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-article-assetsgit 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-article-assets)<a href="https://agentmods.dev/skills/aiworkskills/wechat-article-skills/aws-wechat-article-assets"><img src="https://agentmods.dev/badge/skills/aiworkskills/wechat-article-skills/aws-wechat-article-assets/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-article-assets"><img src="https://agentmods.dev/badge/skills/aiworkskills/wechat-article-skills/aws-wechat-article-assets.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 | $0.00258 | $0.02833 |
| Opus 5.5 | $0.00103 | $0.01133 |
| Sonnet 5.5 | $0.00052 | $0.00567 |
| Haiku 4.5 | $0.00026 | $0.00283 |
Grade A, and why
aws-wechat-article-assets 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.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
用户业务资料库与预设（Assets）
业务资料按产品名分目录 — .aws-article/products/{产品名}/ 直挂业务介绍 .md、images/ 存配图（含同名说明 .md）。写涉及用户自身业务的文章/配图前必须先查这里；新生成的业务介绍内容应引导用户保存到这里。预设包合并到 .aws-article/presets/。
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 管理本地业务资料库与预设包，可选从 aiworkskills.cn 域下载 .aws 预设包（ZIP）。
- 凭证：无（但导入
.aws会把包内密钥写进仓库根aws.env，见下） - 网络：可选
https://*.aiworkskills.cn/**/*.aws下载预设包。白名单强制：仅 HTTPS +aiworkskills.cn及其子域，非白名单直接报错退出。--allow-any-host可放宽，调试用 - 文件读：用户指定的本地图片或
.aws文件；引导入库前会ls .aws-article/products/看已有产品名 - 文件写：
.aws-article/products/{产品名}/*.md（业务介绍，AI 用 Write 工具直接落库）.aws-article/products/{产品名}/images/*（图片 + 同名.md，由脚本写）.aws-article/presets/<白名单子目录>/*、.aws-article/downloads/*.aws、.aws-article/tmp/*- 仓库根
aws.env：导入.aws时按映射表增量写入密钥（覆盖现有键前自动备份aws.env.bak.{ts}，stderr 只打印键名不打印值）
- 归档安全：解压
.aws（ZIP）到.aws-article/tmp/。已内置 ZIP slip 防御——逐项校验成员路径，拒绝绝对路径、..段、或解析后指向解压目录外的路径，任一违反立即退出且不写入任何文件 - shell：仅
{python} {baseDir}/scripts/下的product_image_ingest.py、import_presets_aws.py
除 aws.env 外，所有写入都限制在仓库根的 .aws-article/ 内。
单独安装可用：两个脚本都不依赖兄弟 skill，只要有 .aws-article/ 目录就能工作。
三件事
| 能力 | 说明 |
|---|---|
| 业务介绍 .md 入库 | 对话中产出的业务介绍 → products/{产品名}/<文件名>.md（Write 工具直接落库，无脚本） |
| 业务图入库 | 用户业务图 → products/{产品名}/images/ + 同名说明 .md（脚本，--product 必填） |
预设包 .aws |
ZIP（本地文件或 https://aiworkskills.cn/**/*.aws）→ 合并 presets/ 白名单子目录 |
设计意图（必读）⛔
.aws-article/products/{产品名}/ 是用户自家业务（卖货 / 卖软件 / 卖服务 / 自媒体 IP）的资料库——既是 AI 写业务相关内容时的底稿来源，也是 AI 与用户协作产出新介绍时的保存目的地。
.aws-article/products/{产品名}/
├─ 项目介绍.md # 业务介绍 .md 直挂产品根（命名按用户行业：服务介绍.md / 品牌介绍.md…）
├─ (其他业务文档.md)
└─ images/
├─ 配置首页.png
└─ 配置首页.md # 图片说明 .md（同名）
What ships with it
4 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.
- 1mo ago Changed · -81 lines 90539fd73424
- 1mo ago Changed c53259ee1cec
- 1mo ago First seen · 230 lines · 258 tokens per session scan A a2bdaddfd546
aws-wechat-article-assets is a skill published in the GitHub repository aiworkskills/wechat-article-skills (708 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 258 tokens to every session and 2,833 once invoked, about $0.0010 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.
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