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 compare-geo-retestgit 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/compare-geo-retest)<a href="https://agentmods.dev/skills/stella-dust/autoxeo-agent-codex-plugin/compare-geo-retest"><img src="https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/compare-geo-retest/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/compare-geo-retest"><img src="https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/compare-geo-retest.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 | $0.00060 | $0.00450 |
| Opus 5 | $0.00030 | $0.00225 |
| Sonnet 5 | $0.00012 | $0.00090 |
| Haiku 4.5 | $0.00006 | $0.00045 |
Grade A, and why
compare-geo-retest 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 10d 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 同题复测分析
复测先证明可比，再讨论变化。当前 Codex 会话解释变化；脚本只核对问题身份和计算差异。
工作流
- 读取基线与复测 dataset/summary。两批必须记录 question set、问题 identity hash、平台、区域/语言、模型/能力版本、采集窗口、方法版本和 Evidence 状态。
- 运行
scripts/compare-retest.mjs <baseline-summary.json> <retest-summary.json> <comparison.json>。若问题集或方法版本不一致，结果必须为not_comparable，不得输出效果结论。 - 分开解释：品牌正文提及变化、推荐变化、首位变化、来源命中变化、问题覆盖变化和平台结构变化。样本失败、平台版本变更和时间窗口差异是限制，不是品牌效果。
- 变化按三类输出：可确认事实、合理解释、待验证假设。任何归因都必须指出还能由什么外部变化解释。
- 生成
分析/复测/<date>-复测分析.md、对比结果.json和下一周期.json。列出保留动作、停止动作、修订内容、未解决问题和下一复测窗口。 - 报告必须明确基线/复测样本数、排除项、可比性判定、Evidence refs 和局限；完成后登记本地产物 hash。
真实性边界
- “同题”意味着稳定问题 identity，不是文本看起来相似。
- 小样本变化不自动代表趋势；不得伪造显著性或 ROI。
- 案例中的正向结果只用于学习报告结构，不能作为当前项目先验。
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.
- 10d ago First seen · 24 lines · 60 tokens per session scan A 8f9dda6bca43
compare-geo-retest is a skill published in the GitHub repository stella-dust/autoxeo-agent-codex-plugin (0 stars, last pushed 14d ago), licensed Apache-2.0. It adds 60 tokens to every session and 450 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.
Other skills, from other repositories
geo-schema
Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup.
meta-tags-optimizer
Optimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media…
press-media-relations
Use when the user asks to "build a media list for my launch", "write a launch press release", or "pitch press under embargo"; produces a three-tier media and analyst list (Tier 1 exclusive candidates, Tier 2 vertical press, Tier 3 communities and newsletters), an embargo pitch timing skeleton keyed to the…
launch-monitor
Use when the user asks to "monitor my launch", "track our Product Hunt / Hacker News ranking", or "watch the launch window"; runs the T-0 to T+30 window watch — pre-launch instrumentation verification (UTM/event checks, the upstream of RAMP P1), HN rank/points/comments polling with a comments-over-points flamewar…
launch-tier-planner
Use when the user asks to "plan my launch tier", "how big should this launch be", or "build a launch risk register with kill criteria"; produces a tier decision (Tier 1 flagship all-channel / Tier 2 targeted / Tier 3 changelog-level), a launch-type declaration (new-product / feature / relaunch / partnership with…
story-bank-builder
Use when the user asks to "build a story bank", "collect our origin and customer stories", or "assemble reusable proof stories for the message"; assembles reusable narrative units — origin, founder, customer, transformation, and proof stories — each tagged to a claims-ledger ID and a message-house pillar, with every…