SKILLEMALL.ai

BD umeng-push-helper

友盟推送后台管理助手(只读查询)。帮助获取应用列表、查询推送数据等。**使用前需用户提供 Cookie**:请访问 https://upush.umeng.com 登录后,在浏览器开发者工具的 Network 标签中复制 Cookie 并提供给系统。Use when working with Umeng push notifications or when user mentions 友盟推送.

ClawHub Agent Skills author: Umeng+ v1.0.0 MIT-0 31 files body ≈ 10 187 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
40/100
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. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 31. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 10187 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 40/100

  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 37 mutating operations with no state check
  • 40Execution cost. Instruction body is 10187 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 445 steps
  • 100Consistency. Name and required fields are in place
  • 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

  • +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
  • -2126 emoji in the instructions: noise for the model
  • -311 of 21 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 199: enough signal without eating the budget
  • +4Structure: 116 headings
  • +3Step-by-step instructions: 445 items
  • +4Has examples (46 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The skill is meant to query Umeng Push data, but it handles live login cookies and API access in ways that are broader and less controlled than its read-only description suggests.
LLM: suspicious (high) · VirusTotal: · 29 May 2026