BD 多平台内容检测&安全改写
多平台内容检测&安全改写技能。对任意中文文本执行三维一体检查：广告法合规（绝对化用语、虚假宣传、特殊品类限制等）、主流平台内容规范（微信公众号、小红书、抖音、快手、知乎、B站、微博、百家号、头条号、搜狐号）、去AI化（基于Wikipedia完整模式清单的30+种AI写作特征检测）。每次检查前强制执行实时联网搜索，获取最新的广告法动态、平台政策变更、新增敏感词和监管执法案例，确保检查依据不过时。检查完成后输出可直接复制发布的合规版本，已按目标平台格式适配（标题字数、排版、标签、emoji等），用户无需二次修改。本技能不读取用户本地文件，不向第三方发送用户内容；联网搜索仅用于获取最新政策信息。触发词：内容检查、广告法检查、去AI化。
多平台内容检测&安全改写技能。对任意中文文本执行三维一体检查：广告法合规（绝对化用语、虚假宣传、特殊品类限制等）、主流平台内容规范（微信公众号、小红书、抖音、快手、知乎、B站、微博、百家号、头条号、搜狐号）、去AI化（基于Wikipedia完整模式清单的30+种AI写作特征检测）。每次检查前强制执行实时联网搜索，获取…
As a process D 49/100 · 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.
- 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: 7. 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") - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "agent_created"
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 (多平台内容检测&安全改写) differs from the folder (multi-platform-content-check)
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 156 steps
- 100Execution cost. Instruction body is 2152 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 318: enough signal without eating the budget
- +4Structure: 44 headings
- +3Step-by-step instructions: 156 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.