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.
git clone --depth 1 https://github.com/edochi/mdvsWrote 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/commands/edochi/mdvs/search)<a href="https://agentmods.dev/commands/edochi/mdvs/search"><img src="https://agentmods.dev/badge/commands/edochi/mdvs/search/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/edochi/mdvs/search"><img src="https://agentmods.dev/badge/commands/edochi/mdvs/search.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.02316 |
| Opus 5.5 | $0.00000 | $0.00926 |
| Sonnet 5.5 | $0.00000 | $0.00463 |
| Haiku 4.5 | $0.00000 | $0.00232 |
Grade A, and why
search 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
search
Query the index with natural language.
Usage
mdvs search <query> [path] [flags]
Flags
| Flag | Default | Description |
|---|---|---|
query |
(required) | Natural language search query |
path |
. |
Directory containing mdvs.toml |
--mode |
hybrid |
Search mode: semantic, fulltext, or hybrid |
--limit / -n |
10 |
Maximum number of results |
--where |
SQL WHERE clause — filter on frontmatter fields or on the filepath column |
|
--no-update |
Skip auto-update | |
--no-build |
Skip auto-build before searching |
The default limit can be changed in mdvs.toml via [search].default_limit.
Global flags (-o, -v, --logs) are described in
Configuration.
What it does
search loads the Lance index from .mdvs/, runs the query through LanceDB,
and ranks files by their best-matching chunk. The exact ranking depends on
--mode:
semantic— embed the query with the same model that built the index, cosine-rank chunks againstembedding.fulltext— BM25 rank chunks against the persistedchunk_text(no model load needed).hybrid(default) — run both and combine with LanceDB's Reciprocal Rank Fusion reranker.
Each file's score is the best chunk match across all its chunks (see scoring). Results are sorted descending (higher = better match).
By default, search auto-builds the index before querying, which includes
auto-updating the schema (see
[search].auto_build). The chain is cheap on
unchanged corpora — update is fast, classify sees no work, and the Lance write
is skipped. Use --no-build to query a pre-built index without touching it
(deterministic CI search), or --no-update to build against the committed
schema.
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.
- 10d ago First seen · 242 lines · 0 tokens per session scan A c12e20f2da12
search is a command published in the GitHub repository edochi/mdvs (27 stars, last pushed 11d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,316 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-05.
Other commands, from other repositories
create-entity
Create a new entity in the domain model using MDL.
landing-publish
Use this command to publish landing pages to the seite site as pages.
db-migrate.template
This prompt was authored for Claude-style slash workflows. In Codex runtime, adapt tool calls as follows.
setup
Guided session-recall setup — language, embedder, optional team mode.
prompts
Work with MCP prompt templates for memory operations.
fix
System prompt for /fix slash command.