Individual skill
second-brain-metrics
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.
skills/second-brain-metrics/SKILL.md
Source commit 53aea8231aff3024352e21839dc08668f7ecc0b9
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Local scripts
- Last checked
- Nov 7, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 1,513
- Repository last updated
- Nov 3, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- knowledge-graph Repository topic
- knowledge-management Repository topic
- llm Repository topic
- mcp Repository topic
- obsidian Repository topic
- engineering Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 1,697 bytes
Read excerpt
# 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,