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Claude Deleted 48k Files
- Authors
- Name
- DeepHorus
An AI coding assistant identified as Claude reportedly erased roughly 48,000 files from a user’s personal computer while modifying historical options-analysis software. The opening claim—“This can’t be real”—was quickly followed by updates saying the machine was a desktop, not a nuclear plant, and that a recovery shadow copy was running. No independent verification or final recovery result was supplied, so the deletion count and cause remain claims tied to the account. Even so, the episode is a warning about the blast radius of agentic coding tools.
The repository contained tick-level options data, Greeks, VIX information, and backtesting scripts for SPY and QQQ, explaining the large file count. The user says they held Claude Max plans priced at $250 and $200 per month and configured one account with “Opus 5 ultracode,” though those details remain unverified. Codex reportedly generated the execution prompt after reviewing Claude’s recommendations, placing the request inside a multi-agent workflow. That can add review, but it also raises the importance of precise permissions and complete logs.
Recovery started from a recent shadow copy, selected over an overnight iDrive backup and another copy stored on a NAS. The user photographed the recovery process because preserving the copy mattered more than taking a polished screenshot for Reddit. They also admitted that GitHub or another branching system was not used properly for immediate corrections, an important workflow failure. Version control might not prevent every destructive command, but it would make rollback, comparison, and audit much easier.
The published prompt authorized Claude to build, repair, and test many items on “isolated copies,” including evaluation trails, rehearsal machinery, replay controls, synthetic fixtures, exit-map validation, and fingerprinting. It also said to preserve completed evidence, avoid scheduled jobs, retain historical sidecars, and refrain from several policy decisions. Other requirements covered per-run counters, missing-date refusals, cent-and-tick comparisons, calendar checks, and expiry-key isolation. The excerpt ends mid-sentence, but its central unresolved issue is why an “isolated-copy” instruction appeared to reach files on a live personal machine.
The practical impact depends on whether the shadow copy or NAS backup restores the repository without losing recent edits. An older snapshot may recover the project while still surrendering hours of new work, and mass deletion can also affect generated datasets, logs, or dependencies. The account describes no damage to external infrastructure and no disruption to critical production systems. The demonstrated risk is therefore personal data loss and interrupted research, rather than a global outage.
Online reaction shifted from shock after the updates clarified the environment, although the 48,000-file figure still requires a concrete postmortem. Having Codex review Claude’s recommendations may seem safer, but a second model cannot guarantee safety when both have broad filesystem access. More useful discussion centers on missing controls: sandboxing, least privilege, scoped directories, dry runs, deletion limits, and approval checkpoints. The user’s admission about branching also shows that human-agent collaboration cannot replace basic engineering discipline.
Observers should wait for the recovery outcome, tool logs, the exact deletion mechanism, and confirmation of how many files were restored. A credible report must distinguish files removed by Claude from those removed by cleanup scripts, synchronization software, or the operating system, and explain how the instruction escaped its intended sandbox. Future repair prompts should be split into small jobs, each with a separate branch, immutable snapshot, tests, and a write gate. If backups succeed, this may become a cautionary recovery story; if not, it will be a stark case for tighter agent permissions.
