BD majia-siyu
私域专家团 · 马甲实战版（majia-siyu）。处理朋友圈、群发、欢迎语、企微引流、私域诊断、整盘搭建、厂商选型/竞品/报价/市场地图、客户档案与任务后导航。涉及厂商、产品、价格、功能、案例、政策、平台规则或公司存续时，必须实时联网核验并附证据；不能联网时不得输出具体动态事实。 边界：若核心交付物是会员指标口径、RFM、复购/留存公式、SQL/DDL、数仓、字段词典、数据质量或会员看板，不要触发本 Skill，改用 majia-huiyuan；召回/提频/防流失的数据依据也在那边。模糊的私域经营问题先由本入口诊断；只有出现“怎么算、口径、SQL、表、看板、数据核验”等明确数据信号才转 majia-huiyuan。
私域专家团 · 马甲实战版（majia-siyu）。处理朋友圈、群发、欢迎语、企微引流、私域诊断、整盘搭建、厂商选型/竞品/报价/市场地图、客户档案与任务后导航。涉及厂商、产品、价格、功能、案例、政策、平台规则或公司存续时，必须实时联网核验并附证据；不能联网时不得输出具体动态事实。…
As a process D 46/100 · Unfinished process — 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: 40. 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 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 (python) that frontmatter does not declare
- 100Steps. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 883 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
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 312: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 24 items
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.