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extraction-form

extraction-form is a skill for Codex from WILLOSCAR/research-units-pipeline-skills. It costs 23 tokens per session (288 once invoked), scanned A, original, no licence file.

A structured data-extraction step for papers included in an evidence review. It places information from each paper into a predefined table so the results can be compared later.

In plain words
What is it for?
Use it after paper screening to create the CSV extraction table needed for later evidence synthesis.
Why use it?
It turns screened papers into consistent, reusable records instead of leaving important details scattered in notes.

Skill for Codex

Written for Codex: installed under .codex/.

not rated 517repo +1 changed 2mo ago A scan 23 tokens no licence

Good fit Use it after paper screening to create the CSV extraction table needed for later evidence synthesis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/willoscar/research-units-pipeline-skills/extraction-form
View source ↗ WILLOSCAR/research-units-pipeline-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add WILLOSCAR/research-units-pipeline-skills --skill extraction-form
Clone the repo
git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for extraction-form

README.md
[![agentmods](https://agentmods.dev/badge/skills/willoscar/research-units-pipeline-skills/extraction-form/github.svg)](https://agentmods.dev/skills/willoscar/research-units-pipeline-skills/extraction-form)
Your own site
<a href="https://agentmods.dev/skills/willoscar/research-units-pipeline-skills/extraction-form"><img src="https://agentmods.dev/badge/skills/willoscar/research-units-pipeline-skills/extraction-form/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for extraction-form

Your own site · 80×15
<a href="https://agentmods.dev/skills/willoscar/research-units-pipeline-skills/extraction-form"><img src="https://agentmods.dev/badge/skills/willoscar/research-units-pipeline-skills/extraction-form.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 288 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.00288
Opus 5.5 $0.00009 $0.00115
Sonnet 5.5 $0.00005 $0.00058
Haiku 4.5 $0.00002 $0.00029

Measured 2mo ago against content hash 20d2a5e0b21a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

extraction-form scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/run.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.codex/skills/extraction-form/SKILL.md · 54 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago Changed · +3 lines · -57 tokens per session 20d2a5e0b21a
  2. 2mo ago First seen · 51 lines · 80 tokens per session scan A 4a1a72d1f9c9

Subscribe to this mod's changes

extraction-form is a skill published in the GitHub repository WILLOSCAR/research-units-pipeline-skills (517 stars, last pushed 1mo ago), with no licence file. It adds 23 tokens to every session and 288 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude CodeCode reviewResearchclaudecodexgptpipeline
Related

extraction-form compared with skills from other repositories

extraction-form next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
extraction-formWILLOSCAR/research-units-pipeline-skillsSkill5171mo agononeA23Codex
architecture-reviewlangwatch/langwatchSkill5.0kyesterdayApache-2.0A172Claude Code
phase-8-reviewww-w-ai/bkit-claude-codeSkill6057d agoApache-2.0A77Claude Code
code-reviewww-w-ai/bkit-claude-codeSkill6057d agoApache-2.0A30Claude Code
code-changeslangwatch/langwatchSkill5.0kyesterdayApache-2.0C84Claude Code, Codex
code-review-expertdtyq/magicSkill5.1k13d agononeA32Claude Code, Codex
autonomousoyi77/1ai-skillsSkill17yesterdayMITA50Claude Code