Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add yaojingang/yao-geo-skills --skill yao-geo-panorama-auditgit clone --depth 1 https://github.com/yaojingang/yao-geo-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-panorama-audit)<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-panorama-audit"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-panorama-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-panorama-audit"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-panorama-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00089 | $0.01724 |
| Opus 5 | $0.00044 | $0.00862 |
| Sonnet 5 | $0.00018 | $0.00345 |
| Haiku 4.5 | $0.00009 | $0.00172 |
Grade A, and why
yao-geo-panorama-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- yao-geo-panorama-audit — 86% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Yao GEO Panorama Audit
使用场景
- 项目启动、季度复盘、竞品追赶、投放前评估，或需要先建立 GEO 基线。
- 用户要先从目标品牌官网抓取公开信息，交叉验证品牌实体、产品、页面、内容资产、竞品和外部信源，再输出站内与站外系统方案。
- 面向品牌负责人、增长负责人、GEO 顾问、内容负责人输出机会地图和 P0 优先级。
不适用场景
- 只诊断一个 URL 或页面结构；应改用页面诊断类 skill。
- 只写榜单、对比、科普、标题或旧文改造；应改用内容生产类 skill。
- 只需要第三方问答平台答案表现和趋势监测；应改用监测类 skill。
- 只设计 GEO 效果追踪、归因字段或数据看板；应改用
yao-geo-tracking。 - 已有诊断结论，只需要拆 30/60/90 天执行计划；应改用实施方案类 skill。
必要输入
- 品牌名、官网、产品线、行业、区域、目标用户和业务目标。
- 已知竞品、已有内容清单、核心页面、品牌资料、销售资料和 PR 材料。
- 种子问题、核心关键词、客户咨询记录、历史 SEO 词库、站内搜索数据。
- 可选：GSC、GA、百度统计、CMS、CRM 线索、第三方舆情和媒体稿。
语言与命名约束
- Skill 名称必须遵守
yao-geo-xxx规范；本 skill 固定为yao-geo-panorama-audit。 - 默认输出语言为中文简体；报告正文、表头、字段名、状态值、判断标签和模块名称都应使用中文简体。
- 保留品牌名、产品名、平台名、URL、专有名词和用户英文素材，避免误译。
- 如用户明确要求双语或英文版本，先完成中文简体主版，再生成对应语言版本。
必读资料
references/skill-method.mdreferences/research-foundation.mdreferences/official-site-evidence.mdreferences/geo-quality-model.mdreferences/quality-gates.mdreferences/artifact-layout.md
执行流程
- 先按
research-foundation.md建立诊断口径：GEO 全景诊断从官网事实源出发，以官网抓取、断言级核验、公开信源交叉验证和站内/站外机会地图为主线。 - 抓取并归档目标品牌官网和官方入口：主页、产品页、方案页、价格页、案例页、文档页、帮助中心、博客、新闻稿、关于页、联系页和 sitemap。
- 建立品牌实体档案，统一品牌名、别名、产品、服务、资质、客户、案例、价格、渠道、地域、适用场景和不适用边界。
- 对官网断言做交叉验证：优先用官方二级来源、帮助文档、投资者资料、公开客户案例、媒体报道、百科、社区、行业报告和已授权资料核验；无法核验的内容标为待确认。
- 生成用户问题覆盖矩阵，覆盖推荐、比较、替代、教程、价格、风险、真实性、购买决策和场景解决，用来检查官网是否能回答这些问题。
- 补全 12 个诊断域，详见
official-site-evidence.md。 - 按统一 GEO 特征模型评分：语义密度、结构规范性、可引用性、权威信号、可读性、鲁棒性、新颖性、跨域贡献，并增加完整性评分。
- 输出机会地图，必须拆成站内方案和站外方案：站内包括页面重构、事实卡、FAQ、结构化摘要、内链、Schema、内容补齐；站外包括媒体、百科、公众号/视频号、社区、行业报告、合作伙伴、案例证据和第三方背书。
输出契约
GEO 全景诊断报告方法依据与评分口径权威参考映射官网抓取与事实交叉验证表官网抓取覆盖、实体档案、产品服务与商业信息地图用户问题覆盖矩阵技术可抓取与结构化数据诊断GEO 机会地图与优先级矩阵站内系统方案站外证据建设方案风险、假设与待确认项页面与内容资产修复清单- 默认四格式交付：Word（
.docx）、PDF（.pdf）、HTML（.html或完整 HTML 包）、Markdown（.md）。
校验清单
What ships with it
30 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/interface.yaml 1.2 KB
- evals/expected_artifacts.json 2.4 KB
- evals/quality_cases.json 2.8 KB
- evals/trigger_cases.json 1.2 KB
- examples/hubspot-cn-panorama/build_example.py 22 KB runs code
- examples/hubspot-cn-panorama/hubspot-cn-panorama-audit.docx 50 KB
- examples/hubspot-cn-panorama/hubspot-cn-panorama-audit.html 32 KB
- examples/hubspot-cn-panorama/hubspot-cn-panorama-audit.md 22 KB
- examples/hubspot-cn-panorama/hubspot-cn-panorama-audit.pdf 882 KB
- examples/hubspot-cn-panorama/README.md 716 B
- examples/hubspot-cn-panorama/review-notes.md 2.1 KB
- examples/lingxu-synthetic-panorama/build_example.py 50 KB runs code
- examples/lingxu-synthetic-panorama/lingxu-panorama-audit.docx 49 KB
- examples/lingxu-synthetic-panorama/lingxu-panorama-audit.html 28 KB
- examples/lingxu-synthetic-panorama/lingxu-panorama-audit.md 18 KB
- examples/lingxu-synthetic-panorama/lingxu-panorama-audit.pdf 840 KB
- examples/lingxu-synthetic-panorama/README.md 575 B
- examples/lingxu-synthetic-panorama/review-notes.md 2.1 KB
- examples/README.md 1.6 KB
- manifest.json 1005 B
- references/artifact-layout.md 5.5 KB
- references/geo-quality-model.md 2.8 KB
- references/official-site-evidence.md 7.0 KB
- references/quality-gates.md 4.3 KB
- references/research-foundation.md 5.8 KB
- references/skill-method.md 5.9 KB
- reports/artifact-design-profile.md 1.7 KB
- reports/output-risk-profile.md 1.3 KB
- reports/reference-scan.md 2.8 KB
- templates/brief-template.md 2.0 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 102 lines · 89 tokens per session scan A 4423897f9909
yao-geo-panorama-audit is a skill published in the GitHub repository yaojingang/yao-geo-skills (742 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 1,724 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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