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 attentiondotnet/davidondrej-skills --skill brain-to-docsgit clone --depth 1 https://github.com/attentiondotnet/davidondrej-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/attentiondotnet/davidondrej-skills/brain-to-docs)<a href="https://agentmods.dev/skills/attentiondotnet/davidondrej-skills/brain-to-docs"><img src="https://agentmods.dev/badge/skills/attentiondotnet/davidondrej-skills/brain-to-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/attentiondotnet/davidondrej-skills/brain-to-docs"><img src="https://agentmods.dev/badge/skills/attentiondotnet/davidondrej-skills/brain-to-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 | $0.00068 | $0.00433 |
| Opus 5 | $0.00034 | $0.00217 |
| Sonnet 5 | $0.00014 | $0.00087 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
brain-to-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 11d 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.
What it actually says
brain-to-docs
The whole purpose: extract as much of the user's taste, judgment, knowledge, vision,
preferences, and decisions as possible into text — saved as clear, concise
markdown docs for the project. README holds the vision; docs/adr/ holds the
decisions.
The loop
- Check docs first, every time. Read
docs/adr/(andREADME.md) before doing anything — other agents and people add/edit ADRs constantly. - Ask 5 different questions in plain text (never a questions UI) — default 5 unless the user asks for a different number. Make them high-variety: a wide, creative spectrum of unique angles, not all the same type (e.g. not all "tech stack" or all "product" or all "monetization"). Exception: if the user asks for a specific focus area, follow it. The user answers whichever he finds most useful.
- Update docs after EVERY answer — no exceptions. You decide whether it
updates
README.mdor becomes a new ADR — whatever makes sense. - Repeat until the user says "we're done" (or similar).
Rules
- All answers & responses during this "brain to docs" process must be VERY CONCISE, all sentences should be SHORT, and everything should be written in PLAIN ENGLISH.
- ADRs: short, numbered
NNNN-slug.md, Status + Context + Decision + Consequences. - README: vision only. Decisions go in ADRs.
- Don't challenge the user's thinking unless the user asks, or the user is making a severe mistake.
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.
- 11d ago First seen · 34 lines · 68 tokens per session scan A 57d5d3e61b5c
brain-to-docs is a skill published in the GitHub repository attentiondotnet/davidondrej-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 433 once invoked, about $0.0003 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…