semble-search

A code-search agent that finds files and symbols from plain-language descriptions or names. It can also search documentation and configuration files, and find code related to a known location.

In plain words
What is it for?
Use it to trace authentication, locate an implementation, understand unfamiliar code, search deployment docs or settings, and discover similar code.
Why use it?
It removes the need to guess exact words or scan a large codebase with basic text searches. Cached results are refreshed when files change.

Agent

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 agents/minishlab/semble/cursor
Clone the repo
git clone --depth 1 https://github.com/MinishLab/semble
Per session 44 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 465 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 84% 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 $0.00044 $0.00465
Opus 5 $0.00022 $0.00233
Sonnet 5 $0.00009 $0.00093
Haiku 4.5 $0.00004 $0.00047

Measured yesterday against content hash 58628c138c8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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

84% identical to semble-search — 5 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/cursor.md · 41 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.

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. 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. yesterday First seen · 41 lines · 44 tokens per session scan A 58628c138c8b

Subscribe to this mod's changes

semble-search is an agent published in the GitHub repository MinishLab/semble (5,968 stars, last pushed 6d ago), licensed MIT. It adds 44 tokens to every session and 465 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to semble-search, differing in 5 lines, and is treated as a copy.