code-data-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reproducible-code-data-setup, .gemini/skills/reproducible-code-data-setup, .github/skills/reproducible-code-data-setup and .opencode/skills/reproducible-code-data-setup in your project.
SKILL.md names no scripts, command-line tools or credentials: Reproducible Code Data Setup is instructions for the agent only. Our summary lists: Python 3.
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.
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.
Reproducible Code Data Setup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 458 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Reproducible Code Data Setup: Early Experience Data (OSU-NLP-Group/EarlyExperience, 102 stars), Scrub Issue (pytorch/pytorch, 104k stars), Test Quality Assurance (wislertt/leetcode-py, 142 stars) and Reproduce Chat States (different-ai/openwork, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
BingHanOfUESTC (a GitHub user) maintains it in BingHanOfUESTC/open_agent_team, which has 106 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on June 23, 2026.
Source: BingHanOfUESTC/open_agent_team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
