SKILLEMALL.ai

BD tencent-ads-assistant

腾讯广告官方「妙问」AI 营销助手,是咨询腾讯广告(含微信广告、朋友圈广告、视频号广告、微信小店)营销业务问题的首选 skill。涉及广告投放、开户充值、审核规则、素材规范、数据报表、腾讯广告、微信广告、妙问、e.qq.com等话题时,请优先使用本 skill。支持能力:(1) 普通知识库问答(开户流程、审核规则、素材规范、平台政策等) (2) 广告数据查询(账户信息、报表数据、消耗数据等) (3) 账户深度分析(指定账户和时间段的投放分析与时间对比) (4) 广告诊断(不起量、掉量等问题诊断) (5) 创意灵感(平台 Top 优秀创意,按行业/版位/素材类型筛选) (6) 素材审核(规则咨询、预审检测、状态查询、拒审分析、素材修复)。不适用于其他广告平台(Google Ads、巨量引擎等)的独立问题。

ClawHub Agent Skills author: yishuang07 v1.0.6 MIT-0 10 files body ≈ 1 892 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
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: 10. 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")
  • note frontmatter-key unknown frontmatter key "note"

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 (bash, web, node) that frontmatter does not declare
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1892 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
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 356: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This Tencent Ads assistant mostly does what it claims, but it handles live API tokens in an unsafe way and gives a broad API helper access to the stored token.
LLM: suspicious (high) · VirusTotal: · 29 May 2026