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 stella-dust/autoxeo-agent-codex-plugin --skill analyze-geo-baselinegit clone --depth 1 https://github.com/stella-dust/autoxeo-agent-codex-pluginWrote 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/stella-dust/autoxeo-agent-codex-plugin/analyze-geo-baseline)<a href="https://agentmods.dev/skills/stella-dust/autoxeo-agent-codex-plugin/analyze-geo-baseline"><img src="https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/analyze-geo-baseline/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/stella-dust/autoxeo-agent-codex-plugin/analyze-geo-baseline"><img src="https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/analyze-geo-baseline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00067 | $0.00445 |
| Opus 5 | $0.00034 | $0.00222 |
| Sonnet 5 | $0.00013 | $0.00089 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
analyze-geo-baseline 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 11d 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.
What it actually says
GEO 基线分析
确定性脚本计算事实，当前 Codex 会话解释原因、优先级和行动。不得修改脚本产出的指标，不得让脚本调用任何模型。
工作流
- 调用
get_analysis_dataset或读取采集数据/数据集/*.json。验证provenance=official_api、方法版本、问题集 ID、采集时间、平台和 Evidence refs。 - 运行
scripts/compute-baseline.mjs <dataset.json> <summary.json>。指标至少包括品牌提及率 VR、推荐率 RR、首位推荐率 FRR、来源命中率 SR、问题覆盖 QFO 和平台样本数。 - 逐层诊断：平台差异、问题类型、品牌提及规则、竞品关系、来源域、答案正文提及与引用来源的差异。
- 每条关键结论绑定 summary 字段或 Evidence ref。Codex 推断必须写为“解释”或“待验证假设”。
- 生成
分析/基线/<date>-基线分析.md、基线摘要.json、行动计划.json。报告包括管理摘要、范围方法、事实、解释、问题清单、90 天行动、限制与复测协议。 - 运行
scripts/verify-analysis.mjs <report.md>，再用register_local_artifact核验文件 hash。
禁止事项
- 不把正文品牌提及、来源引用、推荐排序混成一个“曝光率”。
- 不对失败/缺失回答补零后假装完整样本。
- 不把案例参考中的客户数字、平台结论或 ROI 搬到当前项目。
What ships with it
3 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.
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.
- 11d ago First seen · 24 lines · 67 tokens per session scan A 26568118e366
analyze-geo-baseline is a skill published in the GitHub repository stella-dust/autoxeo-agent-codex-plugin (0 stars, last pushed 16d ago), licensed Apache-2.0. It adds 67 tokens to every session and 445 once invoked, about $0.0003 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 2026-08-31.
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