BD 明日dmp人群洞察
基于明日DMP开放平台API，提供人群洞察分析功能，支持明略洞察（人口属性/兴趣爱好/媒体分析）和合作伙伴洞察（基础标签/地域分布/兴趣偏好/应用偏好/手机偏好/场景偏好/品类偏好），帮助深度理解目标人群特征，优化营销策略。
基于明日DMP开放平台API，提供人群洞察分析功能，支持明略洞察（人口属性/兴趣爱好/媒体分析）和合作伙伴洞察（基础标签/地域分布/兴趣偏好/应用偏好/手机偏好/场景偏好/品类偏好），帮助深度理解目标人群特征，优化营销策略。
As a process D 37/100 · 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.
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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 37/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (明日dmp人群洞察) differs from the folder (dmp-insight)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 70Execution cost. Instruction body is 4789 tokens
- 100Steps. 266 steps
- 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)
- +3Description length 112: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -262 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 36 headings
- +3Step-by-step instructions: 266 items
- +4Has examples (23 code blocks)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.
External checks
ClawHub: suspicious
The skill appears to provide the advertised DMP audience-insight workflow, but it uses sensitive API credentials, dynamically finds and runs another local skill's Python script, and persists business task/result data in ways users should review carefully.
LLM: suspicious (high) · VirusTotal: · 12 Jun 2026