Perplexity Web Search
davila7/claude-code-templates
Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.
A skill your agent uses when evidence-review has screened includes and needs a schema-aligned extraction table.
Install Extraction Form
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill extraction-form -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills extraction-form --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/extraction-form .claude/skills/extraction-form && 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 "extraction-form" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/extraction-form into .claude/skills/extraction-form/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-form", 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/extraction-formType 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 extraction-form -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills extraction-form --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/extraction-form .agents/skills/extraction-form && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "extraction-form" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/extraction-form into .agents/skills/extraction-form/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-form", 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 extraction-form -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills extraction-form --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/extraction-form .cursor/skills/extraction-form && 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 "extraction-form" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/extraction-form into .cursor/skills/extraction-form/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-form", 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/extraction-form--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 extraction-form -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills extraction-form --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/extraction-form .gemini/skills/extraction-form && 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 "extraction-form" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/extraction-form into .gemini/skills/extraction-form/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-form", 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 extraction-formInstalls 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 extraction-form -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/extraction-form .github/skills/extraction-form && 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 "extraction-form" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/extraction-form into .github/skills/extraction-form/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-form", 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 extraction-form -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 extraction-form --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/extraction-form .opencode/skills/extraction-form && 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 "extraction-form" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/extraction-form into .opencode/skills/extraction-form/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-form", 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
extraction-form- GitHub stars
- 513
- Token cost
- ~294 tokens
- SKILL.md length
- 111 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when evidence-review has screened includes and needs a schema-aligned extraction table.
- Evidence-review has screened includes and needs a schema-aligned extraction table
- SKILL.md covers Triggers & routing, Inputs, Output and Contract, plus 3 more sections
- Runs Python scripts from its folder
- Tasks that involve Fact-checking and source verification
What it does
Extraction Form is an agent skill from WILLOSCAR/research-units-pipeline-skills. Use when evidence-review has screened includes and needs a schema-aligned extraction table.
Its SKILL.md is about 290 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 Research & Science, covering Fact-checking and source verification. 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
- Evidence-review has screened includes and needs a schema-aligned extraction table
- Tasks that involve Fact-checking and source verification
Example prompts
- “/extraction-form”
Requirements
- Python 3
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.
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
Extraction Form loads about 294 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 111 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 111 words (~294 tokens).
“Transforms screened include rows plus protocol schema into the analysis table used by evidence-review.”
- name
- extraction-form
Files
SKILL.md and 1 other file (scripts) in .codex/skills/extraction-form of WILLOSCAR/research-units-pipeline-skills.
- SKILL.md
- scripts/run.py
Open the folder on GitHubat commit c92912a
Compare with similar skills
Extraction Form 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 |
|---|---|---|---|---|---|---|
| Extraction Form this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~294 | Automated safety check: Pass | None | |
| Perplexity Web Searchdavila7/claude-code-templates | 32k | 12 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Citation Verification GuideGalaxy-Dawn/claude-scholar | 5.7k | 3 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Article Fact Checkerdigoal/blog | 8.6k | — | ~939 | Automated safety check: Pass | GPL-2.0 | |
| Deep Research Agent TeamImbad0202/academic-research-skills | 51k | — | ~13k | Automated safety check: Pass | Custom licence | |
| Docs Grounding Verifiermicrosoft/apm | 4k | — | ~1.9k | Automated safety check: Pass | MIT |
Similar skills
Citation Verification Guide
Galaxy-Dawn/claude-scholar
Reference guidance for checking every citation in academic writing against canonical sources such as DOI, arXiv, CrossRef and Semantic Scholar, to catch fake or wrong references.
Article Fact Checker
digoal/blog
三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim —…
Deep Research Agent Team
Imbad0202/academic-research-skills
Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.
- Official
Docs Grounding Verifier
microsoft/apm
A skill your agent uses to verify CLAIM-LEVEL grounding of a documentation page (or set of pages) against the source code.
Fact Checking
bradygaster/squad
Review and validate claims using counter-hypothesis testing.
More from WILLOSCAR/research-units-pipeline-skills
All 107 skills in this repoAppendix Table Writer
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.
Artifact Contract Auditor
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…
Arxiv Search
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).
Chapter Lead Writer
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.
Chapter Skeleton
WILLOSCAR/research-units-pipeline-skills
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.
Related
Categories
Questions about Extraction Form
What does Extraction Form do?
A skill your agent uses when evidence-review has screened includes and needs a schema-aligned extraction table. Extraction Form is an agent skill from WILLOSCAR/research-units-pipeline-skills. Use when evidence-review has screened includes and needs a schema-aligned extraction table.
When should I use Extraction Form?
Extraction Form fits situations like: evidence-review has screened includes and needs a schema-aligned extraction table; tasks that involve Fact-checking and source verification.
How do I install Extraction Form in Claude Code?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill extraction-form -a claude-code`. Or copy the skill folder (.codex/skills/extraction-form in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/extraction-form in your project. Claude Code loads it when a task matches its description.
How do I install Extraction Form in Codex?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill extraction-form -a codex`. Or copy the skill folder (.codex/skills/extraction-form in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/extraction-form in your project. Codex loads it when a task matches its description.
Can I use Extraction Form 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 extraction-form -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/extraction-form, .gemini/skills/extraction-form, .github/skills/extraction-form and .opencode/skills/extraction-form in your project.
What does Extraction Form need to run?
Going by SKILL.md and its folder, Extraction Form needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Extraction Form 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 Extraction Form 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 Extraction Form use?
No licence was found for Extraction Form or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Extraction Form use?
About 294 tokens (SKILL.md is roughly 1.2k 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 Extraction Form?
Skills that share tags, products or a category with Extraction Form: Perplexity Web Search (davila7/claude-code-templates, 32k stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars), Article Fact Checker (digoal/blog, 8.6k stars) and Deep Research Agent Team (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Extraction Form?
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.