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.
npx skills add Hurricane0698/zot --skill qmdgit clone --depth 1 https://github.com/Hurricane0698/zotWrote 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.
[](https://agentmods.dev/skills/hurricane0698/zot/qmd)<a href="https://agentmods.dev/skills/hurricane0698/zot/qmd"><img src="https://agentmods.dev/badge/skills/hurricane0698/zot/qmd.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.01115 |
| Opus 5 | $0.00016 | $0.00558 |
| Sonnet 5 | $0.00006 | $0.00223 |
| Haiku 4.5 | $0.00003 | $0.00112 |
Grade A, and why
qmd scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST http://localhost:8181/query \ This is a copy
100% identical to qmd — 16 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.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QMD - Quick Markdown Search
Local search engine for markdown content.
Status
!qmd status 2>/dev/null || echo "Not installed: npm install -g @tobilu/qmd"
MCP: query
{
"searches": [
{ "type": "lex", "query": "CAP theorem consistency" },
{ "type": "vec", "query": "tradeoff between consistency and availability" }
],
"collections": ["docs"],
"limit": 10
}
Query Types
| Type | Method | Input |
|---|---|---|
lex |
BM25 | Keywords - exact terms, names, code |
vec |
Vector | Question - natural language |
hyde |
Vector | Answer - hypothetical result (50-100 words) |
Writing Good Queries
lex (keyword)
- 2-5 terms, no filler words
- Exact phrase:
"connection pool"(quoted) - Exclude terms:
performance -sports(minus prefix) - Code identifiers work:
handleError async
vec (semantic)
- Full natural language question
- Be specific:
"how does the rate limiter handle burst traffic" - Include context:
"in the payment service, how are refunds processed"
hyde (hypothetical document)
- Write 50-100 words of what the answer looks like
- Use the vocabulary you expect in the result
expand (auto-expand)
- Use a single-line query (implicit) or
expand: questionon its own line - Lets the local LLM generate lex/vec/hyde variations
- Do not mix
expand:with other typed lines - it's either a standalone expand query or a full query document
Intent (Disambiguation)
When a query term is ambiguous, add intent to steer results:
{
"searches": [
{ "type": "lex", "query": "performance" }
],
"intent": "web page load times and Core Web Vitals"
}
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).
Combining Types
| Goal | Approach |
|---|---|
| Know exact terms | lex only |
| Don't know vocabulary | Use a single-line query (implicit expand:) or vec |
| Best recall | lex + vec |
| Complex topic | lex + vec + hyde |
| Ambiguous query | Add intent to any combination above |
What ships with it
1 file 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.
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.
- 7d ago First seen · 145 lines · 32 tokens per session scan A 49d085e9ab0a
qmd is a skill published in the GitHub repository Hurricane0698/zot (99 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 1,115 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to qmd, differing in 16 lines, and is treated as a copy.
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