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 233i/agent-skills --skill documentation-and-adrsgit clone --depth 1 https://github.com/233i/agent-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/skills/233i/agent-skills/documentation-and-adrs)<a href="https://agentmods.dev/skills/233i/agent-skills/documentation-and-adrs"><img src="https://agentmods.dev/badge/skills/233i/agent-skills/documentation-and-adrs/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/233i/agent-skills/documentation-and-adrs"><img src="https://agentmods.dev/badge/skills/233i/agent-skills/documentation-and-adrs.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 | $0.00046 | $0.02137 |
| Opus 5 | $0.00023 | $0.01069 |
| Sonnet 5 | $0.00009 | $0.00427 |
| Haiku 4.5 | $0.00005 | $0.00214 |
Grade A, and why
documentation-and-adrs 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.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
文档与 ADR
概览
记录的不只是代码，更要记录决策。最有价值的文档，保存的是 why，也就是做出这个决定时的背景、约束和权衡。代码展示了 what 被构建出来，文档解释了 why it was built this way，以及 what alternatives were considered。这些背景信息，对未来继续维护代码库的人类和 agent 都至关重要。
何时使用
- 做重要的架构决策
- 在多个方案之间做选择
- 新增或修改公开 API
- 发布会改变用户可见行为的功能
- 帮助新成员或新 agent 理解项目
- 当你发现自己在重复解释同一件事时
不适用的场景： 不要为显而易见的代码写文档；不要写只是复述代码内容的注释；也不要给一次性原型写厚重文档。
架构决策记录（ADR）
ADR 用于记录重要技术决策背后的推理过程。它们是你能写出的最高价值文档之一。
什么时候该写 ADR
- 选择框架、库或关键依赖
- 设计数据模型或数据库 schema
- 确定认证策略
- 决定 API 架构，例如 REST、GraphQL 或 tRPC
- 在构建工具、托管平台或基础设施之间做选择
- 任何将来回滚代价很高的决策
ADR 模板
将 ADR 按顺序编号，存放在 docs/decisions/ 中：
# ADR-001: Use PostgreSQL for primary database
## Status
Accepted | Superseded by ADR-XXX | Deprecated
## Date
2025-01-15
## Context
We need a primary database for the task management application. Key requirements:
- Relational data model (users, tasks, teams with relationships)
- ACID transactions for task state changes
- Support for full-text search on task content
- Managed hosting available (for small team, limited ops capacity)
## Decision
Use PostgreSQL with Prisma ORM.
## Alternatives Considered
### MongoDB
- Pros: Flexible schema, easy to start with
- Cons: Our data is inherently relational; would need to manage relationships manually
- Rejected: Relational data in a document store leads to complex joins or data duplication
### SQLite
- Pros: Zero configuration, embedded, fast for reads
- Cons: Limited concurrent write support, no managed hosting for production
- Rejected: Not suitable for multi-user web application in production
### MySQL
- Pros: Mature, widely supported
- Cons: PostgreSQL has better JSON support, full-text search, and ecosystem tooling
- Rejected: PostgreSQL is the better fit for our feature requirements
## Consequences
- Prisma provides type-safe database access and migration management
- We can use PostgreSQL's full-text search instead of adding Elasticsearch
- Team needs PostgreSQL knowledge (standard skill, low risk)
- Hosting on managed service (Supabase, Neon, or RDS)
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 · 279 lines · 46 tokens per session scan A 4afb54efa596
documentation-and-adrs is a skill published in the GitHub repository 233i/agent-skills (6 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 2,137 once invoked, about $0.0002 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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