SKILLEMALL.ai

AD viral-title-generator

爆款标题生成器。根据用户输入的内容主题,生成5个不同风格的爆款标题, 适合小红书、抖音、公众号、B站、微博等平台。内置22种标题公式, 自动匹配平台风格,附带点击率预估和发布建议。 当用户提到"爆款标题"、"生成标题"、"起标题"、"写标题"、 "标题优化"、"viral title"、"clickbait"时触发此技能。

ClawHub Agent Skills author: hadderyes v1.0.0 MIT-0 3 files body ≈ 503 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
49/100
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: 3. 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")

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 (viral-title-generator) differs from the folder (catchy-headline-generator)
  • 100Tools and files. No external tools needed
  • 100Steps. 34 steps
  • 100Execution cost. Instruction body is 503 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

  • +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
  • +5Description quotes 2 example trigger phrases
  • +3Description length 162: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a markdown-only Chinese viral headline generator with no code execution, credentials, network access, persistence, or hidden data handling.
LLM: benign (high) · VirusTotal: · 29 May 2026