SKILLEMALL.ai

BD majia-huiyuan

会员数据顾问·马甲实战版(majia-huiyuan)。当核心交付物是会员指标口径、RFM、复购/留存/流失公式、核销率、客单价、会员分层/分群、人群圈选、标签体系、CDP、OneID 身份打通、Cohort、CRM/私域数据分析、会员数仓(DIM/DWD/DWS/ADS)、SQL/DDL、字段词典、数据质量、会员看板或观远 BI 复刻时使用。用户提出召回、提频、防流失、流失预警、新客转化、渠道迁移(外卖↔堂食)、导购任务分派等会员运营动作时,动作背后的数据依据(圈谁/何时/力度/派给谁/怎么回收)由本 Skill 负责;动作的执行内容(朋友圈、群发、欢迎语、社群 SOP、企微操作)与私域整盘经营诊断走 majia-siyu——同一动作的两半,先数据后执行。全部数值为模拟数据,仅结构与口径可引用。

ClawHub Agent Skills author: 超级马甲 v1.4.1 MIT-0 80 files body ≈ 1 229 tokens Open the sourceclawhub.ai analyzed 2 d ago

会员数据顾问·马甲实战版(majia-huiyuan)。当核心交付物是会员指标口径、RFM、复购/留存/流失公式、核销率、客单价、会员分层/分群、人群圈选、标签体系、CDP、OneID…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubSales and CRMData and analyticsAI and agentstype 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
46/100
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: 77. 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 46/100

  • 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
  • 60Tools and files. Uses tools (git) that frontmatter does not declare
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1229 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
  • +2Single-language instructions
  • +3Description length 353: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 16 items
  • +1License stated

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

External checks

ClawHub: clean
This skill is a disclosed membership-data reference package with simulated data, SQL examples, and validation tests, and I found no hidden or mismatched behavior.
LLM: benign (high) · VirusTotal: · 9 Aug 2026