snip
CLI proxy that reduces LLM token usage by 60-90%. Declarative YAML filters for Claude Code, Cursor, Copilot, Gemini. rtk alternative in Go.
Not yet testedsource: GitHubhomepageGoMITcommit af3471fd3891
Go, MIT licensed. The project labels itself: ai coding, ai tools, aider, claude code, cli, cline, codex and context window.
snip has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
ai-codingai-toolsaiderclaude-codecliclinecodexcontext-windowcopilotcursordeveloper-toolsfiltergeminigolangllmrtk-alternativetoken-optimizationtoken-reductionwindsurfyaml
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Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/snip)Questions
- Does snip run?
- snip has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test snip?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for snip?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.