web-extract

web-extract is a skill for Codex from joinwell52-AI/CodeFlowMu-open. It costs 56 tokens per session (774 once invoked), scanned A, original, MIT.

A tool for opening selected webpages and extracting their relevant text, facts, tables, and source links.

In plain words
What is it for?
Use it to read static or JavaScript-driven pages, capture structured tables, preserve headings and canonical URLs, and prepare evidence for later research.
Why use it?
It keeps extracted information traceable to the original page and records gaps such as login walls, missing dates, or incomplete content.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to read static or JavaScript-driven pages, capture structured tables, preserve headings and canonical URLs, and prepare evidence for later research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/joinwell52-ai/codeflowmu-open/web-extract
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 joinwell52-AI/CodeFlowMu-open --skill web-extract
Clone the repo
git clone --depth 1 https://github.com/joinwell52-AI/CodeFlowMu-open

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 web-extract

README.md
[![agentmods](https://agentmods.dev/badge/skills/joinwell52-ai/codeflowmu-open/web-extract/github.svg)](https://agentmods.dev/skills/joinwell52-ai/codeflowmu-open/web-extract)
Your own site
<a href="https://agentmods.dev/skills/joinwell52-ai/codeflowmu-open/web-extract"><img src="https://agentmods.dev/badge/skills/joinwell52-ai/codeflowmu-open/web-extract/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 web-extract

Your own site · 80×15
<a href="https://agentmods.dev/skills/joinwell52-ai/codeflowmu-open/web-extract"><img src="https://agentmods.dev/badge/skills/joinwell52-ai/codeflowmu-open/web-extract.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 774 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 original 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 $0.00056 $0.00774
Opus 5.5 $0.00022 $0.00310
Sonnet 5.5 $0.00011 $0.00155
Haiku 4.5 $0.00006 $0.00077

Measured 2mo ago against content hash 6b49b3b92b40, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

web-extract 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.

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.

skills/web-extract/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Extract

Turn selected webpages into structured, traceable evidence. Preserve the source URL on every extracted item.

Workflow

  1. Open the exact selected URL. Record redirects and use the final canonical URL as source_url when known.
  2. Inspect page title, publisher, publication or update date, and the content area relevant to the question.
  3. Prefer direct page reading or structured extraction for static pages.
  4. Use Playwright or an equivalent browser tool only when content requires JavaScript rendering, interaction, pagination, expansion, or scrolling.
  5. Extract only relevant正文 and preserve headings that give it meaning.
  6. Extract tables as structured rows and columns. Preserve headers, units, notes, and table captions.
  7. Separate page facts from interpretation. Keep exact short excerpts minimal and paraphrase the rest.
  8. Record extraction gaps such as login walls, robots restrictions, missing dates, truncated tables, or inaccessible content.
  9. Define acceptance before extraction. For dynamic pages, use required_texts, min_content_chars, min_tables, or min_structured_items with fail_on_quality=true.
  10. Use table_contains, max_tables, and max_table_rows to keep large comparison pages focused and model-consumable.

Output Contract

{
  "source_url": "https://example.com/final-page",
  "title": "page title",
  "publisher": "source owner or null",
  "published_at": "known date or null",
  "retrieved_at": "retrieval timestamp",
  "content": [
    {
      "heading": "section heading",
      "text": "relevant extracted or faithfully paraphrased content",
      "source_url": "https://example.com/final-page"
    }
  ],
  "tables": [
    {
      "caption": "table caption or null",
      "columns": ["column A", "column B"],
      "rows": [["value A", "value B"]],
      "source_url": "https://example.com/final-page"
    }
  ],
  "extraction_notes": []
}

Dynamic Pages

  • Use Playwright as a low-level extraction tool, not as the research methodology.
  • Perform the minimum interaction required to reveal the relevant content.
  • Prefer wait_for_selector or wait_for_text over fixed sleeps. Use click_texts and auto_scroll only when required.
  • Request screenshot_path when visual evidence is part of acceptance.
  • Do not submit forms, log in, accept permissions, or trigger external side effects unless explicitly authorized.
  • Record the interaction needed to obtain the content.

Read the full file on GitHub · 69 lines

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 First seen · 69 lines · 56 tokens per session scan A 6b49b3b92b40

Subscribe to this mod's changes

web-extract is a skill published in the GitHub repository joinwell52-AI/CodeFlowMu-open (2 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 774 once invoked, about $0.0002 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 2026-08-31.

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