Requirements
rizsotto/Bear
Write, modify, or review a requirement file under docs/requirements -- pick the single owning file, keep the text contract-only, name IDs so they need no explanation, and verify cross-references and…
Planner-pass coverage + redundancy report for an outline+mapping, producing outline/coveragereport.md and outline/outlinestate.jsonl.
Install Outline Refiner
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill outline-refiner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills outline-refiner --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/outline-refiner .claude/skills/outline-refiner && 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 "outline-refiner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/outline-refiner into .claude/skills/outline-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outline-refiner", 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/outline-refinerType 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 outline-refiner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills outline-refiner --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/outline-refiner .agents/skills/outline-refiner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "outline-refiner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/outline-refiner into .agents/skills/outline-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outline-refiner", 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 outline-refiner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills outline-refiner --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/outline-refiner .cursor/skills/outline-refiner && 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 "outline-refiner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/outline-refiner into .cursor/skills/outline-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outline-refiner", 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/outline-refiner--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 outline-refiner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills outline-refiner --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/outline-refiner .gemini/skills/outline-refiner && 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 "outline-refiner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/outline-refiner into .gemini/skills/outline-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outline-refiner", 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 outline-refinerInstalls 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 outline-refiner -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/outline-refiner .github/skills/outline-refiner && 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 "outline-refiner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/outline-refiner into .github/skills/outline-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outline-refiner", 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 outline-refiner -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 outline-refiner --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/outline-refiner .opencode/skills/outline-refiner && 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 "outline-refiner" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/outline-refiner into .opencode/skills/outline-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outline-refiner", 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
outline-refiner- GitHub stars
- 513
- Token cost
- ~824 tokens
- SKILL.md length
- 336 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- None found
At a glance
Planner-pass coverage + redundancy report for an outline+mapping, producing outline/coveragereport.md and outline/outlinestate.jsonl.
- Works in 6 steps: Parse outline/outline.yml to enumerate… → Read outline/mapping.tsv and compute… → If papers/paper_notes.jsonl exists,… → …
- Tasks that involve Test coverage
- SKILL.md covers Triggers & routing, Inputs, Outputs and Workflow (planner pass, NO…, plus 3 more sections
- Runs Python scripts from its folder; calls uv
What it does
Outline Refiner is an agent skill from WILLOSCAR/research-units-pipeline-skills. Planner-pass coverage + redundancy report for an outline+mapping, producing outline/coveragereport.md and outline/outlinestate.jsonl.
Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/run.py`).
It sits in Testing & QA, covering Test coverage. 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
- Tasks that involve Test coverage
Example prompts
- “/outline-refiner”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Parse outline/outline.yml to enumerate H2 sections + H3 subsections (section sizing / budget).
- Read outline/mapping.tsv and compute per-H3 coverage and reuse hotspots.
- If papers/paper_notes.jsonl exists, summarize evidence levels (fulltext/abstract/title) for mapped papers.
- If outline/subsection_briefs.jsonl exists, compute axis specificity (generic vs specific axes) per H3.
- Optionally use GOAL.md to flag obvious scope drift (keywords not reflected in outline).
- Write outline/coverage_report.md and append a run record to outline/outline_state.jsonl.
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
Ships 1 file in scripts/ (Python), which the agent can run.
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
Outline Refiner loads about 824 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 336 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 336 words (~824 tokens).
“Goal: make the outline auditable by adding an explicit planner stage that answers:”
- name
- outline-refiner
Files
SKILL.md and 1 other file (scripts) in .codex/skills/outline-refiner of WILLOSCAR/research-units-pipeline-skills.
- SKILL.md
- scripts/run.py
Open the folder on GitHubat commit c92912a
Compare with similar skills
Outline Refiner 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 |
|---|---|---|---|---|---|---|
| Outline Refiner this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~824 | Automated safety check: Pass | None | |
| Requirementsrizsotto/Bear | 6.5k | — | ~2k | Automated safety check: Pass | GPL-3.0 | |
| Crap Analysisardalis/RiverBooks | 135 | 2 repos | ~3.4k | Automated safety check: Pass | None | |
| Code Coverages3s-project/s3s | 311 | — | ~789 | Automated safety check: Pass | Apache-2.0 | |
| Project Statusbactopia/bactopia | 522 | — | ~787 | Automated safety check: Pass | MIT | |
| Check Coverageldayton/Dippy | 243 | — | ~403 | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Outline Refiner
What does Outline Refiner do?
Planner-pass coverage + redundancy report for an outline+mapping, producing outline/coveragereport.md and outline/outlinestate.jsonl. Outline Refiner is an agent skill from WILLOSCAR/research-units-pipeline-skills.jsonl.
When should I use Outline Refiner?
Outline Refiner fits situations like: tasks that involve Test coverage.
How do I install Outline Refiner in Claude Code?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill outline-refiner -a claude-code`. Or copy the skill folder (.codex/skills/outline-refiner in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/outline-refiner in your project. Claude Code loads it when a task matches its description.
How do I install Outline Refiner in Codex?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill outline-refiner -a codex`. Or copy the skill folder (.codex/skills/outline-refiner in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/outline-refiner in your project. Codex loads it when a task matches its description.
Can I use Outline Refiner 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 outline-refiner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/outline-refiner, .gemini/skills/outline-refiner, .github/skills/outline-refiner and .opencode/skills/outline-refiner in your project.
What does Outline Refiner need to run?
Going by SKILL.md and its folder, Outline Refiner needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does Outline Refiner 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 Outline Refiner 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 Outline Refiner use?
No licence was found for Outline Refiner or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Outline Refiner use?
About 824 tokens (SKILL.md is roughly 3.3k 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 Outline Refiner?
Skills that share tags, products or a category with Outline Refiner: Requirements (rizsotto/Bear, 6.5k stars), Crap Analysis (ardalis/RiverBooks, 135 stars), Code Coverage (s3s-project/s3s, 311 stars) and Project Status (bactopia/bactopia, 522 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Outline Refiner?
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.