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.
npx skills add aiworkskills/wechat-article-skills --skill aws-wechat-stickergit clone --depth 1 https://github.com/aiworkskills/wechat-article-skillsWrote 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.
[](https://agentmods.dev/skills/aiworkskills/wechat-article-skills/aws-wechat-sticker)<a href="https://agentmods.dev/skills/aiworkskills/wechat-article-skills/aws-wechat-sticker"><img src="https://agentmods.dev/badge/skills/aiworkskills/wechat-article-skills/aws-wechat-sticker/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.
<a href="https://agentmods.dev/skills/aiworkskills/wechat-article-skills/aws-wechat-sticker"><img src="https://agentmods.dev/badge/skills/aiworkskills/wechat-article-skills/aws-wechat-sticker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00173 | $0.02770 |
| Opus 5 | $0.00086 | $0.01385 |
| Sonnet 5 | $0.00035 | $0.00554 |
| Haiku 4.5 | $0.00017 | $0.00277 |
Grade A, and why
aws-wechat-sticker 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
贴图 / 多图推送
贴图 / 多图推送一条龙 —— 构思→生图→图片消息群发，九宫格自动排布、多图打包。
套件说明 · 本 skill 属
aws-wechat-article-*一条龙套件（共 9 个 slug，入口aws-wechat-article-main）。跨 skill 的相对引用依赖同一skills/目录，建议一并clawhub install全套。源码：https://github.com/aiworkskills/wechat-article-skills
能力披露（Capabilities）
本 skill 编排贴图与多图推送，调用同套件的 image_create.py（images）生图；可选调用 publish.py 发布。会把图片 prompt 发给外部图像 API；若走发布路径，会把图片作为 POST body 上传到微信 API。 具体行为：
- 凭证读取：
aws.env的IMAGE_MODEL_API_KEY；走发布时额外读取WECHAT_{N}_APPID/WECHAT_{N}_APPSECRET - 凭证外发：
IMAGE_MODEL_API_KEY以Authorization: Bearer头发送到image_model.base_url外部端点；WECHAT_{N}_APPID/APPSECRET用于换access_token后调用微信 API - 内容外发：图片 prompt 发给图像 API；图片文件（PNG/WEBP）发给微信
material/add_material/draft/add - 文件读：仓库内
.aws-article/config.yaml、本篇article.yaml、imgs/prompts/*.md - 文件写：本篇
imgs/*.{png,webp}、imgs/outline.md、article.yaml状态字段 - shell：
{python} {baseDir}/../aws-wechat-article-images/scripts/image_create.py；可选{python} {baseDir}/../aws-wechat-article-publish/scripts/publish.py（{python}= 本机 Python 3 解释器，见 main SKILL 第 0 步：Windows 用py -3 -X utf8，macOS / Linux 用python3）
配套 skill（informational）
本 skill 属 aws-wechat-article-* 一条龙公众号套件的贴图/多图推送专用分支（入口 aws-wechat-article-main）。工作流中的生图步骤与发布步骤依赖同套件其他 slug 提供的能力。
- 至少需要同时安装
aws-wechat-article-images（用于生图）；若要走发布链路，建议再装aws-wechat-article-publish。 - 套件完整装齐到同一
skills/根目录时，跨 skill 引用都能读到。 - 单独安装本 skill 时，生图/发布相关步骤会在执行阶段遇到缺失文件；本 skill 内的选题规划、图序、风格约定等本地步骤仍可用。
完整 9 slug 清单见 源码仓库。
路由
长文图文（标题+正文+插图+后台发文）→ aws-wechat-article-main；长文内单篇插图 → aws-wechat-article-images。
创作以图片为主的公众号内容：多张图片 + 每张配文，统一风格。
产出目标（先看这个）
- 输入：主题 / 选题卡 / 用户素材图（任选其一）
- 输出：
imgs/（outline + prompts + 图片）与可发布的多图内容 - 风格：整组统一（避免每张图风格漂移）
配置检查 ⛔
任何操作执行前，必须按 首次引导 执行其中的 「检测顺序」。检测通过后才能进行以下操作（或用户明确书面确认「本次不检查」）：
What ships with it
3 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.
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.
- 5d ago Changed 55960f2f9423
- 11d ago First seen · 157 lines · 173 tokens per session scan A 05afed16c9db
aws-wechat-sticker is a skill published in the GitHub repository aiworkskills/wechat-article-skills (589 stars, last pushed today), licensed Apache-2.0. It adds 173 tokens to every session and 2,770 once invoked, about $0.0009 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.
Other skills, from other repositories
article-visuals
A tool for planning and producing article visuals such as cover illustrations, charts, and relationship diagrams. It selects different formats for data, processes, concepts, and real-world objects.
ls-xhs-note
Use when the user wants a complete Xiaohongshu note workflow that can start from a topic and turn it into a source article, a native note, and image assets, or continue from an existing note draft. Supports framework selection, model-native note drafting, and image generation.
scientific-slides
Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and…
infographics
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
paper-2-web
Use when converting academic papers into dissemination assets such as Paper2Web websites, Paper2Video video abstracts, or Paper2Poster conference posters from LaTeX or PDF sources.
short-drama
A production workflow for making multi-episode AI short dramas, covering story planning, character consistency, scripts, generated video shots, voices, sound, subtitles, and final assembly.