SKILLEMALL.ai

BD ticket-monitor

实时监控大麦网已开售演出的余票与售罄状态,在放票、回流票、售罄等变化时通过终端/日志、Webhook(Server酱/企业微信/钉钉/通用)或 Windows 桌面弹窗告警。当用户要监控大麦演出余票、抢票提醒、售罄/回流提醒时使用。

ClawHub Agent Skills author: widoxm v1.0.0 MIT-0 6 files body ≈ 381 tokens Open the sourceclawhub.ai analyzed 3 d ago

实时监控大麦网已开售演出的余票与售罄状态,在放票、回流票、售罄等变化时通过终端/日志、Webhook(Server酱/企业微信/钉钉/通用)或 Windows 桌面弹窗告警。当用户要监控大麦演出余票、抢票提醒、售罄/回流提醒时使用。

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

IntegrationInfrastructuretype 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
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 (web) that frontmatter does not declare
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 381 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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)
  • +3Description length 116: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (3 code blocks)

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

External checks

ClawHub: suspicious
The skill is a coherent ticket-monitoring tool, but it asks users to place a live browser session cookie in configuration to bypass anti-crawling controls without enough safety disclosure.
LLM: suspicious (high) · 30 Aug 2026