SKILLEMALL.ai

BF aws-wechat-sticker

公众号贴图|九宫格|多图推送|图片消息|表情包 — 贴图与多图推送:从创意构思、AI 生图到公众号图片消息发布全流程,含九宫格自动排布、多图压缩、组图打包。面向公众号运营、自媒体、IP 账号。触发词:「贴图」「多图推送」「发组图」「图片消息」「九宫格」「做一组图」「图片帖子」「发几张图」「不写正文发图」「只发图不写字」。是文章内配图/封面请走 aws-wechat-article-images;需要多环节串联(写+审+排+配图+发)请走 aws-wechat-article-main。

ClawHub Agent Skills author: marsatwechat v1.0.24 MIT-0 5 files body ≈ 1 400 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 38/100 · Will not run — References files that are not bundled: ../aws-wechat-article-main/SKILL.md, ../aws-wechat-article-images/SKILL.md, ../aws-wechat-article-main/references/first-time-setup.md

ProcedureAWSInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: ../aws-wechat-article-main/SKILL.md, ../aws-wechat-article-images/SKILL.md, ../aws-wechat-article-main/references/first-time-setup.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: ../aws-wechat-article-main/SKILL.md
  • warning missing-ref reference to a missing file: ../aws-wechat-article-images/SKILL.md
  • warning missing-ref reference to a missing file: ../aws-wechat-article-main/references/first-time-setup.md
  • warning missing-ref reference to a missing file: ../aws-wechat-article-publish/SKILL.md
  • warning missing-ref reference to a missing file: ../aws-wechat-article-images/references/image-styles/
  • warning missing-ref reference to a missing file: ../aws-wechat-article-images/references/image-styles/prompt-construction.md
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "url"

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: ../aws-wechat-article-main/SKILL.md, ../aws-wechat-article-images/SKILL.md, ../aws-wechat-article-main/references/first-time-setup.md
  • 0Tools and files. 6 referenced file(s) missing: ../aws-wechat-article-main/SKILL.md, ../aws-wechat-article-images/SKILL.md, ../aws-wechat-article-main/references/first-time-setup.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 9 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1400 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 245: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This skill is a disclosed WeChat multi-image publishing workflow that uses expected image-generation and WeChat publishing credentials, with no evidence of hidden persistence or unrelated data access.
LLM: benign (high) · VirusTotal: · 6 Sept 2026