Claude Code Self-Audit Finds 3GB of Cruft in ~/.claude — Here's How to Clean It
A Reddit user fed Claude Code a forensic audit prompt to investigate why it felt sluggish. The tool found 3GB of accumulated cruft in ~/.claude and project-level CLAUDE.md files. After cleanup, the directory shrank to under 200MB.
The Prompt Used
Do a forensic audit of my ~/.claude directory and any project-level CLAUDE.md files in my workspace. I suspect accumulated cruft is degrading performance. Report:
For each finding, explain WHY it impacts performance (disk I/O at startup vs. context-window bloat vs. retry loops) and give me safe find / rm commands to clean it up. Don't execute anything — just report.
Findings in the User's Environment
- 2.6 GB in
projects/— 9,318 JSONL session transcripts across 172 project dirs, never purged. Causes disk I/O at startup. - 170 MB in
telemetry/— 91 files of1p_failed_events.*from a silent retry loop where telemetry couldn't reach the endpoint and kept buffering. - 153 MB of file-history undo buffers.
- 3,095 stale todo JSON files — one per session/agent, ever.
- A 986-line
CLAUDE.md, plus a 346-line one insidenode_modulesthat loads whenever youcdnearby, causing context-window bloat. - Stacked
CLAUDE.mdfiles in nested backend dirs adding up to ~900 lines of context just by being in a subdirectory.
What to Do
The user didn't share exact cleanup commands, but the audit report gave safe find/rm suggestions. You can craft your own based on the findings: remove old session transcripts from ~/.claude/projects/, delete telemetry retry buffers, prune undo buffers, and collapse or truncate bloated CLAUDE.md files — especially those in node_modules or deeply nested directories.
📖 Read the full source: r/ClaudeAI
👀 See Also
Stop Burning Claude Code Tokens on Chat Questions
A developer on r/ClaudeAI saved their weekly token cap by routing simple chat questions to cheap models like Haiku, reserving Claude Code for agent tasks like multi-file edits.
3 weeks of OpenClaw: token costs, loops, and compaction — lessons from the trenches
After burning tokens on heartbeat checks with Opus, fighting agent loops, and losing context to compaction, a Reddit user shares the hard-won fixes: use cheaper models for trivial tasks, write anti-loop rules, and save decision logs.
llama.cpp Massive Prompt Reprocessing with Coding Agents: Debugging KV Cache and Context Swapping
A user reports llama.cpp reprocessing 40k+ tokens on similar prompts when using opencode + pi.dev, despite high LCP similarity. Config details and suspected causes are shared.
10 Practical Tips for Using Claude Code from Reddit User
A Reddit user shares specific techniques for Claude Code including using /effort high with 'ultrathink' for extended thinking, creating isolated conversation branches with /fork, and setting up custom hooks in .claude/settings.json.