SKILLEMALL.ai

AC competitor-monitor-claw

实时竞品监控虾 — 持续追踪竞品价格、评价与上新动作的情报哨兵。当以下情况时使用此 Skill:(1) 需要监控竞品价格变动并设置预警阈值;(2) 需要追踪竞品上新动态;(3) 需要分析竞品评价口碑(好评/差评关键词);(4) 需要检测竞品促销活动;(5) 需要生成竞品周报/月报;(6) 用户提到"竞品监控"、"对手价格"、"竞品上新"、"竞品评价"、"价格预警"、"竞品分析"、"对手动态"、"市场情报"、"竞品报告"、"价格对比"、"竞品促销"、"对手口碑"、"竞争态势"、"盯盘"、"竞品追踪"。

ClawHub Agent Skills author: Ricky v1.0.0 MIT-0 6 files body ≈ 443 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
53/100
Has gaps
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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 443 tokens
  • 100Running it twice. No mutating operations

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 252: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill is a disclosed competitor-monitoring helper that stores local price history and can send visible Feishu alerts, with no evidence of hidden or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026