Home / coco-research / coco · systems/brain/skills/brain-wiki/SKILL.md · GitHub

brain:wiki skillA

brain:wiki is agent-read markdown (skill) from coco-research/coco: Use when the user asks for a knowledge article, wiki page, or entity summary from the brain, or wants to search, list, or review merges across brain DB articles. Generates Wikipedia-style articles from entities, decisions, and emails..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# /brain-wiki — CoCo Knowledge Articles

Browse, search, and generate Wikipedia-quality articles about people, systems, teams,
and org units across all CoCo brain DB projects.

Articles are auto-generated from the brain DB by the daily knowledge engine cron
(`~/.coco/knowledge/cron.py`). Each article synthesizes all evidence available about
an entity — decisions, events, relationships, tasks — into a structured, versioned
knowledge artifact.

## Prerequisites

Articles live in the external knowledge engine at `~/.coco/knowledge/` (`cron.py` and
`knowledge.db`), which does not ship in this repo. Wire this skill with
`bash adapters/<your-ide>/install.sh --systems brain` and install the engine itself
before using anything below.

---

## Commands

### `/brain-wiki [entity]` — Show article (or list all)

**With entity name:** Look up and display a knowledge article.

```bash
python3 ~/.claude/skills/brain/scripts/brain/brain_cli.py wiki --name "{entity}"
```

Display format:
```
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
{Title}                                    [{type}]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Infobox:  Projects: {list} | Role: {role} | Team: {team}
…

Read the whole file at its exact version.

How to install

Latest version
mdr add coco-research/coco/brain:wiki@git:20260914.e75f220
Exact content
mdr add coco-research/coco/brain:wiki@sha256:345a61057f696c5c

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vhinv6hbsb6sh3h2.svg)](https://markdownregistry.com/a/art_vhinv6hbsb6sh3h2)

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Versions

versioncommittedcommitsizeaudit
git:20260914.e75f220 latest2026-09-14 e75f220 14,376 BA view · diff
git:20260426.d53cc6c2026-04-26 d53cc6c 14,089 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (14376 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

coco-research/coco · 478 stars · license NOASSERTION · pushed 2026-09-25 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vhinv6hbsb6sh3h2
GET https://markdownregistry.com/api/v1/resolve?ref=coco-research/coco/brain:wiki
GET https://markdownregistry.com/api/v1/blob/345a61057f696c5cfec2bea8e689489bc815ceb7b75efabbf1da0657d2084079

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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