qmd

qmd is a skill for Claude Code, Codex from davidtoby/agent-skills. It costs 21 tokens per session (259 once invoked), scanned A, a copy of qmd, MIT.

A local command-line search and indexing tool for finding information in files using word matching, meaning-based search, or a combination of both. It can also run as an MCP server, a way for other tools to query it.

In plain words
What is it for?
Use it to index document folders, update the index, search technical notes, and retrieve a specific part of a document.
Why use it?
It avoids repeatedly scanning local files by keeping a searchable index and supporting several kinds of queries.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/davidtoby/agent-skills/qmd
Any agent
npx skills add davidtoby/agent-skills --skill qmd
Clone the repo
git clone --depth 1 https://github.com/davidtoby/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for qmd

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidtoby/agent-skills/qmd.svg)](https://agentmods.dev/skills/davidtoby/agent-skills/qmd)
Your own site
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/qmd"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/qmd.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 259 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.00259
Opus 5 $0.00010 $0.00130
Sonnet 5 $0.00004 $0.00052
Haiku 4.5 $0.00002 $0.00026

Measured 5d ago against content hash 8d0a688885a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

qmd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to qmd — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/.archive/umbrella-curation-2026-04-29/openclaw-imports/qmd/SKILL.md · 27 lines

What it actually says

qmd

Use qmd to index local files and search them.

Indexing

  • Add collection: qmd collection add /path --name docs --mask "**/*.md"
  • Update index: qmd update
  • Status: qmd status

Search

  • BM25: qmd search "query"
  • Vector: qmd vsearch "query"
  • Hybrid: qmd query "query"
  • Get doc: qmd get docs/path.md:10 -l 40

Notes

  • Embeddings/rerank use Ollama at OLLAMA_URL (default http://localhost:11434).
  • Index lives under ~/.cache/qmd by default.
  • MCP mode: qmd mcp.
Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 27 lines · 21 tokens per session scan A 8d0a688885a6

Subscribe to this mod's changes

qmd is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 259 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to qmd, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

graphify

Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community…

Graphify-Labs/graphify · 76 tokens

gpt-image-2

面向 GPT Image 2 的图像生成 / 编辑技能。可在 3 种环境下使用:(A) Garden 本地模式,通过 OpenAI 兼容接口直接出图并落盘;(B) Host-Native 模式,把本 Skill 当作提示词工程指引,把渲染好的 prompt 交给宿主 Agent 自带的图像工具出图;(C) Advisor 模式,宿主无任何图像工具时退化为高质量 prompt 顾问。涵盖 18 大类、80+ 个结构化模板,覆盖海报 / UI / 产品 / 信息图 / 学术图 / 技术架构图 / 漫画 / 头像 / 流程板 / 电影分镜 / IP 周边 / 编辑工作流等场景。.

ConardLi/garden-skills · 177 tokens

kb-retriever

面向本地知识库目录的检索和问答助手。核心流程:(1)分层索引导航 (2)遇到PDF/Excel时必须先读取references学习处理方法 (3)处理文件后再检索。按文件类型组合使用 grep、Read、pdfplumber、pandas 进行渐进式检索,避免整文件加载。用户问题涉及"从知识库目录回答问题/检索信息/查资料"时使用。.

ConardLi/garden-skills · 105 tokens

brand-product-knowledge-builder

将品牌产品资料、规格参数、卖点证据、FAQ、价格权益、竞品区别和合规边界,整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的产品资料知识库。适用于用户要求“整理产品知识库”“沉淀产品 FAQ”“把品牌产品资料变成项目资料”“维护产品资料包”的场景。.

limecloud/lime · 92 tokens

ehr-analysis

End-to-end EHR predictive modeling pipeline with PyHealth, covering dataset loading, task definition, model training, evaluation, calibration, and clinical interpretation.

zongtingwei/Bioclaw_Skills_Hub · 33 tokens

bindcraft

End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high…

zongtingwei/Bioclaw_Skills_Hub · 107 tokens