Agent skill

Second Brain Metrics

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

Record a dated snapshot of the vault's health numbers and compare against previous snapshots so trends are visible.

MITAuto-check passedKnowledge Management

Install Second Brain Metrics

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

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

GitHub CLI
$ gh skill install undefined-ui/second-brain-os second-brain-metrics --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-metrics .claude/skills/second-brain-metrics && 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-metrics
GitHub stars
1k
Token cost
~425 tokens
SKILL.md length
156 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

Record a dated snapshot of the vault's health numbers and compare against previous snapshots so trends are visible.

  • Works in 5 steps: Run scripts/vault_stats.py and… → Record: orphan rate, average degree,… → Append to the metrics note. Never… → …
  • Quarterly check
  • 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 Metrics is an agent skill from undefined-ui/second-brain-os. Record a dated snapshot of the vault's health numbers and compare against previous snapshots so trends are visible. Use this skill for a monthly or quarterly check, when the user asks whether the vault is improving, or asks to track its numbers over time. Do NOT use for a one-off graph analysis, which is second-brain-graph, or for structural repairs.

Its SKILL.md is about 430 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

  • Quarterly check
  • The user asks whether the vault is improving
  • Asks to track its numbers over time
  • A one-off graph analysis

Example prompts

  • “/second-brain-metrics”

Workflow steps

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

  1. Run scripts/vault_stats.py and scripts/link_check.py.
  2. Record: orphan rate, average degree, component count, stale-concept rate,
  3. Append to the metrics note. Never overwrite previous entries.
  4. Compare against the last snapshot and name what moved.
  5. Interpret only what changed. A stable number needs no commentary.

What it can do on your machine

Read from SKILL.md and the folder at commit c7fa35b. 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 Metrics loads about 425 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 156 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~425

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 c7fa35b, republished under its MIT licence (© undefined-ui). 156 words, ~425 tokens.

Download SKILL.mdSave it as .claude/skills/second-brain-metrics/SKILL.md (or your agent's skills folder).
name
second-brain-metrics
description
Record a dated snapshot of the vault's health numbers and compare against previous snapshots so trends are visible. Use this skill for a monthly or quarterly check, when the user asks whether the vault is improving, or asks to track its numbers over time. Do NOT use for a one-off graph analysis, which is second-brain-graph, or for structural repairs.

Record metrics

A single reading tells you almost nothing. Direction over months is the information, and nobody remembers what last quarter's orphan rate was.

Core rule

Four numbers, appended to a dated log, compared against the last entry. Never page count or word count.

Workflow

  1. Run scripts/vault_stats.py and scripts/link_check.py.
  2. Record: orphan rate, average degree, component count, stale-concept rate, with the date and total pages for context.
  3. Append to the metrics note. Never overwrite previous entries.
  4. Compare against the last snapshot and name what moved.
  5. Interpret only what changed. A stable number needs no commentary.

Output format

<date> | pages <n>
orphan rate    <n>%   (<+/-n> since <date>)
avg degree     <n>    (<+/-n>)
components     <n>    (main <n>%)
stale concepts <n>%   (<+/-n>)

Moved: <what changed and the likely cause>
Watch: <the one number to fix, or none>

Calibration

A rising orphan rate with a rising page count means ingestion has stopped linking. That is the single most important pattern in this report and it should be called out explicitly, not left in the numbers.

Do not recommend more than one thing to fix. A metrics report with five action items gets ignored.

© 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-metrics of undefined-ui/second-brain-os.

Open the folder on GitHubat commit c7fa35b

Compare with similar skills

Second Brain Metrics 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 Metrics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Second Brain Metrics this skillundefined-ui/second-brain-os1k—~425Automated safety check: PassMIT
Second BrainNicholasSpisak/second-brain7361 repos~1.5kAutomated safety check: NotesNone
3D Brainnateherkai/AIS-OS1.6k—~2.1kAutomated safety check: PassCustom licence
Obsidian Canvas BoardsAgriciDaniel/claude-obsidian15k—~1.4kAutomated safety check: PassMIT
Icm ArchitectRinDig/icm-architect1.8k—~3.2kAutomated safety check: PassMIT
Obsidian CLI Read TransportAgriciDaniel/claude-obsidian15k1 repos~762Automated safety check: PassMIT

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Questions about Second Brain Metrics

What does Second Brain Metrics do?

Record a dated snapshot of the vault's health numbers and compare against previous snapshots so trends are visible. Second Brain Metrics is an agent skill from undefined-ui/second-brain-os. Record a dated snapshot of the vault's health numbers and compare against previous snapshots so trends are visible.

When should I use Second Brain Metrics?

Second Brain Metrics fits situations like: quarterly check; the user asks whether the vault is improving; asks to track its numbers over time; A one-off graph analysis.

How do I install Second Brain Metrics in Claude Code?

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

How do I install Second Brain Metrics in Codex?

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

Can I use Second Brain Metrics 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-metrics -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-metrics, .gemini/skills/second-brain-metrics, .github/skills/second-brain-metrics and .opencode/skills/second-brain-metrics in your project.

What does Second Brain Metrics need to run?

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

Does Second Brain Metrics 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 Metrics 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 Metrics use?

Second Brain Metrics 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 Metrics use?

About 425 tokens (SKILL.md is roughly 1.7k 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 Metrics?

Skills that share tags, products or a category with Second Brain Metrics: Second Brain (NicholasSpisak/second-brain, 736 stars), 3D Brain (nateherkai/AIS-OS, 1.6k stars), Obsidian Canvas Boards (AgriciDaniel/claude-obsidian, 15k stars) and Icm Architect (RinDig/icm-architect, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Second Brain Metrics?

undefined-ui (a GitHub user) maintains it in undefined-ui/second-brain-os, which has 1,009 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 7, 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.