Claims
ruvnet/ruflo
Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.
A skill your agent uses when a review workspace has manuscript text and needs a traceable claim ledger.
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill claims-extractor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills claims-extractor --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/claims-extractor .claude/skills/claims-extractor && 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 "claims-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/claims-extractor into .claude/skills/claims-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claims-extractor", 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/claims-extractorType 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 claims-extractor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills claims-extractor --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/claims-extractor .agents/skills/claims-extractor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "claims-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/claims-extractor into .agents/skills/claims-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claims-extractor", 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 claims-extractor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills claims-extractor --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/claims-extractor .cursor/skills/claims-extractor && 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 "claims-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/claims-extractor into .cursor/skills/claims-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claims-extractor", 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/claims-extractor--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 claims-extractor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills claims-extractor --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/claims-extractor .gemini/skills/claims-extractor && 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 "claims-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/claims-extractor into .gemini/skills/claims-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claims-extractor", 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 claims-extractorInstalls 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 claims-extractor -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/claims-extractor .github/skills/claims-extractor && 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 "claims-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/claims-extractor into .github/skills/claims-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claims-extractor", 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 claims-extractor -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 claims-extractor --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/claims-extractor .opencode/skills/claims-extractor && 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 "claims-extractor" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/claims-extractor into .opencode/skills/claims-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claims-extractor", 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.
claims-extractorA skill your agent uses when a review workspace has manuscript text and needs a traceable claim ledger.
Claims Extractor is an agent skill from WILLOSCAR/research-units-pipeline-skills. Use when a review workspace has manuscript text and needs a traceable claim ledger.
Its SKILL.md is about 400 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`).
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…
Read from SKILL.md and the folder at commit c92912a. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
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.
Claims Extractor loads about 403 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 173 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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 173 words (~403 tokens).
“Transforms manuscript text into a traceable claim ledger for paper-review.”
SKILL.md and 1 other file (scripts) in .codex/skills/claims-extractor of WILLOSCAR/research-units-pipeline-skills.
Open the folder on GitHubat commit c92912a
Claims Extractor 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 |
|---|---|---|---|---|---|---|
| Claims Extractor this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~403 | Automated safety check: Pass | None | |
| Claimsruvnet/ruflo | 74k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Drama Script Entity Extractorchatfire-AI/huobao-drama | 16k | — | ~491 | Automated safety check: Pass | Custom licence | |
| Dos Verify Done Claimssickn33/agentic-awesome-skills | 47k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Claim Chartanthropics/claude-for-legal | 9.6k | 2 repos | ~10k | Automated safety check: Pass | Apache-2.0 | |
| Competitive Ads Extractornexu-io/open-design | 100k | — | ~344 | Automated safety check: Pass | Apache-2.0 |
ruvnet/ruflo
Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.
chatfire-AI/huobao-drama
Rules for pulling characters, scenes and key props out of a short-drama episode script and saving them without duplicates, written in Chinese.
sickn33/agentic-awesome-skills
Before accepting an agent's 'done / shipped / fixed' claim, verify it against ground truth (git ancestry + the commit's own diff) using the DOS kernel's dos verify and dos commit-audit — never the…
anthropics/claude-for-legal
Build or review an element chart — a patent claim chart (infringement, invalidity, or review) or a civil element chart for any cause of action or defense — with every cell pin-cited and gap…
nexu-io/open-design
Extract and analyze competitors' ads from ad libraries to understand messaging and creative approaches that resonate.
wanshuiyin/Auto-claude-code-research-in-sleep
Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files.
WILLOSCAR/research-units-pipeline-skills
Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
WILLOSCAR/research-units-pipeline-skills
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…
WILLOSCAR/research-units-pipeline-skills
Retrieve arXiv paper metadata with keyword queries or import an offline arXiv export, and save results as JSONL (papers/papersraw.jsonl).
WILLOSCAR/research-units-pipeline-skills
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.
WILLOSCAR/research-units-pipeline-skills
Build a retrieval-informed chapter skeleton (outline/chapterskeleton.yml) from taxonomy/core scope before stable H3 decomposition.
WILLOSCAR/research-units-pipeline-skills
A skill your agent uses when a broad paper candidate pool needs deterministic deduplication and a stable core set.
A skill your agent uses when a review workspace has manuscript text and needs a traceable claim ledger. Claims Extractor is an agent skill from WILLOSCAR/research-units-pipeline-skills. Use when a review workspace has manuscript text and needs a traceable claim ledger.
Claims Extractor fits situations like: A review workspace has manuscript text and needs a traceable claim ledger.
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill claims-extractor -a claude-code`. Or copy the skill folder (.codex/skills/claims-extractor in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/claims-extractor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill claims-extractor -a codex`. Or copy the skill folder (.codex/skills/claims-extractor in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/claims-extractor 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 WILLOSCAR/research-units-pipeline-skills --skill claims-extractor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/claims-extractor, .gemini/skills/claims-extractor, .github/skills/claims-extractor and .opencode/skills/claims-extractor in your project.
Going by SKILL.md and its folder, Claims Extractor needs Python for the scripts in its folder. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Claims Extractor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 403 tokens (SKILL.md is roughly 1.6k 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 Claims Extractor: Claims (ruvnet/ruflo, 74k stars), Drama Script Entity Extractor (chatfire-AI/huobao-drama, 16k stars), Dos Verify Done Claims (sickn33/agentic-awesome-skills, 47k stars) and Claim Chart (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.