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AC seo-content-optimizer

文章写得不错但搜不到？问题在SEO。从关键词策略到标题优化到Schema标记，全方位诊断你的内容在搜索引擎的表现。适配百度/Google/Bing，连最新的AI搜索(SGE/AI Overview)也能优化。 触发词：SEO优化、搜索引擎优化、关键词优化、文章SEO、网站排名、meta标签、TDK优化、百度SEO、Google SEO、SEO诊断、关键词密度、内容优化、页面SEO、On-page SEO、Schema标记、结构化数据、AI搜索优化、SGE优化、语音搜索优化、Core Web Vitals、E-E-A-T 排除：技术SEO、外链建设、付费广告(SEM)、网站架构、社交媒体营销

ClawHub Agent Skills author: qqyougitcom v1.3.0 MIT-0 3 files body ≈ 594 tokens Open the sourceclawhub.ai↗ analyzed 32 h ago

文章写得不错但搜不到？问题在SEO。从关键词策略到标题优化到Schema标记，全方位诊断你的内容在搜索引擎的表现。适配百度/Google/Bing，连最新的AI搜索(SGE/AI Overview)也能优化。…

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureMarketingtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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: 0. 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 57/100

  • 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 (seo-content-optimizer) differs from the folder (mimo-seo-content-optimizer)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 42 steps
  • 100Execution cost. Instruction body is 594 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 298: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 42 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
The artifacts are coherent ClawHub/Convex workflow skills with disclosed high-impact admin and migration actions gated by user confirmation, auth, dry runs, and audit expectations.
LLM: benign (high) · VirusTotal: · 18 Jun 2026