AC intent-filter-claw
潜在意向筛选虾 — 从公域评论、帖子、私信中识别真实购买意向，生成高意向销售线索并推送给销售团队。 当以下情况时使用此 Skill： (1) 需要从评论区、帖子、私信中挖掘有购买意向的潜在客户 (2) 需要对用户提供的评论数据（CSV/文本）进行意向识别和评分 (3) 需要在竞品帖子下找到对竞品不满意、正在寻找替代品的潜在客户 (4) 需要将高意向线索整理成表格或推送到飞书 (5) 用户提到"意向筛选"、"潜在客户"、"公域挖掘"、"评论区挖掘"、"求推荐"、"求链接"、"购买意向"、"线索筛选"、"语义识别"、"意向识别"、"销售线索"、"私信筛选"、"竞品挖掘"、"高意向用户"、"流量转化"
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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-whendescription 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. 16 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 330 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 302: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 16 items
- +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: 75.