SKILLEMALL.ai

BD 明日dmp人群投放

基于明日DMP开放平台API,提供RTQ投放订单管理功能,支持创建、查询、修改投放订单。采用10步标准化工作流程,包含请求类型识别、凭证检查、参数引导、格式校验、参数确认、任务记录等完整流程。适用于精准广告投放、人群包投放、属性定向投放等场景。

ClawHub Agent Skills author: mingri26 v1.0.0 MIT-0 6 files body ≈ 3 606 tokens Open the sourceclawhub.ai analyzed 19 h ago

基于明日DMP开放平台API,提供RTQ投放订单管理功能,支持创建、查询、修改投放订单。采用10步标准化工作流程,包含请求类型识别、凭证检查、参数引导、格式校验、参数确认、任务记录等完整流程。适用于精准广告投放、人群包投放、属性定向投放等场景。

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
39/100
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 39/100

  • 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (明日dmp人群投放) differs from the folder (dmp-activation)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 147 steps
  • 100Execution cost. Instruction body is 3606 tokens

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
  • -240 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 122: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 147 items
  • +4Has examples (26 code blocks)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill is mostly coherent for managing RTQ advertising orders, but it exposes RTQ credentials in console output and plaintext local caches and uses loosely discovered helper code for authenticated API calls.
LLM: suspicious (high) · VirusTotal: · 12 Jun 2026