SKILLEMALL.ai

BF tencent-ads-assistant

通过腾讯广告官方「妙问」AI问答API,解答腾讯广告(含微信广告、朋友圈广告、视频号广告、微信小店)的营销业务问题。覆盖开户充值、资质认证、广告创建与投放、定向出价、审核规则、素材规范、数据报表、违规处理等全链路场景。当用户咨询腾讯广告业务指导、平台规则、账户操作、投放设置或审核合规问题时触发;即使未明确提及"腾讯广告",只要语境指向腾讯广告产品(如 e.qq.com、微信广告、视频号广告等)也应触发。不适用于其他广告平台(Google Ads、巨量引擎等)的独立问题、本地代码/文件分析、或不涉及腾讯广告平台知识的泛泛营销讨论。触发词:妙问、miaowen、腾讯广告、微信广告、朋友圈广告、视频号广告、微信小店、e.qq.com、广告投放咨询、开户咨询、审核规则等。

ClawHub Agent Skills author: yishuang07 v1.0.2 MIT-0 4 files · 2 scripts body ≈ 1 052 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: assets/miaowen_token_guide.png

ProcedureInfrastructuretype 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
F
31/100
Will not run
References files that are not bundled: assets/miaowen_token_guide.png
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 4. 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")
  • warning missing-ref reference to a missing file: assets/miaowen_token_guide.png

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: assets/miaowen_token_guide.png
  • 0Tools and files. 1 referenced file(s) missing: assets/miaowen_token_guide.png
  • 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 (tencent-ads-assistant) differs from the folder (tencentads-miaowen-qa)
  • 100Steps. 31 steps
  • 100Execution cost. Instruction body is 1052 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 336: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (3 code blocks)
  • +3All 2 scripts are documented

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

External checks

ClawHub: clean
This skill appears to be a disclosed Tencent Ads AI Q&A helper, but users should handle the Miaowen API token carefully.
LLM: benign (high) · VirusTotal: · 29 May 2026