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 | $0.04445 |
| Opus 5 | $0.00129 | $0.02223 |
| Sonnet 5 | $0.00052 | $0.00889 |
| Haiku 4.5 | $0.00026 | $0.00445 |
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 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 — 230 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 格式)。
- 凭证:无
- 网络:可选
https://*.aiworkskills.cn/**/*.aws下载预设包。白名单强制:仅 HTTPS +aiworkskills.cn子域,非白名单会直接报错退出。调试参数--allow-any-host可放宽但不推荐生产使用 - 文件读:用户指定的本地图片路径或
.aws文件(脚本边界);AI 在引导业务介绍入库时会先ls .aws-article/products/看已有产品名 - 文件写:仓库内
.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/<子目录>/*(预设文件)、.aws-article/downloads/*.aws(下载缓存)、.aws-article/tmp/*(解压临时目录);导入.aws时仓库根aws.env会按映射表增量写入密钥字段(覆盖现有键前自动备份为aws.env.bak.{ts},stderr 仅打印键名不打印值) - 归档:解压
.aws扩展名的 ZIP 到.aws-article/tmp/,按白名单子目录合并到.aws-article/presets/。已内置 ZIP slip 防御:逐项校验 ZIP 成员路径,拒绝含绝对路径、..段或解析后指向解压目录外的路径,任一违反立即退出不写入任何文件 - shell:仅
{python} {baseDir}/scripts/product_image_ingest.py、import_presets_aws.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)
所有写入限制在仓库根下的 .aws-article/ 内。
配套 skill(informational)
本 skill 是 aws-wechat-article-* 一条龙公众号套件的业务资料库与预设环节(入口 aws-wechat-article-main)。
- 单独安装可用:业务图入库 /
.aws预设导入两个脚本都不依赖兄弟 skill,只要.aws-article/目录就能工作。 - 其他 skill 读取
.aws-article/products/{产品名}/(业务介绍 +images/)和.aws-article/presets/里由本 skill 管理的资源,属套件协同;需结合写稿/配图/排版等 skill 使用。
完整 9 slug 清单见 源码仓库。
| 能力 | 说明 |
|---|---|
| 业务介绍 .md 入库 | AI 与用户对话产出业务介绍内容时,引导/响应保存到 products/{产品名}/<文件名>.md(用 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/(脚本 --product 必填),供其它 skill 引用 |
预设包 .aws |
ZIP 包(本地文件或 https://aiworkskills.cn/**/*.aws URL)→ 合并 presets/ 子目录;config.yaml 见下 |
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 c53259ee1cec
- 11d 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 (589 stars, last pushed today), licensed Apache-2.0. It adds 258 tokens to every session and 4,445 once invoked, about $0.0013 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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