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 produce-geo-deliverablesgit 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/produce-geo-deliverables)<a href="https://agentmods.dev/skills/stella-dust/autoxeo-agent-codex-plugin/produce-geo-deliverables"><img src="https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/produce-geo-deliverables/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/produce-geo-deliverables"><img src="https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/produce-geo-deliverables.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 | $0.00074 | $0.00490 |
| Opus 5 | $0.00037 | $0.00245 |
| Sonnet 5 | $0.00015 | $0.00098 |
| Haiku 4.5 | $0.00007 | $0.00049 |
Grade A, and why
produce-geo-deliverables 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 交付物生产
当前 Codex 会话负责写作。输入事实来自 Brand Wiki 和 Evidence；分析建议来自已验证报告。Cloud 不生成内容，脚本不调用模型。
输入门
- 读取
品牌知识库/、冻结问题集、基线/复测摘要和行动计划。 - 建立 claim table：每项事实、source ref、允许表达、禁止外推、有效期。没有来源的商业数字、客户成果和平台结论不得写入成稿。
- 明确受众和决策：管理层需要判断与优先级，运营层需要路线与指标，执行层需要具体 Brief、正文、校验与复测问题。
产出
按请求选择产物，不机械全做：
- 管理摘要：结论、证据强度、风险、下一周期资源；
- 运营报告：平台/问题/来源差距与 30/60/90 天计划；
- 执行包：内容 Brief、官网实体页/FAQ、渠道适配稿、来源补强清单；
- 复测包：冻结问题版本、变更清单、验证假设、窗口和成功/失败门。
每项内容保存到 交付物/<周期>/，同时生成 清单.json，包含输入 hash、source refs、audience、status、reviewer、createdAt 和 retest linkage。运行 scripts/validate-manifest.mjs，再登记最终产物 hash。
规则
- 渠道适配改变结构和语气，不改变事实。
- “建议发布”不等于“已经发布”；外部发布必须由用户另行授权并提供回执。
- 不把竞品差距改写成无法证明的优势，不把假设 ROI 写成真实回报。
- 修改已有文件时保留版本或取得用户明确覆盖授权。
What ships with it
2 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 · 33 lines · 74 tokens per session scan A 9256fceeca59
produce-geo-deliverables is a skill published in the GitHub repository stella-dust/autoxeo-agent-codex-plugin (0 stars, last pushed 15d ago), licensed Apache-2.0. It adds 74 tokens to every session and 490 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 2026-08-31.
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