snip

Release CI License Go

snip - Reduce LLM Token Usage by 60-90%

CLI proxy that filters shell output before it reaches your AI coding assistant’s context window. Works with Claude Code, Cursor, Copilot, Gemini CLI, Windsurf, Cline, Codex, Aider, and any tool that runs shell commands.

AI coding agents burn tokens on verbose shell output that adds zero signal. A passing go test produces hundreds of lines the LLM will never use. git log dumps full commit metadata when a one-liner per commit suffices.

snip sits between your AI tool and the shell, filtering output through declarative YAML pipelines – no compiled filters, no code changes. Write a YAML file, drop it in a folder, done. An extensible rtk alternative built in Go.

  snip — Token Savings Report
  ══════════════════════════════

  Commands filtered     128
  Tokens saved          2.3M
  Avg savings           99.8%
  Efficiency            Elite
  Total time            725.9s

  ███████████████████░ 100%

  14-day trend  ▁█▇

  Top commands by tokens saved

  Command                    Runs  Saved   Savings  Impact
  ─────────────────────────  ────  ──────  ───────  ────────────
  go test ./...              8     806.2K  99.8%    ████████████
  go test ./pkg/...          3     482.9K  99.8%    ███████░░░░░
  go test ./... -count=1     3     482.0K  99.8%    ███████░░░░░

Measured on a real Claude Code session — 128 commands, 2.3M tokens saved.

Quick Start

# Homebrew (macOS/Linux)
brew install edouard-claude/tap/snip

# Or with Go
go install github.com/edouard-claude/snip/cmd/snip@latest

# Then hook into Claude Code
snip init
# That's it. Every shell command Claude runs now goes through snip.

How It Works

Before — Claude Code sees this (689 tokens):

$ go test ./...
ok  	github.com/edouard-claude/snip/internal/cli	3.728s	coverage: 14.4% of statements
ok  	github.com/edouard-claude/snip/internal/config	2.359s	coverage: 65.0% of statements
ok  	github.com/edouard-claude/snip/internal/display	1.221s	coverage: 72.6% of statements
ok  	github.com/edouard-claude/snip/internal/engine	1.816s	coverage: 47.9% of statements
ok  	github.com/edouard-claude/snip/internal/filter	4.306s	coverage: 72.3% of statements
ok  	github.com/edouard-claude/snip/internal/initcmd	2.981s	coverage: 59.1% of statements
ok  	github.com/edouard-claude/snip/internal/tee	0.614s	coverage: 70.6% of statements
ok  	github.com/edouard-claude/snip/internal/tracking	5.355s	coverage: 75.0% of statements
ok  	github.com/edouard-claude/snip/internal/utils	5.515s	coverage: 100.0% of statements

After — snip returns this (16 tokens):

10 passed, 0 failed

That’s 97.7% fewer tokens. The LLM gets the same signal — all tests pass — without the noise.

┌─────────────┐     ┌─────────────────┐     ┌──────────────┐     ┌────────────┐
│ Claude Code │────>│ snip intercept  │────>│ run command  │────>│   filter   │
│  runs git   │     │  match filter   │     │  capture I/O │     │  pipeline  │
└─────────────┘     └─────────────────┘     └──────────────┘     └─────┬──────┘
                                                                       │
                    ┌─────────────────┐     ┌──────────────┐           │
                    │   Claude Code   │<────│ track savings│<──────────┘
                    │  sees filtered  │     │  in SQLite   │
                    └─────────────────┘     └──────────────┘

No filter match? The command passes through unchanged — zero overhead.

Token Savings by Command

Command Before After Reduction
cargo test 591 tokens 5 tokens 99.2%
go test ./... 689 tokens 16 tokens 97.7%
git log 371 tokens 53 tokens 85.7%
git status 112 tokens 16 tokens 85.7%
git diff 355 tokens 66 tokens 81.4%

Stop wasting tokens on noise. snip gives the LLM the same signal in a fraction of the context window.

Installation

brew install edouard-claude/tap/snip

From GitHub Releases

Download the latest binary for your platform from Releases.

# macOS (Apple Silicon)
curl -Lo snip.tar.gz https://github.com/edouard-claude/snip/releases/latest/download/snip_$(curl -s https://api.github.com/repos/edouard-claude/snip/releases/latest | grep tag_name | cut -d'"' -f4 | tr -d v)_darwin_arm64.tar.gz
tar xzf snip.tar.gz && mv snip /usr/local/bin/

From source

go install github.com/edouard-claude/snip/cmd/snip@latest

Or build locally:

git clone https://github.com/edouard-claude/snip.git
cd snip && make install

Requires Go 1.24+ and jq (for the hook script).

Supported AI Tools

snip integrates with every major AI coding assistant. One binary, universal compatibility.

Tool Install Method
Claude Code snip init PreToolUse hook
Cursor hooks.json config beforeShellExecution hook
OpenCode opencode-snip plugin tool.execute.before hook
GitHub Copilot shell aliases prefix commands with snip
Gemini CLI shell aliases prefix commands with snip
Codex (OpenAI) shell aliases prefix commands with snip
Windsurf shell aliases prefix commands with snip
Cline / Roo Code shell aliases prefix commands with snip
Aider shell aliases prefix commands with snip

Claude Code

snip init

This installs a PreToolUse hook that transparently rewrites supported commands. Claude Code never sees the substitution – it receives compressed output as if the original command produced it.

Supported commands: git, go, cargo, npm, npx, yarn, pnpm, docker, kubectl, make, pip, pytest, jest, tsc, eslint, rustc.

snip init --uninstall   # remove the hook

Cursor

Cursor supports hooks since v1.7 via ~/.cursor/hooks.json:

{
  "version": 1,
  "hooks": {
    "beforeShellExecution": [
      { "command": "~/.claude/hooks/snip-rewrite.sh" }
    ]
  }
}

OpenCode

Install the opencode-snip plugin by adding it to your OpenCode config (~/.config/opencode/opencode.json):

{
  "$schema": "https://opencode.ai/config.json",
  "plugin": ["opencode-snip@latest"]
}

The plugin uses the tool.execute.before hook to automatically prefix all commands with snip. Commands not supported by snip pass through unchanged.

Copilot / Gemini / Codex / Windsurf / Cline / Aider

Use shell aliases to route commands through snip:

# Add to ~/.bashrc or ~/.zshrc
alias git="snip git"
alias go="snip go"
alias cargo="snip cargo"

Or instruct the LLM via system prompt to prefix commands with snip.

Standalone

snip works without any AI tool:

snip git log -10
snip go test ./...
snip gain             # token savings report

Usage

snip <command> [args]       # filter a command
snip gain                   # full dashboard (summary + sparkline + top commands)
snip gain --daily           # daily breakdown
snip gain --weekly          # weekly breakdown
snip gain --monthly         # monthly breakdown
snip gain --top 10          # top N commands by tokens saved
snip gain --history 20      # last 20 commands
snip gain --json            # machine-readable output
snip gain --csv             # CSV export
snip -v <command>           # verbose mode (show filter details)
snip proxy <command>        # force passthrough (no filtering)
snip config                 # show config
snip init                   # install Claude Code hook
snip init --uninstall       # remove hook

Filters

Filters are declarative YAML files. The binary is the engine, filters are data — the two evolve independently.

name: "git-log"
version: 1
description: "Condense git log to hash + message"

match:
  command: "git"
  subcommand: "log"
  exclude_flags: ["--format", "--pretty", "--oneline"]

inject:
  args: ["--pretty=format:%h %s (%ar) <%an>", "--no-merges"]
  defaults:
    "-n": "10"

pipeline:
  - action: "keep_lines"
    pattern: "\\S"
  - action: "truncate_lines"
    max: 80
  - action: "format_template"
    template: "8 commits:\n"

on_error: "passthrough"

Built-in Filters

Filter What it does
git-status Categorized status with file counts
git-diff Stat summary, truncated to 30 files
git-log One-line per commit: hash + message + author + date
go-test Pass/fail summary with failure details
cargo-test Pass/fail summary with failure details

16 Pipeline Actions

Action Description
keep_lines Keep lines matching regex
remove_lines Remove lines matching regex
truncate_lines Truncate lines to max length
strip_ansi Remove ANSI escape codes
head / tail Keep first/last N lines
group_by Group lines by regex capture
dedup Deduplicate with optional normalization
json_extract Extract fields from JSON
json_schema Infer schema from JSON
ndjson_stream Process newline-delimited JSON
regex_extract Extract regex captures
state_machine Multi-state line processing
aggregate Count pattern matches
format_template Go template formatting
compact_path Shorten file paths

Custom Filters

snip init                                    # creates ~/.config/snip/filters/
vim ~/.config/snip/filters/my-tool.yaml      # add your filter

User filters take priority over built-in ones.

Configuration

Optional TOML config at ~/.config/snip/config.toml:

[tracking]
db_path = "~/.local/share/snip/tracking.db"

[display]
color = true
emoji = true
quiet_no_filter = false  # suppress "no filter" stderr messages

[filters]
dir = "~/.config/snip/filters"

[filters.enable]
# git-diff = false       # disable a specific built-in filter

[tee]
enabled = true
mode = "failures"    # "failures" | "always" | "never"
max_files = 20
max_file_size = 1048576

Design

snip vs rtk (Rust Token Killer)

Looking for an rtk alternative? snip takes a fundamentally different approach to LLM token reduction: filters are data, not code.

  rtk (Rust) snip (Go)
Filter authoring Write Rust, recompile, wait for release Write YAML, drop in a folder, done
Filter format Compiled into the binary Declarative YAML – engine and filters evolve independently
Custom filters Fork the repo, add Rust code Create a .yaml file in ~/.config/snip/filters/
Concurrency 2 OS threads Goroutines (lightweight, no thread pool)
SQLite Requires CGO + C compiler Pure Go driver – static binary, no dependencies
Cross-compilation Per-target C toolchain GOOS=linux GOARCH=arm64 go build
Pipeline actions Built-in strategies 16 composable actions (keep, remove, regex, JSON, state machine…)
Contributing Rust knowledge required YAML knowledge sufficient

Both tools solve the same problem – reducing AI token costs from verbose CLI output. snip’s bet is that extensibility wins: when anyone can write a filter in 5 minutes without touching Go or Rust, the filter ecosystem grows faster.

Development

make build        # static binary (CGO_ENABLED=0)
make test         # all tests with coverage
make test-race    # race detector
make lint         # go vet + golangci-lint
make install      # install to $GOPATH/bin

Documentation

Full documentation is available on the Wiki:

Credits

Inspired by rtk (Rust Token Killer) by the rtk-ai team. rtk proved that filtering shell output before it reaches the LLM context window is a powerful idea for cutting AI coding costs. snip rebuilds the concept in Go with a focus on extensibility – declarative YAML filters that anyone can write without touching the codebase.

License

MIT