Fs Fixture
privatenumber/fs-fixture
Create disposable file system test fixtures from objects, templates, or empty directories with automatic cleanup.
Use inside RSIBench-Data when testing whether an automation agent can improve a target model on a configured benchmark through synthetic Tinker SFT data, Tinker sampling, and E2B-based Harbor…
Install Rsibench Data Factory
$ npx skills add evolvent-ai/RSIBench-Data --skill rsibench-data-factory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install evolvent-ai/RSIBench-Data rsibench-data-factory --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/evolvent-ai/RSIBench-Data.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/rsibench-data-factory .claude/skills/rsibench-data-factory && 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 "rsibench-data-factory" agent skill from https://github.com/evolvent-ai/RSIBench-Data/tree/main/skills/rsibench-data-factory into .claude/skills/rsibench-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rsibench-data-factory", 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/evolvent-ai/RSIBench-Data/tree/main/skills/rsibench-data-factoryType 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 evolvent-ai/RSIBench-Data --skill rsibench-data-factory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install evolvent-ai/RSIBench-Data rsibench-data-factory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/evolvent-ai/RSIBench-Data.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/rsibench-data-factory .agents/skills/rsibench-data-factory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rsibench-data-factory" agent skill from https://github.com/evolvent-ai/RSIBench-Data/tree/main/skills/rsibench-data-factory into .agents/skills/rsibench-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rsibench-data-factory", 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 evolvent-ai/RSIBench-Data --skill rsibench-data-factory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install evolvent-ai/RSIBench-Data rsibench-data-factory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/evolvent-ai/RSIBench-Data.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/rsibench-data-factory .cursor/skills/rsibench-data-factory && 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 "rsibench-data-factory" agent skill from https://github.com/evolvent-ai/RSIBench-Data/tree/main/skills/rsibench-data-factory into .cursor/skills/rsibench-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rsibench-data-factory", 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/evolvent-ai/RSIBench-Data.git --path skills/rsibench-data-factory--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 evolvent-ai/RSIBench-Data --skill rsibench-data-factory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install evolvent-ai/RSIBench-Data rsibench-data-factory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/evolvent-ai/RSIBench-Data.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/rsibench-data-factory .gemini/skills/rsibench-data-factory && 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 "rsibench-data-factory" agent skill from https://github.com/evolvent-ai/RSIBench-Data/tree/main/skills/rsibench-data-factory into .gemini/skills/rsibench-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rsibench-data-factory", 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 evolvent-ai/RSIBench-Data rsibench-data-factoryInstalls 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 evolvent-ai/RSIBench-Data --skill rsibench-data-factory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/evolvent-ai/RSIBench-Data.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/rsibench-data-factory .github/skills/rsibench-data-factory && 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 "rsibench-data-factory" agent skill from https://github.com/evolvent-ai/RSIBench-Data/tree/main/skills/rsibench-data-factory into .github/skills/rsibench-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rsibench-data-factory", 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 evolvent-ai/RSIBench-Data --skill rsibench-data-factory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install evolvent-ai/RSIBench-Data rsibench-data-factory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/evolvent-ai/RSIBench-Data.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/rsibench-data-factory .opencode/skills/rsibench-data-factory && 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 "rsibench-data-factory" agent skill from https://github.com/evolvent-ai/RSIBench-Data/tree/main/skills/rsibench-data-factory into .opencode/skills/rsibench-data-factory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rsibench-data-factory", 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
rsibench-data-factory- GitHub stars
- 171
- Token cost
- ~640 tokens
- SKILL.md length
- 249 words
- Files
- 1
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- None found
At a glance
Use inside RSIBench-Data when testing whether an automation agent can improve a target model on a configured benchmark through synthetic Tinker SFT data, Tinker sampling, and E2B-based Harbor…
- Works in 6 steps: README.md → docs/tinker_train_eval.md → docs/tinker_cookbook.md → …
- Tasks that involve Test data and fixtures
- Calls bash and python
What it does
Rsibench Data Factory is an agent skill from evolvent-ai/RSIBench-Data. Use inside RSIBench-Data when testing whether an automation agent can improve a target model on a configured benchmark through synthetic Tinker SFT data, Tinker sampling, and E2B-based Harbor evaluation.
Its SKILL.md is about 640 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 Test data and fixtures. The repository describes itself as: Synthetic data generation, post-training, and E2B benchmark evaluation infrastructure.
When your agent uses it
- Tasks that involve Test data and fixtures
Example prompts
- “/rsibench-data-factory”
Requirements
- Python 3
- Docker
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- README.md
- docs/tinker_train_eval.md
- docs/tinker_cookbook.md
- backend/e2b_eval/README.md
- RUN_CONTRACT.md in the generated agent workspace
- The current benchmark context copied under benchmarks/
What it can do on your machine
Read from SKILL.md and the folder at commit 4c80761. 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
Shell commands in SKILL.md call:
bashpython
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
Rsibench Data Factory loads about 640 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 249 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.
- NoteMentions a .env fileSKILL.md:64
MODEL` defaults to `LITELLM_MODEL` from `.env`; override it only
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 249 words (~640 tokens).
- name
- rsibench-data-factory
Files
Just SKILL.md in skills/rsibench-data-factory of evolvent-ai/RSIBench-Data.
Open the folder on GitHubat commit 4c80761
Compare with similar skills
Rsibench Data Factory 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 |
|---|---|---|---|---|---|---|
| Rsibench Data Factory this skillevolvent-ai/RSIBench-Data | 171 | — | ~640 | Automated safety check: Notes | None | |
| Fs Fixtureprivatenumber/fs-fixture | 100 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Dev Tenant APInightscout/nocturne | 139 | — | ~1.4k | Automated safety check: Pass | None | |
| Setup GuideRed-Hat-AI-Innovation-Team/sdg_hub | 164 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Eval Designagentscope-ai/OpenJudge | 871 | — | ~2.8k | Automated safety check: Warn | Apache-2.0 | |
| Data GenerationRed-Hat-AI-Innovation-Team/sdg_hub | 164 | — | ~381 | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Rsibench Data Factory
What does Rsibench Data Factory do?
Use inside RSIBench-Data when testing whether an automation agent can improve a target model on a configured benchmark through synthetic Tinker SFT data, Tinker sampling, and E2B-based Harbor…. Rsibench Data Factory is an agent skill from evolvent-ai/RSIBench-Data. Use inside RSIBench-Data when testing whether an automation agent can improve a target model on a configured benchmark through synthetic Tinker SFT data, Tinker sampling, and E2B-based Harbor evaluation.
When should I use Rsibench Data Factory?
Rsibench Data Factory fits situations like: tasks that involve Test data and fixtures.
How do I install Rsibench Data Factory in Claude Code?
Run `npx skills add evolvent-ai/RSIBench-Data --skill rsibench-data-factory -a claude-code`. Or copy the skill folder (skills/rsibench-data-factory in evolvent-ai/RSIBench-Data) into .claude/skills/rsibench-data-factory in your project. Claude Code loads it when a task matches its description.
How do I install Rsibench Data Factory in Codex?
Run `npx skills add evolvent-ai/RSIBench-Data --skill rsibench-data-factory -a codex`. Or copy the skill folder (skills/rsibench-data-factory in evolvent-ai/RSIBench-Data) into .agents/skills/rsibench-data-factory in your project. Codex loads it when a task matches its description.
Can I use Rsibench Data Factory 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 evolvent-ai/RSIBench-Data --skill rsibench-data-factory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rsibench-data-factory, .gemini/skills/rsibench-data-factory, .github/skills/rsibench-data-factory and .opencode/skills/rsibench-data-factory in your project.
What does Rsibench Data Factory need to run?
Going by SKILL.md and its folder, Rsibench Data Factory needs the command-line tools its instructions call (bash and python). Our summary lists: Python 3; Docker.
Does Rsibench Data Factory 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 Rsibench Data Factory safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Rsibench Data Factory use?
No licence was found for Rsibench Data Factory or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Rsibench Data Factory use?
About 640 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.
What are the alternatives to Rsibench Data Factory?
Skills that share tags, products or a category with Rsibench Data Factory: Fs Fixture (privatenumber/fs-fixture, 100 stars), Dev Tenant API (nightscout/nocturne, 139 stars), Setup Guide (Red-Hat-AI-Innovation-Team/sdg_hub, 164 stars) and Eval Design (agentscope-ai/OpenJudge, 871 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Rsibench Data Factory?
evolvent-ai (a GitHub organization) maintains it in evolvent-ai/RSIBench-Data, which has 171 GitHub stars. The repository was last updated on August 25, 2026.
Source: evolvent-ai/RSIBench-Data on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.