run-official-monitoring

run-official-monitoring is a skill for Codex from stella-dust/autoxeo-agent-codex-plugin. It costs 72 tokens per session (439 once invoked), scanned A, original, Apache-2.0.

A workflow for collecting China AI platform GEO data through the AutoXEO Cloud official API. GEO here means measuring how generative AI systems represent or surface a subject.

In plain words
What is it for?
It is for preparing and starting approved baseline or repeat collections, monitoring jobs, recovering failed items, and saving the returned analysis dataset.
Why use it?
It keeps account checks, platform readiness, credits, approval, job status, evidence, and failures in separate states, so simulated or unauthorised results are not treated as official data.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit It is for preparing and starting approved baseline or repeat collections, monitoring jobs, recovering failed items, and saving the returned analysis dataset.

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Install with agentmods
npx agentmods add skills/stella-dust/autoxeo-agent-codex-plugin/run-official-monitoring
Install

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.

Any agent
npx skills add stella-dust/autoxeo-agent-codex-plugin --skill run-official-monitoring
Clone the repo
git clone --depth 1 https://github.com/stella-dust/autoxeo-agent-codex-plugin

Made for: Codex.

Wrote 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.

agentmods badge for run-official-monitoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/run-official-monitoring/github.svg)](https://agentmods.dev/skills/stella-dust/autoxeo-agent-codex-plugin/run-official-monitoring)
Your own site
<a href="https://agentmods.dev/skills/stella-dust/autoxeo-agent-codex-plugin/run-official-monitoring"><img src="https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/run-official-monitoring/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.

agentmods 80×15 button for run-official-monitoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/stella-dust/autoxeo-agent-codex-plugin/run-official-monitoring"><img src="https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/run-official-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 439 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.00439
Opus 5 $0.00036 $0.00219
Sonnet 5 $0.00014 $0.00088
Haiku 4.5 $0.00007 $0.00044

Measured 11d ago against content hash ce7d5d2f053d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

run-official-monitoring 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.

skills/run-official-monitoring/SKILL.md · 22 lines

What it actually says

官方平台 API 采集

采集是唯一由 Cloud 执行的 GEO 核心环节。Codex 负责编排和解释,不用自身回答冒充平台结果;插件不包含浏览器采集或模型模拟。

执行

  1. 调用 connection_statusget_workspace_context。确认 AutoXEO 账号、Cloud 项目、冻结问题集和任务 Credit 上限。
  2. 只选择 Cloud 明确标为 ready 的官方 API 能力。configuration_requiredeligibility_requiredunavailable 都必须停止,不得降级到模拟。
  3. 调用 prepare_official_collection。向用户展示平台、问题版本、Evidence 门、搜索能力、预估 Credit、最高预算、失败计费规则和票据过期时间。
  4. 只有用户明确批准后才调用 start_official_collection,并为同一用户动作生成和复用稳定 idempotencyKey
  5. 记录 jobIdreceiptIdprovenance 和预留 Credit。使用 get_collection_job 间隔查询,不紧密轮询。
  6. 完成后调用 get_analysis_dataset。保存到 采集数据/数据集/<job-id>.json,不改写返回的确定性指标。

状态语言

“票据已准备”“Job 已创建”“Provider 已返回”“Evidence 门已通过”“Credit 已结算”是五个不同状态。只有 official_api 且 Evidence 门通过的数据可进入 observed 分析。部分失败只重试失败的问题/平台;取消不删除已产生的 Evidence。

Files

What ships with it

1 file 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.

Changes

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.

  1. 11d ago First seen · 22 lines · 72 tokens per session scan A ce7d5d2f053d

Subscribe to this mod's changes

run-official-monitoring 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 72 tokens to every session and 439 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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