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 commands/tencentcloudbase/cloudbase-ai-toolkit/specgit clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-ToolkitWhat 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 | $0.00000 | $0.00681 |
| Opus 5 | $0.00000 | $0.00341 |
| Sonnet 5 | $0.00000 | $0.00136 |
| Haiku 4.5 | $0.00000 | $0.00068 |
Grade A, and why
spec 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 yesterday.
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
/spec - 强制使用完整 spec 流程
命令说明
强制使用完整 spec 流程进行开发，适用于新功能开发、复杂架构设计、多模块集成、涉及数据库/UI设计等场景。
工作流程
0. 重要提醒
请注意！必须遵守以下的规则，每个环节完成后都需要由我进行确认后才可进行下一个环节；
1. 需求澄清
如果你判断我的输入提出的是一个新需求，可以按照下面的标准软件工程的方式独立开展工作，需要时才向我询问，可以采用 interactiveDialog 工具来收集
2. 需求分析
每当我输入新的需求的时候，为了规范需求质量和验收标准，必须首先会搞清楚问题和需求，然后再进入下一阶段
3. 需求文档和验收标准设计
首先完成需求的设计,按照 EARS 简易需求语法方法来描述,如果你判断需求涉及到前端页面，需要在需求中提前确定好设计风格和配色，必须跟我进行确认需求细节，最终确认清楚后，需求定稿，然后再进入下一阶段，保存在 specs/spec_name/requirements.md 中，参考格式如下
# 需求文档
## 介绍
需求描述
## 需求
### 需求 1 - 需求名称
**用户故事：** 用户故事内容
#### 验收标准
1. 采用 ERAS 描述的子句 While <可选前置条件>, when <可选触发器>, the <系统名称> shall <系统响应>，例如 When 选择"静音"时，笔记本电脑应当抑制所有音频输出。
2. ...
...
4. 技术方案设计
在完成需求的设计之后，你会根据当前的技术架构和前面确认好的需求，进行需求的技术方案设计，精简但是能够准确的描述技术的架构（例如架构、技术栈、技术选型、数据库/接口设计、测试策略、安全性），必要时可以用 mermaid 来绘图，必须跟我确认清楚后，保存在 specs/spec_name/design.md 中，然后再进入下一阶段
5. 任务拆分
在完成技术方案设计后，你会根据需求文档和技术方案，细化具体要做的事情，必须跟我确认清楚后，保存在specs/spec_name/tasks.md 中, 然后再进入下一阶段，开始正式执行任务，同时需要及时更新任务的状态，执行的时候尽可能独立自主运行，保证效率和质量
任务参考格式如下
# 实施计划
- [ ] 1. 任务信息
- 具体要做的事情
- ...
- _需求: 相关的需求点的编号
适用场景
- 新功能开发
- 复杂架构设计
- 多模块集成
- 涉及数据库/UI设计
- 需要详细规划和文档的项目
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.
- yesterday First seen · 63 lines · 0 tokens per session scan A 814edc7ca59f
spec is a command published in the GitHub repository TencentCloudBase/CloudBase-AI-Toolkit (1,087 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 681 tokens. 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 2026-08-30.
Other commands, from other repositories
release
Walk the llmwiki release process step by step.
cost-tracker
Track session costs, understand token spend, and get optimization tips.
t800-onboard
Для чата с новичками. Показывает, что настроено в Cursor (global + local), и что умеет отдел T-800.
scorecard
Run a repeatable weekly health check. Score Brain OS out of 100. Compare week-over-week.
dev-planner
Generate or update DEV-PLAN.md with phased development plan from Product-Spec.md.
generate-role
Resolve a need to a domain-expert role (existing, new leaf, or new parent) and draft it via the AUTHORING.md pipeline, opening a PR.