AC gingiris-geo-audit
🇺🇸 GEO Audit — AI Search Visibility Checker for ChatGPT, Perplexity, Claude & Gemini. 29-point GEO readiness checklist: robots.txt AI crawler access, IndexNow configuration, Schema.org markup validation, content citability scoring, FAQ structure analysis, and AI-friendly content patterns. Get a prioritized fix list to improve AI citation rates. 🇨🇳 GEO 审计工具 — AI 搜索可见性检查器。29 项 GEO 就绪度检查：robots.txt AI 爬虫开放、IndexNow 配置、Schema.org 验证、内容可引用性评分、FAQ 结构分析。输出优先级修复清单。 🇯🇵 GEO監査 — AI検索可視性チェッカー。29項目のGEOレディネスチェック：robots.txt AI クローラーアクセス、IndexNow設定、Schema.org検証、コンテンツ引用可能性スコア、FAQ構造分析。 🇰🇷 GEO 감사 — AI 검색 가시성 체커. 29개 GEO 준비도 점검: robots.txt AI 크롤러 접근, IndexNow 설정, Schema.org 검증, 콘텐츠 인용 가능성 점수, FAQ 구조 분석. Triggers: "GEO audit" | "AI search visibility" | "AI citation" | "Perplexity visibility" | "ChatGPT citation" | "AI crawler" | "IndexNow audit" | "Schema.org check" | "AI-friendly content" | "GEO readiness" | "AI 搜索审计" | "AI 可见性" | "GEO 检查"
As a process C 53/100 · Has gaps — 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: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1147 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)
- +3Description length 945: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 13 example trigger phrases
- +4Structure: 12 headings
- +3Step-by-step instructions: 15 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.