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tobi/qmdSoftware EngineeringFrontend and Design

qmd

Local markdown search engine supporting keyword, semantic, and hypothetical-document queries across indexed collections.

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SkillJury verdict
Pending

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Install signal
1

Weekly or total install activity from catalog data

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Install command
npx skills add https://github.com/tobi/qmd --skill qmd
SkillJury does not have enough approved reviews to publish a community verdict yet. Source metadata and repository proof are still available above.
SkillJury Signal Summary

As of May 1, 2026, qmd has 1 weekly installs, 0 community reviews on SkillJury. Community votes currently stand at 0 upvotes and 0 downvotes. Source: tobi/qmd. Canonical URL: https://skills.sh/tobi/qmd/qmd.

Security audits
Gen Agent Trust HubPASS
SocketPASS
SnykPASS
About this skill
Local markdown search engine supporting keyword, semantic, and hypothetical-document queries across indexed collections. Local search engine for markdown content. ! qmd status 2>/dev/null || echo "Not installed: npm install -g @tobilu/qmd" lex (keyword) vec (semantic) hyde (hypothetical document) expand (auto-expand) When a query term is ambiguous, add intent to steer results: Intent affects expansion, reranking, chunk selection, and snippet extraction. It does not search on its own — it's a steering signal that disambiguates queries like "performance" (web-perf vs team health vs fitness). First query gets 2x weight in fusion — put your best guess first. Note: -term only works in lex queries, not vec/hyde. Omit to search all collections. - Three query types: lex (BM25 keyword matching), vec (semantic/natural language), and hyde (hypothetical document answers) with optional auto-expansion and intent-based disambiguation - Accessible via MCP tools ( query , get , multi_get ), CLI commands, and HTTP API on port 8181 - Supports collection filtering, phrase matching, term exclusion, and result reranking via reciprocal rank fusion and LLM-based scoring - Requires local installation ( npm install -g @tobilu/qmd ) and indexed markdown collections set up via qmd collection add and qmd embed - 2-5 terms, no filler words - Exact phrase: "connection pool" (quoted) - Exclude terms:...

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FAQ
What does qmd do?

Local markdown search engine supporting keyword, semantic, and hypothetical-document queries across indexed collections.

Is qmd good?

qmd does not have approved reviews yet, so SkillJury cannot publish a community verdict.

Which AI agents support qmd?

qmd currently lists compatibility with Skills CLI.

Is qmd safe to install?

qmd has been scanned by security audit providers tracked on SkillJury. Check the security audits section on this page for detailed results from Socket.dev and Snyk.

What are alternatives to qmd?

Skills in the same category include review-management, conversation-memory, coverage, grimoire-aave.

How do I install qmd?

Run the following command to install qmd: npx skills add https://github.com/tobi/qmd --skill qmd

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