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matryca-plumber

Skill Documents & Content Usable
Works inClaude Code
Usable Scanned — metadata only

Enables teams to maintain semantic consistency and discoverability across Markdown documentation without vendor lock-in or external API dependencies, reducin…

Local-first AI daemon for Logseq OG: background semantic indexing, link hygiene, and agent-ready CLI/MCP — edits Markdown on disk (no cloud, no Logseq API). Karpathy LLM-Wiki inspired.

82 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables teams to maintain semantic consistency and discoverability across Markdown documentation without vendor lock-in or external API dependencies, reducing operational risk and keeping sensitive knowledge local.

Engineering teams managing large Markdown knowledge bases who need automated link maintenance and semantic search without cloud infrastructure.

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https://github.com/MarcoPorcellato/matryca-plumber

By MarcoPorcellato

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install MarcoPorcellato/matryca-plumber

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Automatically index and tag related notes in my Logseq vault for better discoverability
CostFree

Trust Signals Auto-scanned

Stars82Last updated2026-07-23LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-23 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 82 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 82 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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