agent-reach-wrapper

agent-reach-wrapper is a skill for Claude Code, Codex from Stijnman/grok-custom-skills. It costs 138 tokens per session (1,204 once invoked), scanned A, original, MIT.

A wrapper around Agent-Reach, a tool that fetches information from websites, YouTube, RSS feeds, GitHub, and several social platforms. It selects an available method for reading the requested source.

In plain words
What is it for?
Use it to read web pages, obtain YouTube transcripts, parse RSS or Atom feeds, inspect public GitHub content, and access supported platform content when the required backend is available.
Why use it?
It gives an agent one way to request information from different online services without handling each service separately. It also documents limits around logins, cookies, and unauthorized access.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to read web pages, obtain YouTube transcripts, parse RSS or Atom feeds, inspect public GitHub content, and access supported platform content when the required backend is available.

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Install with agentmods
npx agentmods add skills/stijnman/grok-custom-skills/agent-reach-wrapper
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 Stijnman/grok-custom-skills --skill agent-reach-wrapper
Clone the repo
git clone --depth 1 https://github.com/Stijnman/grok-custom-skills

Made for: Claude Code, 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 agent-reach-wrapper

README.md
[![agentmods](https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/agent-reach-wrapper/github.svg)](https://agentmods.dev/skills/stijnman/grok-custom-skills/agent-reach-wrapper)
Your own site
<a href="https://agentmods.dev/skills/stijnman/grok-custom-skills/agent-reach-wrapper"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/agent-reach-wrapper/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 agent-reach-wrapper

Your own site · 80×15
<a href="https://agentmods.dev/skills/stijnman/grok-custom-skills/agent-reach-wrapper"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/agent-reach-wrapper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 138 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,204 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00138 $0.01204
Opus 5 $0.00069 $0.00602
Sonnet 5 $0.00028 $0.00241
Haiku 4.5 $0.00014 $0.00120

Measured 11d ago against content hash dff822e2a555, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

agent-reach-wrapper 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/doctor-check.sh), 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.

.grok/skills/agent-reach-wrapper/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Reach Wrapper

Capability layer over Panniantong/Agent-Reach. Routes a request to the current working backend. You do not scrape those platforms yourself when the CLI is healthy.

Do not

  • Do not treat this as a Vinted tool. Vinted stays VintedListingAnalyzer + humanization-stealth-browsing.
  • Do not run agent-reach install --system unless the user explicitly says to modify the machine.
  • Do not put cookies, tokens, or ~/.agent-reach/config.yaml into git, Drive, or this skill directory.
  • Do not use a main personal account for X / Reddit / IG / Xiaohongshu cookie backends. Throwaways only.
  • Do not pip install agent-reach from PyPI. That package is not this project. Install from the GitHub repo only.

Routing

Need Platform key Default path Fallback if CLI missing
Read a page web Jina Reader via Reach browse_page or https://r.jina.ai/URL
YouTube talk track youtube yt-dlp via Reach browse_page on the watch page; no fake transcript
RSS / Atom rss feedparser via Reach fetch + parse if available
Public GitHub github gh via Reach connected GitHub tools
Bilibili bilibili bili-cli say blocked; do not invent
Semantic web search search Exa via mcporter web_search
X / Twitter twitter twitter-cli / OpenCLI built-in x_keyword_search / x_semantic_search first
Reddit reddit OpenCLI / rdt-cli browse_page / search; anonymous API is dead
Facebook / Instagram / Xiaohongshu / LinkedIn deep facebook / instagram / xhs / linkedin OpenCLI or MCP after user login public page via Jina / browse only

Workflow

  1. Decide platform from the user request. If mixed (e.g. "summarize this YT and search X"), split into parallel calls.
  2. Probe CLI
    command -v agent-reach && agent-reach doctor
    
    If doctor fails or the binary is missing, use the fallback column. Do not pretend Reach is installed.
  3. If doctor shows the channel red, report the active/failed backend and the repair hint. Do not silently switch to a banned-account cookie flow.
  4. Execute the smallest Reach command that answers the question. Prefer read/search over "configure".
  5. Return clean structured output
    • source URL
    • platform + backend used (or fallback name)
    • extracted text / items
    • what failed
  6. Retry with exp backoff + jitter on transient failures — 10s / 30s / 60s ±25%. After 3 failures, stop and report.

Read the full file on GitHub · 110 lines

Files

What ships with it

2 files 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. 11d ago First seen · 110 lines · 138 tokens per session scan A dff822e2a555

Subscribe to this mod's changes

agent-reach-wrapper is a skill published in the GitHub repository Stijnman/grok-custom-skills (9 stars, last pushed yesterday), licensed MIT. It adds 138 tokens to every session and 1,204 once invoked, about $0.0007 per session on Opus 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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