SKILLEMALL.ai

AD wechat-tietu-draft

创建微信公众号贴图类型草稿的自动化工具。专门用于创建简化界面的贴图草稿(只有标题和正文),适合图片为主的内容。使用触发词"发布贴图草稿"、"创建贴图草稿"、"贴图草稿"、"微信公众号贴图"或"贴图类型草稿"激活。提供统一入口脚本(skill_main.py)进行状态感知的全流程管理。

ClawHub Agent Skills author: punkin6 v1.0.0 MIT-0 6 files body ≈ 1 277 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 6. 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")

Process rating: all ten parameters 48/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 70 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1277 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 13 top-level sections: this looks like several domains in one skill

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -227 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 142: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 70 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill appears intended to create WeChat drafts, but it needs Review because it can control a logged-in account, force-kill local processes on a port, and leave sensitive WeChat session details in local files.
LLM: suspicious (high) · VirusTotal: · 29 May 2026