Agent skill

Second Brain Graph

by undefined-ui in undefined-ui/second-brain-os

Analyse the vault's link graph and report on its shape: orphan rate, average degree, components, hubs, bridges and clusters, with what each number means for retrieval.

MITAuto-check passedKnowledge Management

Install Second Brain Graph

skills CLI
$ npx skills add undefined-ui/second-brain-os --skill second-brain-graph -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install undefined-ui/second-brain-os second-brain-graph --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/undefined-ui/second-brain-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/second-brain-graph .claude/skills/second-brain-graph && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
second-brain-graph
GitHub stars
999
Token cost
~533 tokens
SKILL.md length
180 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

Analyse the vault's link graph and report on its shape: orphan rate, average degree, components, hubs, bridges and clusters, with what each number means for retrieval.

  • Works in 5 steps: Run the scripts rather than reading… → Compute the four metrics: orphan rate,… → Identify hubs (pages that have swallowed… → …
  • The user asks about the health
  • SKILL.md covers Core rule, Workflow, Output format and Calibration
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Second Brain Graph is an agent skill from undefined-ui/second-brain-os. Analyse the vault's link graph and report on its shape: orphan rate, average degree, components, hubs, bridges and clusters, with what each number means for retrieval. Use this skill when the user asks about the health or structure of their graph, wants metrics, asks which pages are most connected or most isolated, or asks whether the vault is fragmented. Do NOT use for fixing what it finds, which is second-brain-lint, or for answering a content question.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering Second brain. The repository describes itself as: An AI second brain that maintains itself. Full guide, starter vault, agent skills and scripts for a self-organizing knowledge base in Claude Code and Obsidian. The licence is MIT.

When your agent uses it

  • The user asks about the health
  • Structure of their graph
  • Asks which pages are most connected
  • Asks whether the vault is fragmented

Example prompts

  • “/second-brain-graph”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Run the scripts rather than reading files: scripts/vault_stats.py for
  2. Compute the four metrics: orphan rate, average degree, component count,
  3. Identify hubs (pages that have swallowed the graph) and bridges
  4. Name the clusters. These are what the vault is actually about, which is
  5. Say what each number means for answering questions, not just the value.

What it can do on your machine

Read from SKILL.md and the folder at commit d6861cc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Second Brain Graph loads about 533 tokens when it runs. Until then it costs about 120 tokens; SKILL.md has 180 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~120
When it runs · the whole SKILL.md, loaded when a task matches
~533

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from undefined-ui/second-brain-os at commit d6861cc, republished under its MIT licence (© undefined-ui). 180 words, ~533 tokens.

Download SKILL.mdSave it as .claude/skills/second-brain-graph/SKILL.md (or your agent's skills folder).
name
second-brain-graph
description
Analyse the vault's link graph and report on its shape: orphan rate, average degree, components, hubs, bridges and clusters, with what each number means for retrieval. Use this skill when the user asks about the health or structure of their graph, wants metrics, asks which pages are most connected or most isolated, or asks whether the vault is fragmented. Do NOT use for fixing what it finds, which is second-brain-lint, or for answering a content question.

Analyse the graph

The graph is the search space every answer is drawn from. Its shape decides whether retrieval reaches the relevant material in a few hops or reaches nothing.

Core rule

Report shape and what it means, never fix anything. This skill is read-only.

Workflow

  1. Run the scripts rather than reading files: scripts/vault_stats.py for counts and degree, scripts/link_check.py for orphans and breaks, scripts/graph_export.py when deeper analysis is wanted.
  2. Compute the four metrics: orphan rate, average degree, component count, stale-page rate.
  3. Identify hubs (pages that have swallowed the graph) and bridges (pages connecting otherwise separate clusters).
  4. Name the clusters. These are what the vault is actually about, which is reliably different from what the user would say it is about.
  5. Say what each number means for answering questions, not just the value.

Output format

Pages <n> | links <n> | avg degree <n>
Orphan rate <n>%      (healthy under 5)
Components <n>        (main holds <n>%)
Stale concepts <n>%   (untouched 90+ days)

Hubs: <pages with outsized degree, and whether to split them>
Bridges: <pages connecting clusters, and what breaks if they are wrong>
Clusters: <what the vault is actually about>

What this means: <two or three sentences>

Calibration

Never report page count or word count as a health signal. Both rise whether the vault is improving or not.

A single reading says little. If the user has recorded previous numbers, compare against them; if not, suggest recording these.

© undefined-ui, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/second-brain-graph of undefined-ui/second-brain-os.

Open the folder on GitHubat commit d6861cc

Compare with similar skills

Second Brain Graph next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Second Brain Graph compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Second Brain Graph this skillundefined-ui/second-brain-os999—~533Automated safety check: PassMIT
Obsidian Canvas BoardsAgriciDaniel/claude-obsidian15k—~1.4kAutomated safety check: PassMIT
3D Brainnateherkai/AIS-OS1.6k—~2.1kAutomated safety check: PassCustom licence
Icm ArchitectRinDig/icm-architect1.8k—~3.2kAutomated safety check: PassMIT
Second BrainNicholasSpisak/second-brain735—~1.5kAutomated safety check: NotesNone
Cascading Goal Trackerballred/obsidian-claude-pkm1.9k—~1.5kAutomated safety check: PassMIT

Similar skills

  • Obsidian Canvas Boards

    AgriciDaniel/claude-obsidian

    Creates, inspects and updates Obsidian JSON Canvas boards in a vault, with text, file, link, group and edge nodes, using safe recoverable edits.

    15k GitHub stars~1.4k tokensUpdated 26 days ago
    Knowledge ManagementAuto-check passed
  • 3D Brain

    nateherkai/AIS-OS

    A skill your agent uses when someone asks to build a 3D brain, visualize their AIOS or second brain, turn their knowledge into an interactive graph, or run /3d-brain or /3D brain.

    1.6k GitHub stars~2.1k tokensUpdated 1 mo ago
    Knowledge ManagementAuto-check passed
  • Icm Architect

    RinDig/icm-architect

    Design any process, idea, problem, or body of knowledge into an ICM (Interpretable Context Methodology) workspace — folder structure as agent architecture — or restructure an existing folder, repo…

    1.8k GitHub stars~3.2k tokensUpdated 1 mo ago
    Knowledge ManagementAuto-check passed
  • Second Brain

    NicholasSpisak/second-brain

    Set up a new Obsidian knowledge base with the LLM Wiki pattern.

    735 GitHub stars~1.5k tokensUpdated 6 mo ago
    Knowledge ManagementAuto-check: notes
  • Cascading Goal Tracker

    ballred/obsidian-claude-pkm

    Tracks three-year, yearly, monthly, and weekly goals in linked Markdown files, calculating completion percentages and flagging stalled goals.

    1.9k GitHub stars~1.5k tokensUpdated 7 mo ago
    Knowledge ManagementAuto-check passed
  • Karpathy Wiki

    SherwinQ/karpathy-wiki

    A skill your agent uses when building or maintaining a personal knowledge base with LLM assistance.

    113 GitHub stars~967 tokensUpdated 5 mo ago
    Knowledge ManagementAuto-check passed

More from undefined-ui/second-brain-os

All 23 skills in this repo
  • Context Audit

    undefined-ui/second-brain-os

    Audit an agent's context layout against the four places: system prompt, tools, history, tail.

    999 GitHub stars~810 tokensUpdated 8 days ago
    Auto-check passed
  • Evals Bootstrap

    undefined-ui/second-brain-os

    Scaffold a first eval suite for an agent: mine real failures into cases, write behavioural checks over traces, and generate the runner.

    999 GitHub stars~793 tokensUpdated 8 days ago
    Auto-check passed
  • Gate Check

    undefined-ui/second-brain-os

    Find the decisions in a pipeline that do not need the expensive model and propose the gate for each: a rule, a classic classifier, or a small model, with fail-closed routing.

    999 GitHub stars~861 tokensUpdated 8 days ago
    Auto-check passed
  • Goal Test

    undefined-ui/second-brain-os

    Turn a vague task into a testable definition of done and generate an executable goal-test script for it, optionally with a bounded retry loop around a headless agent.

    999 GitHub stars~761 tokensUpdated 8 days ago
    Auto-check passed
  • Harness Audit

    undefined-ui/second-brain-os

    Audit an agent's harness against the four rings: containment, guides, sensors, permissions.

    999 GitHub stars~862 tokensUpdated 8 days ago
    Auto-check passed
  • Second Brain Chat Import

    undefined-ui/second-brain-os

    Triage an exported chat history into what to ingest, what to archive and what to delete, with a privacy pass first.

    999 GitHub stars~527 tokensUpdated 8 days ago
    Auto-check passed

Questions about Second Brain Graph

What does Second Brain Graph do?

Analyse the vault's link graph and report on its shape: orphan rate, average degree, components, hubs, bridges and clusters, with what each number means for retrieval. Second Brain Graph is an agent skill from undefined-ui/second-brain-os. Analyse the vault's link graph and report on its shape: orphan rate, average degree, components, hubs, bridges and clusters, with what each number means for retrieval.

When should I use Second Brain Graph?

Second Brain Graph fits situations like: the user asks about the health; structure of their graph; asks which pages are most connected; asks whether the vault is fragmented.

How do I install Second Brain Graph in Claude Code?

Run `npx skills add undefined-ui/second-brain-os --skill second-brain-graph -a claude-code`. Or copy the skill folder (skills/second-brain-graph in undefined-ui/second-brain-os) into .claude/skills/second-brain-graph in your project. Claude Code loads it when a task matches its description.

How do I install Second Brain Graph in Codex?

Run `npx skills add undefined-ui/second-brain-os --skill second-brain-graph -a codex`. Or copy the skill folder (skills/second-brain-graph in undefined-ui/second-brain-os) into .agents/skills/second-brain-graph in your project. Codex loads it when a task matches its description.

Can I use Second Brain Graph in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add undefined-ui/second-brain-os --skill second-brain-graph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/second-brain-graph, .gemini/skills/second-brain-graph, .github/skills/second-brain-graph and .opencode/skills/second-brain-graph in your project.

What does Second Brain Graph need to run?

SKILL.md names no scripts, command-line tools or credentials: Second Brain Graph is instructions for the agent only.

Does Second Brain Graph access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Second Brain Graph safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Second Brain Graph use?

Second Brain Graph is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Second Brain Graph use?

About 533 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Second Brain Graph?

Skills that share tags, products or a category with Second Brain Graph: Obsidian Canvas Boards (AgriciDaniel/claude-obsidian, 15k stars), 3D Brain (nateherkai/AIS-OS, 1.6k stars), Icm Architect (RinDig/icm-architect, 1.8k stars) and Second Brain (NicholasSpisak/second-brain, 735 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Second Brain Graph?

undefined-ui (a GitHub user) maintains it in undefined-ui/second-brain-os, which has 999 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on September 29, 2026.

Source: undefined-ui/second-brain-os on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.