link-reader

link-reader is a skill for Claude Code from nicknisi/claude-plugins. It costs 53 tokens per session (1,045 once invoked), scanned A, original, MIT.

A link-reading skill for Twitter/X posts and articles and Reddit posts. It retrieves content through proxy services when those sites block direct access.

In plain words
What is it for?
Use it when a user provides a Twitter, X, or Reddit URL and wants the post, thread, or article content summarized or displayed.
Why use it?
It lets an agent read supported social-media links without relying on normal page fetching.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sources plugin — 2 skills shipped together

Good fit Use it when a user provides a Twitter, X, or Reddit URL and wants the post, thread, or article content summarized or displayed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nicknisi/claude-plugins/link-reader
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 nicknisi/claude-plugins --skill link-reader
Clone the repo
git clone --depth 1 https://github.com/nicknisi/claude-plugins

Made for: Claude Code.

Or install sources, the plugin that ships this one along with the rest of its 2 skills.

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 link-reader

README.md
[![agentmods](https://agentmods.dev/badge/skills/nicknisi/claude-plugins/link-reader/github.svg)](https://agentmods.dev/skills/nicknisi/claude-plugins/link-reader)
Your own site
<a href="https://agentmods.dev/skills/nicknisi/claude-plugins/link-reader"><img src="https://agentmods.dev/badge/skills/nicknisi/claude-plugins/link-reader/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 link-reader

Your own site · 80×15
<a href="https://agentmods.dev/skills/nicknisi/claude-plugins/link-reader"><img src="https://agentmods.dev/badge/skills/nicknisi/claude-plugins/link-reader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,045 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 $0.00053 $0.01045
Opus 5.5 $0.00021 $0.00418
Sonnet 5.5 $0.00011 $0.00209
Haiku 4.5 $0.00005 $0.00104

Measured 2mo ago against content hash 2743959e2efc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

link-reader 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.

plugins/sources/skills/link-reader/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Read content from URLs that block direct web fetching by routing through proxy APIs.

Supported Platforms

Twitter / X

URL patterns: twitter.com/*/status/*, x.com/*/status/*, twitter.com/*/article/*, x.com/*/article/*

Proxy: FxTwitter API (api.fxtwitter.com)

Steps:

  1. Extract the path after the domain (e.g., /trq212/status/1234567890)
  2. Fetch https://api.fxtwitter.com{path} using WebFetch
  3. Parse the JSON response
  4. Format based on content type (see below)
Regular Tweets

The response JSON has shape: { tweet: { text, author, likes, retweets, ... } }

Format as:

**@{author.screen_name}** ({author.name})

{tweet.text}

{if media.photos: list image URLs}
{if media.videos: list video thumbnail URLs}
{if quote: show quoted tweet inline, indented}

Likes: {likes} · Retweets: {retweets} · Views: {views}
{created_at}
Twitter/X Articles

When tweet.article is present, the tweet is an article (long-form post). The article content uses Draft.js block format.

The article object contains:

  • title — article title
  • cover_image — hero image metadata (use original_img_url)
  • content.blocks[] — array of content blocks
  • content.entityMap — links and media referenced by blocks

Converting blocks to markdown:

Each block has a type and text:

  • unstyled → plain paragraph
  • header-one → # heading
  • header-two → ## heading
  • header-three → ### heading
  • blockquote → > quote
  • code-block → fenced code block
  • unordered-list-item → - list item
  • ordered-list-item → 1. list item
  • atomic → look up in entityMap for embedded media/links

Resolving entity ranges:

Each block may have entityRanges: [{ key, offset, length }]. Look up content.entityMap[key]:

  • If type: "LINK" → wrap the text span in [text](url) using data.url
  • If type: "IMAGE" → insert ![](data.src)

Resolving inline styles:

Each block may have inlineStyleRanges: [{ style, offset, length }]:

Read the full file on GitHub · 146 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 · 146 lines · 53 tokens per session scan A 2743959e2efc

Subscribe to this mod's changes

link-reader is a skill published in the GitHub repository nicknisi/claude-plugins (114 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 1,045 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 2026-08-30.

Related

link-reader compared with skills from other repositories

link-reader next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
link-readernicknisi/claude-pluginsSkill1142mo agoMITA53Claude Code
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99ktodayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79ktodayMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill314k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code