wechat-tech-writer

wechat-tech-writer is a skill for Claude Code from Dirtytrii/codex-skills. It costs 69 tokens per session (3,820 once invoked), scanned A, original, no licence file.

A Chinese technical-writing skill that searches for source material, rewrites it, and produces public-education articles for WeChat Official Accounts.

In plain words
What is it for?
It is for creating Chinese explainers about AI models, GitHub open-source tools, and other technology topics.
Why use it?
It combines research and explanation so the writer does not have to gather technical information and reshape it into an accessible article separately.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit It is for creating Chinese explainers about AI models, GitHub open-source tools, and other technology topics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dirtytrii/codex-skills/wechat-tech-writer
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 Dirtytrii/codex-skills --skill wechat-tech-writer
Clone the repo
git clone --depth 1 https://github.com/Dirtytrii/codex-skills

Made for: Claude Code.

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 wechat-tech-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/dirtytrii/codex-skills/wechat-tech-writer.svg)](https://agentmods.dev/skills/dirtytrii/codex-skills/wechat-tech-writer)
Your own site
<a href="https://agentmods.dev/skills/dirtytrii/codex-skills/wechat-tech-writer"><img src="https://agentmods.dev/badge/skills/dirtytrii/codex-skills/wechat-tech-writer.svg" alt="Measured on agentmods" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,820 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 unknown 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 $0.00069 $0.03820
Opus 5 $0.00034 $0.01910
Sonnet 5 $0.00014 $0.00764
Haiku 4.5 $0.00007 $0.00382

Measured 8d ago against content hash 4f697e92fd62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

wechat-tech-writer 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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/generate_cover_optimized.py, scripts/generate_image.py, scripts/generate_temp.py), 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-skills-content/skills/wechat-tech-writer/SKILL.md · 433 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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 · 433 lines · 69 tokens per session scan A 4f697e92fd62

Subscribe to this mod's changes

wechat-tech-writer is a skill published in the GitHub repository Dirtytrii/codex-skills (11 stars, last pushed yesterday), with no licence file. It adds 69 tokens to every session and 3,820 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

skill-sanitizer

Pre-share leak scanner for Claude Code skills (or any folder). Scans BEFORE you publish for secrets (API keys, tokens, private keys, .env values, high-entropy strings), PII (emails/phones), local machine paths (C:\Users\ , /home/ , /Users/ , UNC, internal hostnames), and client/proper-noun names from a LOCAL private…

animaresearch/skills · 193 tokens

public-skill-launcher

Package an AI skill, prompt workflow, or internal operating habit into a public-ready release with a catchy hook, safe redaction, useful examples, demo tasks, README copy, and launch messaging. Use when preparing a skill for GitHub, social sharing, marketplace submission, documentation, or community feedback.

animaresearch/skills · 66 tokens

knowledge-gravity-lab

Analyze folders of Markdown/text research notes, Obsidian vaults, paper cards, invention notes, or memory exports as a practical knowledge map. Use when asked to find center topics, noisy or low-signal notes, possible contamination, overgrown topic groups, orphan notes, cleanup actions, or a useful public…

animaresearch/skills · 74 tokens

super-lab-lite

Lightweight multi-agent research orchestration using one coordinator, three domain leads, and three lightweight research agents. Use for medium-size research, market scans, competitor comparisons, prior-art style exploration, report planning, and any task that benefits from parallel domain decomposition without…

animaresearch/skills · 64 tokens

dirty-skill

A deliberately leaky demo skill used to show what skill-sanitizer catches before you publish. Do not ship this.

animaresearch/skills · 28 tokens

cangjie-skill

A process for turning a book, course, podcast, interview, long video, or other long material into reusable instructions for an AI agent. It extracts methods and principles, checks them, and packages them as skills.

kangarooking/cangjie-skill · 143 tokens