semble-search

semble-search is an agent for Claude Code from MinishLab/semble. It costs 46 tokens per session (575 once invoked), scanned A, a copy of semble-search, MIT.

A code-search agent that explores a codebase using descriptions, names, documentation, and configuration rather than only exact text searches. It can also find code related to a location found earlier.

In plain words
What is it for?
Use it to find symbols or features, inspect code and documentation, search configuration files, compare related code, and explore several local paths or Git repositories.
Why use it?
It reduces the work of locating behavior in an unfamiliar project and helps reveal related implementations that ordinary file browsing may miss. Search results are cached and refreshed when files change.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is semble search "invoice endpoint" ./service-a ../service-b.

Good fit Use it to find symbols or features, inspect code and documentation, search configuration files, compare related code, and explore several local paths or Git repositories.

Compare 6 agents from other repositories ↓
About the project

Semble is a code-search library that indexes repositories and returns relevant code snippets for natural-language questions, giving coding agents focused context without reading whole files. Developers use it through an MCP server, command-line integration, or dedicated sub-agent on local CPU-based setups. Catalogue add-ons provide agents that use Semble for repository search.

MinishLab/semble · 6,210 stars · on GitHub · minish.ai

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/MinishLab/semble
agentmods
npx agentmods add agents/minishlab/semble/qwen

Made for: Claude Code.

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 semble-search

README.md
[![agentmods](https://agentmods.dev/badge/agents/minishlab/semble/qwen/github.svg)](https://agentmods.dev/agents/minishlab/semble/qwen)
Your own site
<a href="https://agentmods.dev/agents/minishlab/semble/qwen"><img src="https://agentmods.dev/badge/agents/minishlab/semble/qwen/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.

agentmods 80×15 button for semble-search

Your own site · 80×15
<a href="https://agentmods.dev/agents/minishlab/semble/qwen"><img src="https://agentmods.dev/badge/agents/minishlab/semble/qwen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 575 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% 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 $0.00046 $0.00575
Opus 5.5 $0.00018 $0.00230
Sonnet 5.5 $0.00009 $0.00115
Haiku 4.5 $0.00005 $0.00057

Measured 20d ago against content hash 57077f706d2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

semble-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 20d 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

88% identical to semble-search — 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.

src/semble/agents/qwen.md · 49 lines

What it actually says

Use semble search to find code by describing what it does or naming a symbol/identifier, instead of grep:

semble search "authentication flow" ./my-project --max-snippet-lines 10  # first 10 lines only, concise
semble search "save_pretrained" ./my-project                          # full chunk content
semble search "save model to disk" ./my-project --top-k 10           # more results

Results are cached automatically on first run and invalidated when files change.

Use --content docs to search documentation and prose, --content config for config files (yaml, toml, etc.), or --content all to search code, docs, and config:

semble search "deployment guide" ./my-project --content docs
semble search "database host port" ./my-project --content config
semble search "authentication" ./my-project --content all

Use semble find-related to discover code similar to a known location (pass file_path and line from a prior search result):

semble find-related src/auth.py 42 ./my-project

path defaults to the current directory when omitted; git URLs are accepted. Pass several paths or URLs to search related repos together, e.g. when this project calls a service defined in a sibling repo. Result paths are then prefixed with the repo name and the output includes a repos map from prefix to location:

semble search "invoice endpoint" ./service-a ../service-b

If semble is not on $PATH, use uvx --from "semble[mcp]" semble in its place.

Workflow

  1. Start with semble search to find relevant chunks. The index is built and cached automatically.
  2. Use --content docs for documentation, --content config for config files, or --content all for everything.
  3. Navigate directly to the returned file and line. Do not re-search or grep for the same content.
  4. Optionally use semble find-related with a promising result's file_path and line to discover related implementations.
  5. If the answer may live in a dependent or sibling repo, pass all relevant repo paths to one semble search call.
  6. Use grep only when you need every occurrence of a literal string across the whole repo (e.g., all callers of a renamed function).
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. 20d ago First seen · 49 lines · 46 tokens per session scan A 57077f706d2d

Subscribe to this mod's changes

semble-search is an agent published in the GitHub repository MinishLab/semble (6,210 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 575 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to semble-search, differing in 0 lines, and is treated as a copy.

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