share-reading

share-reading is a skill for Claude Code from sugarforever/01coder-agent-skills. It costs 83 tokens per session (1,571 once invoked), scanned A, original, MIT.

A guide for drafting social media posts that recommend or discuss an article, tool, reading, or other resource. It can work from a web link, a file, or notes supplied by the user.

In plain words
What is it for?
Use it to prepare posts for X/Twitter, Substack, or 知识星球, a Chinese online community platform. It helps extract key details such as the title, author, date, and main points before drafting several post options.
Why use it?
It turns source material into ready-to-use sharing text without requiring the user to write the summary and choose an angle from scratch. When the purpose is unclear, it asks whether the post should recommend, comment on, or open a discussion about the source.

Skill for Claude Code

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

Part of the 01coder-skills plugin — 23 skills shipped together

not rated 134repo 2mo ago A scan Socket: passSnyk: warnSkillSpector: pass 83 tokens original MIT

Good fit Use it to prepare posts for X/Twitter, Substack, or 知识星球, a Chinese online community platform. It helps extract key details such as the title, author, date, and main points before drafting several post options.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sugarforever/01coder-agent-skills/share-reading
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 sugarforever/01coder-agent-skills --skill share-reading
Clone the repo
git clone --depth 1 https://github.com/sugarforever/01coder-agent-skills

Made for: Claude Code.

Or install 01coder-skills, the plugin that ships this one along with the rest of its 23 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 share-reading

README.md
[![agentmods](https://agentmods.dev/badge/skills/sugarforever/01coder-agent-skills/share-reading.svg)](https://agentmods.dev/skills/sugarforever/01coder-agent-skills/share-reading)
Your own site
<a href="https://agentmods.dev/skills/sugarforever/01coder-agent-skills/share-reading"><img src="https://agentmods.dev/badge/skills/sugarforever/01coder-agent-skills/share-reading.svg" alt="Measured on agentmods" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,571 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
  • Socket pass 18 Mar 2026
  • Snyk warn 7 Mar 2026
  • 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 $0.00083 $0.01571
Opus 5 $0.00042 $0.00785
Sonnet 5 $0.00017 $0.00314
Haiku 4.5 $0.00008 $0.00157

Measured 8d ago against content hash 7df9f361c29d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

share-reading 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 8d 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/share-reading/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Share Reading

Help draft social media posts for sharing valuable readings, articles, tools, or resources. Generates multiple candidate posts with appropriate tone and style, ready for publishing on X, Substack, or 知识星球.

Workflow

Step 1: Process Input

Determine the input type and extract content accordingly:

If input is a URL:

  • Use WebFetch to retrieve the page content
  • Extract: title, author, key points, publication date
  • Preserve the original URL for inclusion in the post

If input is a file path:

  • Use Read to load the file
  • Extract the same metadata from frontmatter or content

If input is direct text/notes:

  • Use the provided content as-is
  • Ask for the source URL if not included

Step 2: Understand Context

Before writing, consider:

  • What makes this worth sharing? (insight, practical value, novelty, controversy)
  • Who would care about this? (developers, AI enthusiasts, general tech audience)
  • What's the user's likely angle? (recommendation, commentary, discussion)

If the intent is unclear, ask briefly:

这篇内容你想从什么角度分享?比如:
- 推荐给大家(觉得很有价值)
- 分享某个观点/发现
- 提出讨论/问题
- 其他想法?

Step 3: Generate Candidates

Produce 2-3 candidate posts with varying approaches. Each candidate should:

  1. Include the source link — always present, naturally placed
  2. Be self-contained — readers should understand the value without clicking
  3. Match the platform tone — see Platform Guidelines below
Candidate Approaches (pick 2-3 that fit)
  • Summary + takeaway: Concise summary with a personal takeaway or opinion
  • Key highlight: Pull out the most striking point or quote, add brief context
  • Question/discussion: Frame a question around the content to spark engagement
  • Practical angle: Focus on actionable value — "if you're doing X, read this because Y"
  • Contrarian/fresh take: Offer a perspective the article didn't cover

Step 4: Present to User

Present candidates clearly labeled, e.g.:

## 候选 1:总结推荐型

{content}

## 候选 2:观点提炼型

{content}

## 候选 3:讨论引导型

{content}

Read the full file on GitHub · 180 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. 8d ago First seen · 180 lines · 83 tokens per session scan A 7df9f361c29d

Subscribe to this mod's changes

share-reading is a skill published in the GitHub repository sugarforever/01coder-agent-skills (134 stars, last pushed 2mo ago), licensed MIT. It adds 83 tokens to every session and 1,571 once invoked, about $0.0004 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 2026-08-30.

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