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AWS Wechat Article Review · aiworkskills | DecimalAI

marketingby aiworkskills

AWS Wechat Article Review

aiworkskills/aws-wechat-article-review

Source aiworkskills/wechat-article-skills ↗License Apache-2.0

公众号审稿｜公众号校对｜敏感词检测｜内容合规 — 公众号发布前合规审查：敏感词扫描、错别字检测、政治合规、平台规范校验，一次性输出修改清单。面向公众号编辑、自媒体作者、合规岗。触发词：「审稿」「审核」「校对」「合规」「敏感词」「错别字」「稿子检查一下」「稿子帮我看看」「稿子写完了」「文章检查一下」「检查下有没有问题」「能不能发」「发布前检查」。需要多环节串联（写+审+排+配图+发）请走 aws-wechat-article-main。

SkillScore82Maintained

Automatic

Writing & Editing pack

Last verified 9/19/2026

What it changes

Passed 16 of 20 test cases with the skill, and 6 of 20 without it.

Without skill32%

With skill82%

Checks it passed that the model alone missed

Classifies default AI style diagnosis items as 🟡 建议修改.
Declines to perform HTML layout rendering or CSS inline styling.
Formats the profile embed placeholder string as {embed:profile:AI 科技前沿}.

and 9 more in the full report

11 fixed7 passed either way4 still failing0 broke

Pass-rate lift: +50 pp
Tokens: +76%
Agent turns: 0%
Response time: -44%

Model gemini-3.6-flashMeasured 9/19/2026v318 of 22 cases passed with skill · 20 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/aiworkskills-aws-wechat-article-review/SKILL.md https://app.decimal.ai/s/aiworkskills-aws-wechat-article-review/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add aiworkskills-aws-wechat-article-review, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/aiworkskills-aws-wechat-article-review/ and pins it in .decimal/skills.lock

decimalai skills add aiworkskills-aws-wechat-article-review

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/aiworkskills-aws-wechat-article-review/SKILL.md https://app.decimal.ai/s/aiworkskills-aws-wechat-article-review/SKILL.md

Raw file: /s/aiworkskills-aws-wechat-article-review/SKILL.md ↗ · machine-readable summary at /s/aiworkskills-aws-wechat-article-review.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

配置文件 `article.yaml` 中的 `embeds.related_articles.manual` 列表中一共配置了 5 篇往期推荐文章名称。在生成文末 `{embed:link:…}` 占位符时，最多可以写入几条？

What was checked, without and with the skill
Checked	Without skill	With skill
Caps the generated manual related article embed placeholders at a maximum of 3 items.	Missed	Passed

case-10 · gemini-3.6-flash · 9/19/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md151 lines6 files

审稿与合规

公众号发布前合规守门员 —— 敏感词、错别字、平台规范一次性筛查，输出可执行修改清单。

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 为纯本地规则/清单审稿，零网络、零凭证。

凭证：无
网络：无
文件读：.aws-article/config.yaml、.aws-article/writing-spec.md（如有）、.aws-article/presets/review-rules.yaml（如有）、本篇 draft.md / article.html / article.yaml / imgs/
文件写：本篇 draft-stripped.md（中间产物）、article.md（定稿）、review.md
shell：只在第 5 步调 {python} .../aws-wechat-article-writing/scripts/write.py strip-citations，第 2 步调同一脚本的 check 子命令。两者都是纯本地正则/计数，不联网、不读凭证、不调 LLM。

往期推荐链接的自动补齐由 publish skill 处理（那里才有微信 API 凭证与 getdraft.py）；本 skill 只按已有 manual 排占位符，不直接调任何网络脚本。

路由

「能不能发」若含代为发布、或从稿到发出整条收尾 → aws-wechat-article-main。

两种审稿模式

模式	时机	检查重点
内容审	writing 之后、formatting 之前	内容质量、写作规范、敏感词、配图标记
终审	publish 之前	排版完整性、图片就位、发布要素齐全

自动识别：有 article.html → 终审模式，否则 → 内容审模式。

工作流

审稿进度：
- [ ] 第1步：环境检查 + 本篇约束与规范
- [ ] 第2步：逐项检查（含机器自检）
- [ ] 第3步：输出审稿结果
- [ ] 第4步：修改循环 🔄
- [ ] 第5步：⛔ 剥离引用标注 → 文末 embed → 保存 article.md 定稿

Track record

Benchmark

16 / 20

test cases passed, vs 6 / 20 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 9/17/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

aiworkskills / wechat-article-skills

skills/aws-wechat-article-review/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 9/17/2026Version v3Bundled 5 files

More skills from the same source and nearby in the registry, with their headline benchmark lift.