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SKILL verified MIT Self-run

Second Brain Graph

skill-undefined-ui-second-brain-os-second-brain-graph · by undefined-ui

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Install

$ agentstack add skill-undefined-ui-second-brain-os-second-brain-graph

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-undefined-ui-second-brain-os-second-brain-graph)

Reliability & compatibility

✓ Security review passed
0 installs to date
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● 16d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

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.

  1. Compute the four metrics: orphan rate, average degree, component count,

stale-page rate.

  1. Identify hubs (pages that have swallowed the graph) and bridges

(pages connecting otherwise separate clusters).

  1. Name the clusters. These are what the vault is actually about, which is

reliably different from what the user would say it is about.

  1. Say what each number means for answering questions, not just the value.

Output format

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

Hubs: 
Bridges: 
Clusters: 

What this means: 

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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.