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 agentmods add skills/x-rayluan/awesome-ceo-stack/weekly-reportnpx skills add X-RayLuan/awesome-ceo-stack --skill weekly-reportgit clone --depth 1 https://github.com/X-RayLuan/awesome-ceo-stackWrote 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/x-rayluan/awesome-ceo-stack/weekly-report)<a href="https://agentmods.dev/skills/x-rayluan/awesome-ceo-stack/weekly-report"><img src="https://agentmods.dev/badge/skills/x-rayluan/awesome-ceo-stack/weekly-report.svg" alt="Measured on agentmods" 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 | $0.00091 | $0.02869 |
| Opus 5 | $0.00046 | $0.01435 |
| Sonnet 5 | $0.00018 | $0.00574 |
| Haiku 4.5 | $0.00009 | $0.00287 |
Grade A, and why
weekly-report 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 5d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 5d ago First seen · 224 lines · 91 tokens per session scan A badf7e37c09f
weekly-report is a skill published in the GitHub repository X-RayLuan/awesome-ceo-stack (8 stars, last pushed 1mo ago), with no licence file. It adds 91 tokens to every session and 2,869 once invoked, about $0.0005 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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项目级上下文工程框架：通过 PROJECT / REQUIREMENTS / ROADMAP / STATE 四层文档 为每个任务建立结构化上下文，控制 token 预算，防止上下文腐烂， 确保跨会话连续性。与 context-lifecycle 的 L0-L3 层互补。.
agent-patterns-catalog
AI Agent 架构模式目录。提供 ReAct、Multi-Agent Conversation、Multi-Agent Workflow、 RAG Agent、Tool-Use Agent、Autonomous Agent 六种核心模式的参考架构、组件拓扑、 数据流、设计决策和框架无关的最佳实践。供 agent-dev-workshop Phase 2 调用。.
error-experience-library
错误经验库：自动捕获错误模式、根因和解决方案，支持查询和反馈更新。 当遇到 build error、runtime error 或需要查找历史错误解决方案时使用。.