BD sensors-analytics-doc-gen-2
将神策（Sensors Analytics）元数据管理、人群、标签手册转换为飞书使用说明文档。支持元事件、事件属性、虚拟属性、虚拟事件、维度表、物品属性、人群、标签等功能模块。元数据管理模块需要一次性处理6个手册链接并整合。触发词：生成使用说明、创建手册、文档生成，神策手册。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- 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: 2. 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 49/100
- 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
- 40Consistency. Frontmatter name (sensors-analytics-doc-gen-2) differs from the folder (bianca1227-sensors-analytics-doc-gen-2)
- 100Tools and files. No external tools needed
- 100Steps. 65 steps
- 100Execution cost. Instruction body is 1480 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (4 tags): a typed call is more reliable
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
- -236 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 138: enough signal without eating the budget
- +4Structure: 36 headings
- +3Step-by-step instructions: 65 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.
External checks
ClawHub: clean
This appears to be a transparent repo-local maintainer skill bundle, with powerful but disclosed ClawHub and Convex workflows intended for authorized users.
LLM: benign (medium) · VirusTotal: · 29 May 2026