fetch

fetch is a skill for Codex from ucsahinn/codex-chef. It costs 75 tokens per session (1,278 once invoked), scanned A, original, MIT.

A workflow for rebuilding a supplied website so its visible design, responsive layouts, interactions, assets, and observable behavior closely match the reference.

In plain words
What is it for?
Use it to reconstruct an authorized website from a URL, including its pages, responsive behavior, interactions, and permitted visual assets.
Why use it?
It gives a bounded process for inspecting a public website and reproducing the experience without accessing private data or protected systems.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex; $skill-name invocation.

Good fit Use it to reconstruct an authorized website from a URL, including its pages, responsive behavior, interactions, and permitted visual assets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ucsahinn/codex-chef/fetch
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 ucsahinn/codex-chef --skill fetch
Clone the repo
git clone --depth 1 https://github.com/ucsahinn/codex-chef

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 fetch

README.md
[![agentmods](https://agentmods.dev/badge/skills/ucsahinn/codex-chef/fetch/github.svg)](https://agentmods.dev/skills/ucsahinn/codex-chef/fetch)
Your own site
<a href="https://agentmods.dev/skills/ucsahinn/codex-chef/fetch"><img src="https://agentmods.dev/badge/skills/ucsahinn/codex-chef/fetch/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 fetch

Your own site · 80×15
<a href="https://agentmods.dev/skills/ucsahinn/codex-chef/fetch"><img src="https://agentmods.dev/badge/skills/ucsahinn/codex-chef/fetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,278 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 $0.00075 $0.01278
Opus 5.5 $0.00030 $0.00511
Sonnet 5.5 $0.00015 $0.00256
Haiku 4.5 $0.00007 $0.00128

Measured 2mo ago against content hash aa1aa7b13e64, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fetch 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/validate-fetch-report.mjs), 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.

plugins/codex-chef-workflows/skills/fetch/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fetch

Reconstruct the observable website experience in the current workspace. A URL is a reference target, not permission to extract private data, server source, credentials, sessions, or protected assets.

Invocation

  • Use $fetch <url> when Codex Chef installed the managed direct skill.
  • Use $codex-chef-workflows:fetch <url> when invoking the installed plugin package directly.
  • Keep implicit invocation disabled on both surfaces. A normal request that happens to mention fetching, scraping, or the JavaScript Fetch API must not activate this workflow.

Input Contract

  • Require a valid https:// reference URL. Allow http://, localhost, an intranet host, or a non-standard port only when the user explicitly names that exact target and the active network policy permits it.
  • Use the current workspace as the output target when it contains one clear application. If several apps or no safe output location exists, ask only for the target path.
  • Treat a bare public URL as authority only for bounded, read-only inspection of public, unauthenticated pages and a local reconstruction with inert auth and lawful assets. Exact protected branding, private content, or publication still requires the user to confirm ownership or permission.
  • Require explicit authorization before inspecting authenticated or private routes, using a test account, calling a non-public API, or writing outside the current workspace.
  • Read safety-boundaries.md before any browser or network inspection.

Workflow

  1. Route the work
    • Inspect repo instructions, scripts, stack, and dirty state first.
    • Keep implementation in the main thread. Use code_mapper, design_reviewer, frontend_verifier, or security_auditor only for independent mapping, visual review, browser verification, or auth risk.
    • Prefer a real browser through Playwright or Chrome DevTools. Raw HTTP downloads are supplemental because they miss client-rendered states.
  2. Capture the reference
    • Follow capture-protocol.md.
    • Establish passive request and destination guards before the first navigation. If the selected browser tool cannot do that, stop as blocked.
    • Inventory routes, viewports, states, navigation, forms, assets, fonts, motion, console behavior, and sanitized request shapes.
    • Capture source screenshots before implementation. Do not use remembered appearance as evidence.
  3. Build the reconstruction
    • Follow implementation-protocol.md.
    • Preserve the existing stack and conventions when a project already exists. Do not install or upgrade dependencies without approval.
    • Implement working local behavior, responsive states, loading, empty, error, focus, hover, and disabled states that were observed.
    • Replace unavailable server behavior with a clearly local fixture or mock. Never silently proxy a clone to a production mutation endpoint.
  4. Verify in a real browser
    • Follow verification-rubric.md.
    • Compare source and local screenshots at matching viewport, route, scroll position, and UI state. Exercise navigation and interactions.
    • Fix material mismatches and rerun the narrowest relevant checks.
  5. Prove completion

Read the full file on GitHub · 119 lines

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 · 119 lines · 75 tokens per session scan A aa1aa7b13e64

Subscribe to this mod's changes

fetch is a skill published in the GitHub repository ucsahinn/codex-chef (6 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session and 1,278 once invoked, about $0.0003 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.

Related

fetch compared with skills from other repositories

fetch next to 6 skills from other repositories
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