SKILLEMALL.ai

AC success-churn-recovery

Use when 已成交客户已流失(不续约/停用/被竞品替换/公司解散/合同到期未续/战略转型)——帮销售/CS 判定求救方 vs 借刀方、识别 Champion 政治处境、设计 D-X 倒排计划、内置 30 天联合验证期 Plan B、设 3 个停手信号,把可能赢回的客户救回来。Triggers: '流失挽回', '客户流失', '客户挽留', '赢回', '把客户赢回来', '客户不续约', '被竞品替换', '合同到期未续', '客户停用', '国产化替换', 'churn recovery', 'win-back', 'customer reactivation', 'lost customer recovery'. Do NOT use for churn prediction, renewal prevention (success-renewal-management), or pre-deal lost leads.

ClawHub Agent Skills author: SummerZb v1.0.0 MIT-0 8 files body ≈ 1 289 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Use when 已成交客户已流失(不续约/停用/被竞品替换/公司解散/合同到期未续/战略转型)——帮销售/CS 判定求救方 vs 借刀方、识别 Champion 政治处境、设计 D-X 倒排计划、内置 30 天联合验证期 Plan B、设 3 个停手信号,把可能赢回的客户救回来。Triggers: '流失挽回'…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
57/100
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

    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: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 57/100

    • 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
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 35 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1289 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
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 422: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 35 items
    • +4Reference files are cited in the instructions (7 of 7)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This is a disclosed China-focused B2B customer win-back playbook with no executable code, persistence, or hidden system behavior.
    LLM: benign (high) · VirusTotal: · 18 Sept 2026