Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
Workflow 1.5: Bridge between idea discovery and auto review.
Install Experiment Bridge
$ npx skills add AI4Scientist/nano-scientist --skill experiment-bridge -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AI4Scientist/nano-scientist experiment-bridge --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/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/experiment-bridge .claude/skills/experiment-bridge && 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 "experiment-bridge" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-bridge into .claude/skills/experiment-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-bridge", 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/AI4Scientist/nano-scientist/tree/main/skills/experiment-bridgeType 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 AI4Scientist/nano-scientist --skill experiment-bridge -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AI4Scientist/nano-scientist experiment-bridge --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/experiment-bridge .agents/skills/experiment-bridge && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "experiment-bridge" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-bridge into .agents/skills/experiment-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-bridge", 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 AI4Scientist/nano-scientist --skill experiment-bridge -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AI4Scientist/nano-scientist experiment-bridge --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/experiment-bridge .cursor/skills/experiment-bridge && 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 "experiment-bridge" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-bridge into .cursor/skills/experiment-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-bridge", 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/AI4Scientist/nano-scientist.git --path skills/experiment-bridge--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 AI4Scientist/nano-scientist --skill experiment-bridge -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AI4Scientist/nano-scientist experiment-bridge --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/experiment-bridge .gemini/skills/experiment-bridge && 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 "experiment-bridge" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-bridge into .gemini/skills/experiment-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-bridge", 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 AI4Scientist/nano-scientist experiment-bridgeInstalls 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 AI4Scientist/nano-scientist --skill experiment-bridge -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/experiment-bridge .github/skills/experiment-bridge && 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 "experiment-bridge" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-bridge into .github/skills/experiment-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-bridge", 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 AI4Scientist/nano-scientist --skill experiment-bridge -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AI4Scientist/nano-scientist experiment-bridge --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/experiment-bridge .opencode/skills/experiment-bridge && 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 "experiment-bridge" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/experiment-bridge into .opencode/skills/experiment-bridge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-bridge", 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
experiment-bridge- GitHub stars
- 128
- Used in
- 4 other repos
- Token cost
- ~3.8k tokens
- SKILL.md length
- 1,355 words
- Files
- 1
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- None found
At a glance
Workflow 1.5: Bridge between idea discovery and auto review.
- Works in 9 steps: Parse the Experiment Plan → Implement Experiment Code → 5: Cross-Model Code Review (when… → …
- Implement experiments
- SKILL.md covers Overview, Constants, Inputs and Workflow, plus 3 more sections
- Calls git; reaches github.com
What it does
Experiment Bridge is an agent skill from AI4Scientist/nano-scientist. Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENTPLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.
Its SKILL.md is about 3.8k 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 Development. The repository describes itself as: An autonomous research agent that turns a topic into a peer-reviewed technical report.
When your agent uses it
- Implement experiments
- Deploy the plan
- Has an experiment plan ready to execute
Example prompts
- “implement experiments”
- “bridge”
- “从计划到跑实验”
- “/experiment-bridge”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash(*), Read, Write, Edit, Grep, Glob, Agent, Skill, mcp__codex__codex, mcp__codex__codex-reply
Workflow steps
9 steps, taken from the step headings in SKILL.md.
- Parse the Experiment Plan
- Implement Experiment Code
- 5: Cross-Model Code Review (when CODE_REVIEW = true)
- Sanity Check (if SANITY_FIRST = true)
- Deploy Full Experiments
- Collect Initial Results
- 5: Write Compact Log (when COMPACT = true)
- 6: Auto Ablation Planning
- Handoff
What it can do on your machine
Read from SKILL.md and the folder at commit 7132192. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadWriteEditGrepGlobAgentSkillmcp__codex__codexmcp__codex__codex-reply
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
git
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.com
Also links to:
modal.com
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
Experiment Bridge loads about 3.8k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 1,355 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, Agent, Skill, mcp__codex__codex, mcp__codex__codex-reply
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,355 words (~3,760 tokens).
“Implement and deploy experiments from plan: $ARGUMENTS”
- name
- experiment-bridge
- allowed-tools
- Bash(*), Read, Write, Edit, Grep, Glob, Agent, Skill, mcp__codex__codex, mcp__codex__codex-reply
- argument-hint
- experiment-plan-path-or-topic
Files
Just SKILL.md in skills/experiment-bridge of AI4Scientist/nano-scientist.
Open the folder on GitHubat commit 7132192
Used in 4 other repositories
We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.
- OpenLAIR/dr-clawskills/aris-experiment-bridge
- wanshuiyin/Auto-claude-code-research-in-sleepskills/experiment-bridgeskills/skills-codex/experiment-bridge
- brycewang-stanford/Auto-Empirical-Research-Skillsskills/42-wanshuiyin-ARIS/skills/experiment-bridgeskills/42-wanshuiyin-ARIS/skills/skills-codex/experiment-bridge
- Tai609/NebulaMatruntime/skills-bundle/aris-experiment-bridgeruntime/aris/skills-nebulamat/aris-experiment-bridge+1 more
Compare with similar skills
Experiment Bridge 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 |
|---|---|---|---|---|---|---|
| Experiment Bridge this skillAI4Scientist/nano-scientist | 128 | 4 repos | ~3.8k | Automated safety check: Notes | None | |
| Vercel Composition Patternssupabase/supabase | 111k | 58 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
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PR Babysitter
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Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Code Review Checklist
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Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Greploop
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Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
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Related
Categories
Questions about Experiment Bridge
What does Experiment Bridge do?
Workflow 1.5: Bridge between idea discovery and auto review. Experiment Bridge is an agent skill from AI4Scientist/nano-scientist.5: Bridge between idea discovery and auto review.
When should I use Experiment Bridge?
Experiment Bridge fits situations like: implement experiments; deploy the plan; has an experiment plan ready to execute.
How do I install Experiment Bridge in Claude Code?
Run `npx skills add AI4Scientist/nano-scientist --skill experiment-bridge -a claude-code`. Or copy the skill folder (skills/experiment-bridge in AI4Scientist/nano-scientist) into .claude/skills/experiment-bridge in your project. Claude Code loads it when a task matches its description.
How do I install Experiment Bridge in Codex?
Run `npx skills add AI4Scientist/nano-scientist --skill experiment-bridge -a codex`. Or copy the skill folder (skills/experiment-bridge in AI4Scientist/nano-scientist) into .agents/skills/experiment-bridge in your project. Codex loads it when a task matches its description.
Can I use Experiment Bridge 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 AI4Scientist/nano-scientist --skill experiment-bridge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/experiment-bridge, .gemini/skills/experiment-bridge, .github/skills/experiment-bridge and .opencode/skills/experiment-bridge in your project.
What does Experiment Bridge need to run?
Going by SKILL.md and its folder, Experiment Bridge needs the command-line tools its instructions call (git). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(*), Read, Write, Edit, Grep, Glob, Agent, Skill, mcp__codex__codex, mcp__codex__codex-reply.
Does Experiment Bridge access the network?
SKILL.md names 2 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: modal.com. This is read from the text; nothing was executed.
Is Experiment Bridge safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Experiment Bridge use?
No licence was found for Experiment Bridge or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Experiment Bridge use?
About 3.8k tokens (SKILL.md is roughly 15k 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 Experiment Bridge?
Skills that share tags, products or a category with Experiment Bridge: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Experiment Bridge?
AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on June 3, 2026.
Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.