Runner
agentuse/agentuse
Run and manage AgentUse agents from the CLI. An agent skill from agentuse/agentuse.
Run a research Workflow end to end when the user requests a survey, brief, review, tutorial, or idea exploration; route an unbound goal, execute one eligible Unit at a time, and stop at checkpoints…
No licenceAuto-check passed
Install Research Pipeline Runner
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill research-pipeline-runner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills research-pipeline-runner --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/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/research-pipeline-runner .claude/skills/research-pipeline-runner && 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 "research-pipeline-runner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/research-pipeline-runner into .claude/skills/research-pipeline-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-pipeline-runner", 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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/research-pipeline-runnerType 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 WILLOSCAR/research-units-pipeline-skills --skill research-pipeline-runner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills research-pipeline-runner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/research-pipeline-runner .agents/skills/research-pipeline-runner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research-pipeline-runner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/research-pipeline-runner into .agents/skills/research-pipeline-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-pipeline-runner", 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 WILLOSCAR/research-units-pipeline-skills --skill research-pipeline-runner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills research-pipeline-runner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/research-pipeline-runner .cursor/skills/research-pipeline-runner && 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 "research-pipeline-runner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/research-pipeline-runner into .cursor/skills/research-pipeline-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-pipeline-runner", 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/WILLOSCAR/research-units-pipeline-skills.git --path .codex/skills/research-pipeline-runner--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 WILLOSCAR/research-units-pipeline-skills --skill research-pipeline-runner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills research-pipeline-runner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/research-pipeline-runner .gemini/skills/research-pipeline-runner && 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 "research-pipeline-runner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/research-pipeline-runner into .gemini/skills/research-pipeline-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-pipeline-runner", 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 WILLOSCAR/research-units-pipeline-skills research-pipeline-runnerInstalls 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 WILLOSCAR/research-units-pipeline-skills --skill research-pipeline-runner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/research-pipeline-runner .github/skills/research-pipeline-runner && 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 "research-pipeline-runner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/research-pipeline-runner into .github/skills/research-pipeline-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-pipeline-runner", 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 WILLOSCAR/research-units-pipeline-skills --skill research-pipeline-runner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills research-pipeline-runner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/research-pipeline-runner .opencode/skills/research-pipeline-runner && 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 "research-pipeline-runner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/research-pipeline-runner into .opencode/skills/research-pipeline-runner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-pipeline-runner", 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
research-pipeline-runner- GitHub stars
- 513
- Token cost
- ~1.1k tokens
- SKILL.md length
- 485 words
- Files
- 1
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- None found
At a glance
Run a research Workflow end to end when the user requests a survey, brief, review, tutorial, or idea exploration; route an unbound goal, execute one eligible Unit at a time, and stop at checkpoints…
- Works in 5 steps: Bind the Goal to one Workflow → Reconcile before execution → Execute one Unit → …
- Requests a survey
- SKILL.md covers Inputs, Outputs, Steps and Branch Pointers, plus 1 more section
- Calls uv
What it does
Research Pipeline Runner is an agent skill from WILLOSCAR/research-units-pipeline-skills. Run a research Workflow end to end when the user requests a survey, brief, review, tutorial, or idea exploration; route an unbound goal, execute one eligible Unit at a time, and stop at checkpoints or diagnosed failures.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing…
When your agent uses it
- Requests a survey
- Idea exploration
- Route an unbound goal
- Execute one eligible Unit at a time
Example prompts
- “/research-pipeline-runner”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Bind the Goal to one Workflow
- Reconcile before execution
- Execute one Unit
- Respect the stop line
- Continue to the declared outcome
What it can do on your machine
Read from SKILL.md and the folder at commit c92912a. 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:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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
Research Pipeline Runner loads about 1.1k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 485 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); 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 485 words (~1,074 tokens).
“The runner turns one requested outcome into an auditable Workspace. Its leading word is continuation: every action must leave enough durable state for the next command or agent to continue without reconstructing the Run from chat.”
- name
- research-pipeline-runner
- binding
- library
Files
Just SKILL.md in .codex/skills/research-pipeline-runner of WILLOSCAR/research-units-pipeline-skills.
Open the folder on GitHubat commit c92912a
Compare with similar skills
Research Pipeline Runner 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 |
|---|---|---|---|---|---|---|
| Research Pipeline Runner this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~1.1k | Automated safety check: Pass | None | |
| Runneragentuse/agentuse | 205 | — | ~1k | Automated safety check: Pass | Custom licence | |
| Agent Test Long Runnerruvnet/ruflo | 74k | 2 repos | ~426 | Automated safety check: Pass | MIT | |
| Depot GitHub RunnersPostHog/posthog | 40k | — | ~2.8k | Automated safety check: Pass | Custom licence | |
| Add Runner Evalpaperclipai/paperclip | 99k | — | ~1k | Automated safety check: Pass | MIT | |
| Pytest Runnersaleor/saleor | 23k | — | ~251 | Automated safety check: Pass | BSD-3-Clause |
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More from WILLOSCAR/research-units-pipeline-skills
All 107 skills in this repoAppendix Table Writer
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Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
Artifact Contract Auditor
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Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing output/CONTRACTREPORT.md; use for mid-Run coverage snapshots or final delivery completeness, not deep…
Arxiv Search
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Retrieve arXiv paper metadata with keyword queries or import an offline arXiv export, and save results as JSONL (papers/papersraw.jsonl).
Chapter Lead Writer
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Write H2 chapter lead blocks (sections/S<secidlead.md) that preview the chapter's comparison lens and connect its H3 subsections, without adding new facts.
Chapter Skeleton
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Build a retrieval-informed chapter skeleton (outline/chapterskeleton.yml) from taxonomy/core scope before stable H3 decomposition.
Dedupe Rank
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A skill your agent uses when a broad paper candidate pool needs deterministic deduplication and a stable core set.
Questions about Research Pipeline Runner
What does Research Pipeline Runner do?
Run a research Workflow end to end when the user requests a survey, brief, review, tutorial, or idea exploration; route an unbound goal, execute one eligible Unit at a time, and stop at checkpoints…. Research Pipeline Runner is an agent skill from WILLOSCAR/research-units-pipeline-skills. Run a research Workflow end to end when the user requests a survey, brief, review, tutorial, or idea exploration; route an unbound goal, execute one eligible Unit at a time, and stop at checkpoints or diagnosed failures.
When should I use Research Pipeline Runner?
Research Pipeline Runner fits situations like: requests a survey; idea exploration; route an unbound goal; execute one eligible Unit at a time.
How do I install Research Pipeline Runner in Claude Code?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill research-pipeline-runner -a claude-code`. Or copy the skill folder (.codex/skills/research-pipeline-runner in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/research-pipeline-runner in your project. Claude Code loads it when a task matches its description.
How do I install Research Pipeline Runner in Codex?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill research-pipeline-runner -a codex`. Or copy the skill folder (.codex/skills/research-pipeline-runner in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/research-pipeline-runner in your project. Codex loads it when a task matches its description.
Can I use Research Pipeline Runner 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 WILLOSCAR/research-units-pipeline-skills --skill research-pipeline-runner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-pipeline-runner, .gemini/skills/research-pipeline-runner, .github/skills/research-pipeline-runner and .opencode/skills/research-pipeline-runner in your project.
What does Research Pipeline Runner need to run?
Going by SKILL.md and its folder, Research Pipeline Runner needs the command-line tools its instructions call (uv).
Does Research Pipeline Runner access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Research Pipeline Runner 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. Review the folder before installing.
What licence does Research Pipeline Runner use?
No licence was found for Research Pipeline Runner or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Research Pipeline Runner use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 Research Pipeline Runner?
Skills that share tags, products or a category with Research Pipeline Runner: Runner (agentuse/agentuse, 205 stars), Agent Test Long Runner (ruvnet/ruflo, 74k stars), Depot GitHub Runners (PostHog/posthog, 40k stars) and Add Runner Eval (paperclipai/paperclip, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Research Pipeline Runner?
WILLOSCAR (a GitHub user) maintains it in WILLOSCAR/research-units-pipeline-skills, which has 513 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 5, 2026.
Source: WILLOSCAR/research-units-pipeline-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.