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 instructions/haaaiawd/sequential-thinking-skills/agents-mdgit clone --depth 1 https://github.com/Haaaiawd/Sequential-thinking-skillsWrote 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/instructions/haaaiawd/sequential-thinking-skills/agents-md)<a href="https://agentmods.dev/instructions/haaaiawd/sequential-thinking-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/haaaiawd/sequential-thinking-skills/agents-md.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 | $0.01736 | $0.01736 |
| Opus 5 | $0.00868 | $0.00868 |
| Sonnet 5 | $0.00347 | $0.00347 |
| Haiku 4.5 | $0.00174 | $0.00174 |
Grade A, and why
Sequential-thinking-skills AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - AI 协作协议
"如果你正在阅读此文档，你就是那个智能体 (The Intelligence)。"
这个文件是你的锚点 (Anchor)。它定义了项目的法则、领地的地图，以及记忆协议。 当你唤醒（开始新会话）时，请首先阅读此文件。
🧠 30秒恢复协议 (Quick Recovery)
当你开始新会话或感到"迷失"时，立即执行:
- 读取根目录的 AGENTS.md → 获取项目地图
- 查看下方"当前状态" → 找到最新架构版本
- 读取
.anws/v{N}/05_TASKS.md→ 了解当前待办 - 开始工作
🗺️ 地图 (领地感知)
以下是这个项目的组织方式：
| 路径 | 描述 | 访问协议 |
|---|---|---|
src/ |
实现层。实际的代码库。 | 通过 Task 读/写。 |
.anws/ |
统一架构根目录。包含版本化架构状态与升级记录。 | 只读(旧版) / 写一次(新版) / changelog 由 CLI 维护。 |
.anws/v{N}/ |
当前真理。最新的架构定义。 | 永远寻找最大的 v{N}。 |
.anws/changelog/ |
升级记录。anws update 生成的变更记录。 |
由 CLI 自动维护，请勿删除。 |
target-specific workflow projection |
工作流。/genesis, /blueprint 等。 |
读取当前 target 对应的原生投影文件。 |
target-specific skill projection |
技能库。原子能力。 | 调用当前 target 对应的原生投影文件。 |
.nexus-map/ |
知识库。代码库结构映射。 | 由 nexus-mapper 生成。 |
🛠️ 工作流注册表
[!IMPORTANT] 工作流优先原则：当任务匹配某个工作流，或你判断当前任务明显符合、基本符合、甚至只是疑似符合某个工作流的适用场景时，都必须先读取相应文件，并严格遵循其中的步骤执行。工作流是经过精心设计的协议，而非可选参考。
触发流程：
- 用户提及工作流名称，或你判断当前任务明显符合、基本符合、甚至只是疑似符合某个工作流的适用场景时，都必须先读取相应文件
- 立即读取 相应工作流文件
- 严格遵循工作流中的步骤执行
- 在检查点暂停等待用户确认
| 工作流 | 触发时机 | 产出 |
|---|---|---|
/quickstart |
新用户入口 / 不知道从哪开始 | 编排其他工作流 |
/genesis |
新项目 / 重大重构 | PRD, Architecture, ADRs |
/probe |
变更前 / 接手项目 | .anws/v{N}/00_PROBE_REPORT.md |
/design-system |
genesis 后 | 04_SYSTEM_DESIGN/*.md |
/blueprint |
genesis 后 | 05_TASKS.md + AGENTS.md 初始 Wave |
/change |
微调已有任务 | 更新 TASKS + SYSTEM_DESIGN (仅修改) + CHANGELOG |
/explore |
调研时 | 探索报告 |
/challenge |
决策前质疑 | 07_CHALLENGE_REPORT.md (含问题总览目录) |
/forge |
编码执行 | 代码 + 更新 AGENTS.md Wave 块 |
/craft |
创建工作流/技能/提示词 | Workflow / Skill / Prompt 文档 |
/upgrade |
anws update 后做升级编排 |
判断 Minor / Major，并路由到 /change 或 /genesis |
📜 宪法 (The Constitution)
- 版本即法律: 不"修补"架构文档，只"演进"。变更必须创建新版本。
- 显式上下文: 决策写入 ADR，不留在"聊天记忆"里。
- 交叉验证: 编码前对照
05_TASKS.md。我在做计划好的事吗？ - 美学: 文档应该是美的。善用 Markdown 和 Emoji。
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 · 143 lines · 1,736 tokens per session scan A 714bead92179
Sequential-thinking-skills AGENTS.md is an instructions file published in the GitHub repository Haaaiawd/Sequential-thinking-skills (6 stars, last pushed 5mo ago), licensed MIT. It adds 1,736 tokens to every session, about $0.0087 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.
Other instructions, from other repositories
FDEOps AGENTS.md
AGENTS.md instructions for suboss87/FDEOps, covering agents.md - working in the fdeops repository, if you are helping use fdeops in an engagement, if you are contributing to this repository and boundaries.
platform-skills copilot-instructions.md
Copilot instructions for nitinjain999/platform-skills, covering platform engineering instructions for github copilot, version: 1.40.0, source: https://github.com/nitinjain999/platform-skills, response contract and core principles.
design-skills CLAUDE.md
Instructions for cuellarfr/design-skills, covering claude.md, what this repo is, skill architecture, plugin packaging and the 10 skills.
core-ai CLAUDE.md
Claude Code instructions for helius-labs/core-ai, covering core ai, compiler-managed sync, mcp server pin, skill versioning and router surface maintenance.
platform-skills CLAUDE.md
Claude Code instructions for nitinjain999/platform-skills, covering platform skills - skill development guide, philosophy, production-first engineering, progressive disclosure and multi-domain coherence.
core-ai AGENTS.md
AGENTS.md instructions for helius-labs/core-ai, covering core ai — agent instructions, repository overview, mcp server setup, api key setup and public tool surface.