tldr

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TLDR code analysis — call graphs, semantic search, impact, dataflow, for far fewer tokens than reading the files raw. Triggers "who calls X", "what affects X", "blast radius", before large file reads or refactors.

Data & Documents 46 stars 4 forks Updated yesterday MIT

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Quality Score: 90/100

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Skill Content

# TLDR Code Analysis ## Standalone Codex fallback cc-settings does not install the TLDR MCP into standalone Codex. Ignore the Claude `context`, `allowed-tools`, and `requires` frontmatter in that host and keep the task read-only with native tools. Use `rg --files` to map the tree, `rg -n '<symbol|pattern>'` for exact references, direct import searches such as `rg -n 'from .*<module>|require\(.*<module>'`, and caller searches for the symbol followed by focused file reads. Use `git diff --name-only` plus test-name and import searches for change impact. Do not invoke or claim to have invoked a TLDR MCP in standalone Codex. Report the native searches actually run and their limitations. The remaining workflow is for Claude hosts with the configured TLDR MCP. Token-efficient codebase analysis behind the `tldr` MCP server. It returns the symbols, edges, and slices you asked for instead of whole file bodies, so a question that would cost several full reads costs one small structured answer. > No measured savings figure is published here on purpose. cc-settings carried a "~95% fewer tokens" claim for months with no benchmark behind it anywhere in the repo — the kind of number `AGENTS.md` now forbids (*No savings against a run that never happened*). To get a real figure, answer the same question both ways and compare the token counts your own session reports. The engine is provisioned by cc-settings. The tool names below are the stable contract; only the engine behind them change...

Details

Author
darkroomengineering
Repository
darkroomengineering/cc-settings
Created
8 months ago
Last Updated
yesterday
Language
TypeScript
License
MIT

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