source-first-layout

source-first-layout is a skill for Claude Code, Codex from DavidLam-oss/obsidian-wechat-converter. It costs 30 tokens per session (213 once invoked), scanned A, original, MIT.

A formatting skill for turning articles into a source-faithful layout for WeChat, a Chinese publishing platform. It preserves text, code, tables, callouts, and nested lists while making small structural improvements.

In plain words
What is it for?
Use it to prepare articles for WeChat previews while keeping the original content and special structures intact.
Why use it?
It reduces the risk that formatting will rewrite the article or expose raw Markdown to readers. It also provides local fallbacks when automated processing fails.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare articles for WeChat previews while keeping the original content and special structures intact.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davidlam-oss/obsidian-wechat-converter/source-first
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 DavidLam-oss/obsidian-wechat-converter --skill source-first
Clone the repo
git clone --depth 1 https://github.com/DavidLam-oss/obsidian-wechat-converter

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 source-first-layout

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidlam-oss/obsidian-wechat-converter/source-first/github.svg)](https://agentmods.dev/skills/davidlam-oss/obsidian-wechat-converter/source-first)
Your own site
<a href="https://agentmods.dev/skills/davidlam-oss/obsidian-wechat-converter/source-first"><img src="https://agentmods.dev/badge/skills/davidlam-oss/obsidian-wechat-converter/source-first/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 source-first-layout

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidlam-oss/obsidian-wechat-converter/source-first"><img src="https://agentmods.dev/badge/skills/davidlam-oss/obsidian-wechat-converter/source-first.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 213 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 $0.00030 $0.00213
Opus 5.5 $0.00012 $0.00085
Sonnet 5.5 $0.00006 $0.00043
Haiku 4.5 $0.00003 $0.00021

Measured 1mo ago against content hash d909e1f4c9c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

source-first-layout 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 1mo 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.

ai-layout-skills/source-first/SKILL.md · 19 lines

What it actually says

Source-First Layout Skill

这个 skill 用于把文章排成“最接近普通预览”的公众号版式。

Guardrails

  • 优先使用 section-block
  • 不重写正文
  • 不默认追加 CTA
  • 不默认加入教程式导航
  • 图片只做轻度上提,不强行手机壳
  • 原文里的 callout、代码块、表格、嵌套列表等特殊结构应尽量保留在对应的 section-block / subsection 中,不要压平成普通段落
  • 公众号可见文本里不能出现裸 Markdown 源码;任务清单 - [ ] / - [x] 必须改为 ☐ / ☑ 文本,或拆成更稳的分组清单
Files

What ships with it

5 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. 1mo ago First seen · 19 lines · 30 tokens per session scan A d909e1f4c9c1

Subscribe to this mod's changes

source-first-layout is a skill published in the GitHub repository DavidLam-oss/obsidian-wechat-converter (348 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 213 once invoked, about $0.0001 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 2026-09-04.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

component-fixtures

Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.

microsoft/vscode · 53 tokens