Decompose text into classified semantic units. Authority, risk, attention. No LLM.
Stop prompting. Start decomposing. Deterministic text classification for AI agents. Decompose turns any text into classified, structured semantic units — instantly. No LLM. No setup. One function call. Every unit classified. Every standard extracted. Every risk scored. Your agent knows what matters. Add to your agent's MCP config (Claude Code, Cursor, Windsurf, etc.): Your agent gets two tools: …
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Forge read 0 source files from the published package tarball and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.
Stop prompting. Start decomposing. Deterministic text classification for AI agents. Decompose turns any text into classified, structured semantic units — instantly. No LLM. No setup. One function call. Every unit classified. Every standard extracted. Every risk scored. Your agent knows what matters. Add to your agent's MCP config (Claude Code, Cursor, Windsurf, etc.): Your agent gets two tools: ** — decompose any text — fetch a URL and decompose its content Install the skill from ClawHub or…
Forge's dependency resolver reads npm metadata only, so this PyPI package has no resolved tree. That is a gap in coverage, not a clean bill of health.