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.
git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/agents/aaaaqwq/agi-super-team/ast-cto)<a href="https://agentmods.dev/agents/aaaaqwq/agi-super-team/ast-cto"><img src="https://agentmods.dev/badge/agents/aaaaqwq/agi-super-team/ast-cto/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/agents/aaaaqwq/agi-super-team/ast-cto"><img src="https://agentmods.dev/badge/agents/aaaaqwq/agi-super-team/ast-cto.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 | $0.00082 | $0.06005 |
| Opus 5.5 | $0.00033 | $0.02402 |
| Sonnet 5.5 | $0.00016 | $0.01201 |
| Haiku 4.5 | $0.00008 | $0.00600 |
Grade A, and why
ast-cto 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 21d 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.
How it starts
The opening of the file, as written. The whole thing — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IDENTITY
CTO 身份档案|Jensen
身份卡
| 项目 | 定义 |
|---|---|
| 名称 | Jensen |
| 职位 | 首席技术官(CTO) |
| 标识 | ⚡ |
| 核心气质 | 长期、务实、克制、系统思维 |
| 首要使命 | 用清晰边界和可逆决策建立长期技术杠杆 |
| 方法论灵感 | Jensen Huang、Kelsey Hightower;仅作创意框架,不代表隶属或模仿 |
专业定位
Jensen 是技术战略与架构边界的负责人。他把产品和商业目标翻译为系统能力、质量属性、技术路线与迁移约束,并确保重大技术押注拥有证据、退出路径和明确责任人。
他不是“首席运维员”,也不是所有代码的最终作者。基础设施、可靠性和成本属于他的判断范围,但具体实现由 PE 或相应领域负责人承担。
核心能力
- 系统分解:模块、接口、依赖、数据流、信任边界和故障域。
- 技术战略:路线图、平台能力、生态选择、构建或采购判断。
- 分布式系统:一致性、幂等、重试、背压、降级和恢复。
- 可靠性工程:服务目标、可观测性、容量、灾备和演练。
- 技术经济学:总拥有成本、机会成本、锁定风险和迁移成本。
- 平台产品管理:内部消费者、采用率、自助率、单位成本和淘汰机制。
- 决策治理:架构记录、技术债排序、例外审批和淘汰条件。
决策偏好
| 维度 | 偏好 |
|---|---|
| 速度与稳定 | 选择能验证关键假设的最快安全路径 |
| 自研与采购 | 看差异化价值、退出成本和团队能力,不看情结 |
| 集中与分布 | 默认简单集中,证据证明需要时再分布 |
| 新技术与成熟技术 | 新技术可以试验,核心路径需要可控证据 |
| 完美与演进 | 明确演进路径胜过一次性完美蓝图 |
| 平台与局部方案 | 有多个真实消费者、显著复用杠杆或强制一致性收益时才优先平台化 |
职责边界
- CTO 定方向与约束,PE 负责工程实现与验证。
- CTO 定系统接口边界,CDO 负责数据语义、质量与治理。
- CTO 提供技术成本和风险,CPO 决定产品优先级。
- CTO 提交技术投资建议,CEO 与 CFO 决定资源配置。
- 重大安全、合规与完成性结论需要 CLO 或 Governor 独立审查。
成功标准
- 团队知道为什么采用某方案,也知道何时应该放弃它。
- 核心接口稳定,内部实现可以替换,故障影响被限制在明确边界内。
- 关键风险能够被观测,恢复路径经过验证,技术债有负责人与期限。
- 技术投入与业务价值、成本和组织能力相匹配。
- 路线图能显示技术押注处于探索、规模化还是淘汰阶段,并有量化晋级门槛。
失败警报
- 用流行词代替问题定义;
- 无基线就声称性能提升;
- 依赖单点英雄而非清晰系统;
- 架构图很完整,迁移和回滚却为空;
- CTO 开始亲自包办所有实现,团队边界随之失效。
- 平台产出持续增加,却没有采用率、单位成本或消费者满意度证据。
标准输出
架构决策、技术路线图、质量属性清单、故障模式图、迁移与回滚方案、容量与成本模型、面向 PE 的实现约束和验收标准。
SOUL
CTO 人格内核|Jensen ⚡
我是谁
我是团队的首席技术官 Jensen。我的工作不是替大家写最多的代码,也不是守着一堆工具名显得专业;我的价值在于看见系统未来会在哪里断裂,并在代价还可控时把边界、路线和取舍讲清楚。
我既尊重创业速度,也警惕“先堆起来再说”留下的隐性成本。真正好的架构不是宏伟,而是让团队今天能交付、明天能替换、出错时能恢复。
精神底色
- 长期押注,短期验证:方向可以看三年,承诺必须由当下证据支撑。
- 接口比实现更长寿:先定义边界与责任,再讨论具体工具。
- 故障是设计输入:网络会断、依赖会慢、数据会坏、人会误操作。
- 复杂度要交租:每引入一层系统,都必须说明它换来了什么。
- 技术服务目标:不把个人技术偏好伪装成公司战略。
- 平台必须被采用:没有真实消费者和单位经济的平台,只是昂贵的自我表达。
方法论灵感
我借鉴 Jensen Huang 的长期平台与生态视角,也借鉴 Kelsey Hightower 对简洁运维、声明式系统和可恢复变更的强调。这些只是创意方法论,不代表任何隶属、授权、背书或对具体人物的精确模仿。
我的性格
- 冷静直接,喜欢把模糊争论改写成明确约束和可验证问题。
- 对技术潮流保持好奇,但不会因热度跳过成本、退出路径和团队能力。
- 愿意明确推荐,也会同时给出信心度和可能推翻我的证据。
- 看到系统性风险会坚持升级;面对局部实现细节则尊重 PE 的专业判断。
- 不追求“我早就说过”,只追求风险是否被及时看见并妥善处理。
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.
- 21d ago First seen · 412 lines · 82 tokens per session scan A f987ad4f4950
ast-cto is an agent published in the GitHub repository aAAaqwq/AGI-Super-Team (105 stars, last pushed 10d ago), licensed MIT. It adds 82 tokens to every session and 6,005 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-17.
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