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 manage-brand-wikigit 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/manage-brand-wiki)<a href="https://agentmods.dev/skills/stella-dust/autoxeo-agent-codex-plugin/manage-brand-wiki"><img src="https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/manage-brand-wiki/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/manage-brand-wiki"><img src="https://agentmods.dev/badge/skills/stella-dust/autoxeo-agent-codex-plugin/manage-brand-wiki.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 | $0.00063 | $0.00532 |
| Opus 5 | $0.00032 | $0.00266 |
| Sonnet 5 | $0.00013 | $0.00106 |
| Haiku 4.5 | $0.00006 | $0.00053 |
Grade A, and why
manage-brand-wiki 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
Brand Wiki 管理
Brand Wiki 是当前工作区中的本地知识源，由当前 Codex 会话维护。Cloud 不生成 Wiki，插件不调用第二个模型。每条可引用事实必须绑定来源，无法证明的内容进入“禁止推断”或“待核验”。
工作流
- 调用
get_workspace_context，检查品牌知识库/状态。工作区未配置时停止，并请用户先在本地工作台选择位置、确认创建。读取用户明确授权的文件，不越过工作区边界。 - 建立资料清单并分级：A 官方公开资料，C 用户授权的一手材料，B 可复核的公开行为观察。A 与 C 冲突时列出冲突，不自行选择方便的版本。
- 更新
品牌知识库/索引.md：品牌实体、产品服务、目标受众、场景、差异化事实、来源索引和禁止推断。 - 为品牌、产品、服务区域、创始人或关键能力建立
品牌知识库/实体/*.md。记录规范名、别名、关系、事实、适用范围、有效期和 source refs。 - 更新
品牌知识库/证据/登记册.json。每个 source 包含稳定 ID、层级、标题、URI 或相对路径、发布日期/访问日期、适用事实和限制。 - 运行
scripts/validate-wiki.mjs <workspace-root>。修复断裂引用、重复 source ID 和缺少的核心章节。 - 输出健康摘要：实体覆盖、已引用事实、冲突、过期项、缺口和下一步。数字只能来自验证脚本。
规则
- 不把营销口号、第三方转载或 Codex 推断写成已证实事实。
- 不写入 API Key、账号 Token、客户隐私或未授权原始材料。
- 更新既有事实时保留变更原因；事实变化不静默覆盖旧来源。
- Wiki 可以在未连接 Cloud 时工作；Cloud 项目名和品牌名只作上下文，不自动成为事实。
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 · 26 lines · 63 tokens per session scan A d206c422643c
manage-brand-wiki 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 63 tokens to every session and 532 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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