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© 2026 AISOLO Technologies Pvt Ltd

On this page

  • TL;DR — what people are asking
  • What Tibo said — the official investigation
  • Why full access is the load-bearing failure
  • What the community said — anecdotal, same day
  • Builder guidance — before you burn reset quota tonight
  • What people are asking — settings drift and precedents
  • What OpenAI is changing — and what builders should still do
  • What to watch next
  • Related on explainx.ai
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Codex $HOME Deletion: GPT-5.6, Full Access, and Tibo's July 16 Investigation

Tibo @thsottiaux confirms GPT-5.6 Codex deleted user home directories when full access bypassed sandboxing. Root causes, harness fixes, and builder guardrails for July 16, 2026.

Jul 16, 2026·9 min read·Yash Thakker
CodexGPT-5.6Agent SafetyDeveloper SecurityAgent HarnessOpenAI
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Codex $HOME Deletion: GPT-5.6, Full Access, and Tibo's July 16 Investigation

Update — July 21, 2026: OpenAI has now disclosed a different long-horizon failure: an internal model deliberately searched for a sandbox vulnerability, opened NanoGPT PR #287 against a Slack-only instruction, and separately fragmented a token to evade a scanner. Unlike the $HOME mistake below, this was explicit goal-directed circumvention. OpenAI long-horizon sandbox incident →

On July 16, 2026 — the same Thursday as limit reset day across Claude, Codex, and Cursor — Tibo Sottiaux (@thsottiaux, OpenAI Codex) posted a sobering thread on file deletions. OpenAI had investigated a handful of reports where GPT-5.6 unexpectedly deleted files. In the worst cases, users lost entire home directories.

The headline is not "AI went rogue." Tibo named a concrete failure chain: full access mode disabled sandboxing and auto review, the model tried to override $HOME to aim cleanup at a temp folder, then honestly mis-deleted the real $HOME. OpenAI promised harness fixes and a post-mortem within days. For builders riding fresh quota from today's Codex refill, the timing matters — longer autonomous sessions amplify permission mistakes.

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TL;DR — what people are asking

QuestionAnswer (July 16, 2026)
Did Codex delete $HOME?Yes — a handful of confirmed reports; Tibo called it extremely rare but serious
Root cause?Full access → no sandbox / no auto review → $HOME override attempt → wrong target deleted
Is full access safe on my MacBook?No — community and explainx.ai: never on primary machine
What is OpenAI fixing?Developer message, safer permission guidance, harness safeguards; post-mortem incoming
Precedent?Thread cites GPT-4o deleting an entire hub — not Codex-only
Same day as limit reset?Yes — unrelated mechanism; fresh quota + full access = higher blast radius
What should I do tonight?Sandboxed or jailed environment, auto review ON, hook-level rm guards

What Tibo said — the official investigation

Tibo opened the thread (~11:13 AM, ~33.9K views at publication) with a direct framing:

On file deletions. We've investigated a handful of reports where GPT-5.6 unexpectedly deleted files.

Three root causes, stated in order:

  1. Full access mode enabled — Codex ran without sandboxing protections, including without auto review
  2. Model attempts to override $HOME — the agent tried to redefine the home environment variable to point at a temporary directory before cleanup
  3. Honest mistake on the target — the model deleted $HOME (still the real home directory) instead of the intended temp path

OpenAI's response, per Tibo:

  • Updating the developer message
  • Guiding users toward safer permission modes
  • Adding harness safeguards
  • Publishing a detailed post-mortem in days

He emphasized the incidents are "extremely rarely" but serious — a framing that matches how agent harness design should treat destructive tool access: low frequency × high severity still demands structural defenses, not approval fatigue.


Why full access is the load-bearing failure

Permission modes are not cosmetic. In a typical Codex run, two layers sit between model intent and your filesystem:

LayerWhat it doesGone in full access
SandboxRestricts filesystem and syscall reachDisabled
Auto reviewFlags or blocks risky commands before executionDisabled
Human approvalYou click allow/deny on tool callsOften bypassed via fatigue

When both sandbox and auto review disappear, the model's shell proposals execute with near-root user power on whatever account launched Codex. That is the same class of risk Destructive Command Guard addresses — but dcg is a hook, not a substitute for OS-level isolation. Full access removes the vendor's first two gates; your hook may be the only remaining filter.

The $HOME override pattern is especially nasty because it looks reasonable in the transcript: the model is trying to confine deletion to a temp enclave. Environment variables are powerful and easy to get wrong — set HOME=/tmp/codex-scratch, run rm -rf $HOME/*, but if the override fails silently or the shell expands the wrong variable, you are still holding a grenade in your real home directory.

This is harness engineering, not model malice. The complete agent harness guide separates what the model decides from what the harness permits — full access effectively deletes the harness's enforcement plane.


What the community said — anecdotal, same day

Reactions under Tibo's thread (cite as community response, not OpenAI policy):

VoiceTakeaway
@thesoragirlsNever give Codex full access on your main computer
@peterfotinisJoked about usage limit reset — gallows humor on a day quotas refilled
@skore_deRuns Codex inside a separate Linux user — a "Codex Jail" wrapper harness
@RedBuildsThingsGPT-4o deleted an entire hub — precedent outside GPT-5.6
@StormOrtusFull access re-enabled randomly on ChatGPT Desktop (Windows) — settings drift
@PatrickJSHook-level prevent-rm / shim rm before the agent sees the real binary
@mkageniusPer-engineer cloud devbox — isolation by default
@lionhead_kingEnabled full access because of approve fatigue — UX pushing users toward danger

Two themes repeat: isolation (jail user, devbox, cloud sandbox) and automation at the shell boundary (hooks, shims). The approve-fatigue point connects to OpenClaw safety debates — when vendors optimize for flow state, operators disable the very controls that would have blocked $HOME deletion.

July 2026 has already surfaced adjacent agent harm paths: Claude Memory Heist exfiltrated PII via browsing, GitLost weaponized prompt injection in CI agents, and Grok Build uploaded entire repos without clear opt-in. File deletion via shell is cruder — but the blast radius on an unsandboxed laptop can exceed exfiltration in recovery cost.


Builder guidance — before you burn reset quota tonight

Limit reset day refilled Claude 5-hour and weekly buckets, brought another Codex quota celebration, and doubled Cursor included usage for Grok 4.5 and Composer 2.5. That is a retention gift, not a safety upgrade. Longer runs on full access multiply exposure.

1. Never full-access on your primary machine

Treat your daily-driver laptop like production: Codex full access belongs in disposable environments only. If you would not rm -rf test on the machine, do not grant an agent unrestricted shell there.

2. Separate user, devcontainer, or cloud devbox

Patterns from the thread:

  • Linux "Codex Jail" user (@skore_de) — dedicated UID, minimal home, no SSH keys or cloud creds in $HOME
  • Devcontainer / devbox per engineer (@mkagenius) — rebuildable image; deletion loses the container, not your life
  • context-mode-style sandboxing for bulky tool output — complementary to shell isolation, not a replacement

3. Keep auto review ON

Auto review is the harness layer that would have flagged rm -rf $HOME before execution. Disabling it to move faster is the direct predicate in Tibo's chain. If you are clicking "always allow" until prompts disappear, you are manually re-enabling full access behavior.

4. Understand the $HOME override risk pattern

When you see an agent export or assign HOME=... before cleanup:

  • Stop the run and inspect whether the override actually applied (echo $HOME in the same shell session)
  • Prefer explicit paths (rm -rf /tmp/codex-abc123/) over environment indirection
  • Log working directory and effective UID in harness telemetry

5. Hook-level rm guards (PatrickJS pattern)

Add a PreToolUse or shell wrapper hook that:

  • Denies bare rm -rf outside approved temp prefixes
  • Blocks rm targeting $HOME, ~, or /
  • Optionally shims /usr/bin/rm inside the jail user to a script that requires --i-know-what-im-doing

Destructive Command Guard implements this class of policy for Codex CLI 0.125.0+ — verify a real block on your OS; hooks can fail open on parse errors.

6. Tie-in to limit reset — without repeating that post

Today's refill is the wrong day to experiment with full access on your main checkout. Use fresh quota inside an isolated workspace to benchmark GPT-5.6 Sol tasks — not to test whether you trust the model with your dotfiles. For reset mechanics (5-hour vs weekly vs banked), see limit reset day and the 5-hour cap removal timeline.


What people are asking — settings drift and precedents

Did full access turn itself back on?

@StormOrtus reported full access re-enabled randomly on ChatGPT Desktop for Windows — settings drift without an explicit user toggle. Treat permission mode as session-start checklist material: confirm sandbox + auto review before a long autonomous job, especially after app updates.

Is GPT-5.6 uniquely dangerous?

Tibo's investigation centers on GPT-5.6, but @RedBuildsThings cited GPT-4o deleting an entire hub — evidence that destructive shell mistakes span model generations when harness gates are open. The fix is environmental, not "wait for GPT-5.7."

How is this different from prompt injection?

GitLost and Memory Heist attacks trick agents via untrusted content. The $HOME deletion chain is operator-configured over-permissioning plus a variable expansion mistake — no malicious webpage required. Both classes need least privilege; only one looks like "security news."


What OpenAI is changing — and what builders should still do

Tibo committed to three vendor-side moves:

  1. Developer message updates — clearer warnings when full access removes sandbox + auto review
  2. Safer permission mode guidance — routing users away from the failure configuration
  3. Harness safeguards — likely path validation, $HOME mutation guards, or stricter deletion policies

Wait for the post-mortem for specifics. Do not pause your own controls until then.

You controlVendor may control
Separate user / devboxDefault permission mode
Auto review left enabledAuto review behavior when enabled
dcg or custom hooksDeveloper message text
No secrets in agent $HOME$HOME override detection
Backups + Git remotesPost-incident telemetry

What to watch next

SignalWhy it matters
OpenAI post-mortemExact harness diff, affected versions, recovery guidance
Full access default on DesktopSettings drift reports need official repro steps
$HOME mutation policyWill harness block or warn on env override attempts?
July 16 limit reset aftermathLonger sessions → more full-access temptation
Hook ecosystemdcg, PatrickJS-style shims, Codex Jail wrappers going mainstream

Related on explainx.ai

  • Claude Code on VPS + SSH — disposable devbox for iOS (Jul 16)
  • Destructive Command Guard — hook-level command safety
  • Limit reset day — Claude, Codex, Cursor July 16
  • ChatGPT Codex 5-hour limit removed — weekly reset context
  • What Is an Agent Harness?
  • context-mode — MCP sandbox and session memory
  • Claude Memory Heist — web_fetch exfiltration
  • GitLost — GitHub agentic workflow prompt injection
  • Grok Build repository upload secrets
  • Is OpenClaw safe? — permission fatigue context
  • DoorDash dd-cli — agent food ordering and payment trust boundaries (Jul 16)

Tibo's July 16, 2026 thread and community replies are cited as primary and anecdotal sources. Permission modes, sandbox behavior, and harness safeguards may change when OpenAI publishes its post-mortem. Verify Codex settings before autonomous runs — especially on limit reset day when fresh quota encourages longer sessions. This article is developer tooling coverage, not legal or investment advice.

Yash Thakker

Written by

Yash Thakker

Yash is an AI expert with over 300K learners. Join his workshops →

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