AI-optimized tool output compression for read, grep, diff, bash, test, web, search, and more
AIR is a toolkit for optimizing tool outputs for AI consumption. The name is inspired by "accessibility retrofitting" - just as we retrofit infrastructure for accessibility, we need to retrofit developer tools for AI ergonomics. AI context windows are the scarcest resource. A 200K token window sounds large, but: A single output can consume 2000+ tokens A test report can eat 5000+ tokens 50-96% of…
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air_readNo description publishedThis tool published no description. Forge does not invent one.
air_bashNo description publishedThis tool published no description. Forge does not invent one.
air_editNo description publishedThis tool published no description. Forge does not invent one.
air_testNo description publishedThis tool published no description. Forge does not invent one.
air_grepNo description publishedThis tool published no description. Forge does not invent one.
air_webNo description publishedThis tool published no description. Forge does not invent one.
air_lsNo description publishedThis tool published no description. Forge does not invent one.
air_diffNo description publishedThis tool published no description. Forge does not invent one.
air_sessionNo description publishedThis tool published no description. Forge does not invent one.
air_apiNo description publishedThis tool published no description. Forge does not invent one.
air_searchNo description publishedThis tool published no description. Forge does not invent one.
air_mediaNo description publishedThis tool published no description. Forge does not invent one.
0 of 12 tools published a description.
Tool names and descriptions are written by the publisher and shown verbatim as inert text. They are the strings an MCP client passes to a model, so Forge scans them for prompt-injection patterns — any finding appears with the security scan above. “Privileged” is a keyword match on the tool name, not an audit of what the tool does: a benign-sounding name can still do anything.
AIR is a toolkit for optimizing tool outputs for AI consumption. The name is inspired by "accessibility retrofitting" - just as we retrofit infrastructure for accessibility, we need to retrofit developer tools for AI ergonomics. AI context windows are the scarcest resource. A 200K token window sounds large, but: A single output can consume 2000+ tokens A test report can eat 5000+ tokens 50-96% of this is noise: progress bars, blank lines, redundant info The real cost isn't tokens - it's…
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