semble-search

A code-search agent that finds implementations, symbols, and related code by describing what they do in plain language. It can search code, documentation, and configuration files.

In plain words
What is it for?
Use it to explore a codebase, find an authentication flow or model-saving function, understand how code works, and discover similar implementations.
Why use it?
It helps locate unfamiliar logic without already knowing the exact filename, function name, or wording used in the code.

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/antigravity
Clone the repo
git clone --depth 1 https://github.com/MinishLab/semble
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 480 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00046 $0.00480
Opus 5 $0.00023 $0.00240
Sonnet 5 $0.00009 $0.00096
Haiku 4.5 $0.00005 $0.00048

Measured 2d ago against content hash 8448cd2cfcea, 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 2d 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

Copies of this mod

8 near-identical copies found in the catalogue:

src/semble/agents/antigravity.md · 44 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. 2d ago First seen · 44 lines · 46 tokens per session scan A 8448cd2cfcea

Subscribe to this mod's changes

semble-search is an agent published in the GitHub repository MinishLab/semble (5,980 stars, last pushed 7d ago), licensed MIT. It adds 46 tokens to every session and 480 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-30.