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 arcasilesgroup/ai-engineering --skill ai-read-docsgit clone --depth 1 https://github.com/arcasilesgroup/ai-engineeringWrote 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/arcasilesgroup/ai-engineering/ai-read-docs)<a href="https://agentmods.dev/skills/arcasilesgroup/ai-engineering/ai-read-docs"><img src="https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-read-docs/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/arcasilesgroup/ai-engineering/ai-read-docs"><img src="https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-read-docs.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 | $0.00159 | $0.01773 |
| Opus 5.5 | $0.00064 | $0.00709 |
| Sonnet 5.5 | $0.00032 | $0.00355 |
| Haiku 4.5 | $0.00016 | $0.00177 |
Grade A, and why
ai-read-docs 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 19d 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.
This is a copy
89% identical to read-the-damn-docs — 38 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ai-read-docs — docs before memory
Do not guess where authoritative docs can answer the question. The most common right move is to web-search for the current official docs, open the relevant pages, and read them before coding. For APIs, versions, provider behavior, config, limits, lifecycle hooks, or security-sensitive flows, ground the answer in what the docs actually say. Prefer local docs, specs, schemas, generated types, and tests for internal contracts.
Docs-First Triggers
Read docs before proceeding when any of these are true:
- The user asks for "latest", "current", "official", "supported", "best practice", "recommended", "today", "now", or "look it up".
- The needed docs are not already in the repo or supplied by the user. Search the web for the official docs rather than hoping model memory is current.
- The task adds, upgrades, configures, or imports a package, SDK, framework, plugin, CLI, model, cloud resource, or provider integration.
- The API is fast-moving or version-sensitive: AI SDKs, OpenAI/Anthropic/Google APIs, Next.js, React, Tailwind, Vite, Nitro, Drizzle, Prisma, Stripe, GitHub, Slack, Notion, browser APIs, deployment platforms, auth libraries, and similar.
- The implementation depends on auth, OAuth scopes, permissions, secrets, webhooks, billing, payments, PII, encryption, data retention, migrations, retries, rate limits, quotas, caching, deploys, or compliance.
- An error mentions deprecation, unknown options, missing exports, invalid config, unsupported fields, changed defaults, or version mismatch.
- A repo has local docs, ADRs, generated schemas, OpenAPI specs, route/action registries, design-system docs, or package-level READMEs that could define the contract.
- The choice is expensive to reverse: public wire formats, database schema, migration strategy, persistent IDs, event names, customer-visible behavior, or external automation contracts.
- You catch yourself about to write "usually", "probably", "I think", "from memory", or code copied from model memory for an external API.
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.
- 19d ago Changed e44ad385a737
- 1mo ago First seen · 149 lines · 159 tokens per session scan A 495e166dd64f
ai-read-docs is a skill published in the GitHub repository arcasilesgroup/ai-engineering (61 stars, last pushed 2d ago), licensed Apache-2.0. It adds 159 tokens to every session and 1,773 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to read-the-damn-docs, differing in 38 lines, and is treated as a copy.
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