Codex cleaner
This skill should be used when the user asks to clean up Codex logs, audit Codex storage, find large Codex sessions, reduce ~/.codex disk usage, archive old Codex chats, or mentions runaway Codex chat logs/storage.From its SKILL.md
npx -y skills add daniel-p-green/codex-cleanerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
- runs commandsInstructs the agent to run 3 commands, including `python3 scripts/codex_cleaner.py audit` and 2 more.
SKILL.md
3.1 KB, 656 tokens by cl100k_base, as published. Nobody here has run it
Codex Cleaner
Audit and clean local Codex storage safely. Focus on ~/.codex session files, logs, caches, generated artifacts, and temporary files without reading chat contents during audit.
Workflow
- Start with an audit unless the user already provided recent audit output.
- Inspect storage by metadata only:
python3 scripts/codex_cleaner.py audit - Explain the largest storage areas in plain language and separate report-only database files from cleanup candidates.
- Propose the smallest useful cleanup command before running cleanup.
- Run cleanup first as a dry run:
python3 scripts/codex_cleaner.py clean --target sessions --older-than 60 - Require explicit user approval before adding
--execute.
Safety Rules
- Treat
~/.codexas the only v1 storage root unless the user passes a different root for testing. - Use audit output to identify likely wins; do not inspect, summarize, or quote chat/log contents.
- Keep sqlite, WAL, and SHM files report-only. Do not delete, vacuum, checkpoint, or mutate live databases.
- Keep cleanup dry-run by default. Add
--executeonly after the user confirms the exact command. - Prefer archiving old sessions over deleting them directly.
- Skip symlinks and surface permission errors as warnings instead of forcing access.
Script Commands
Audit
Run:
python3 scripts/codex_cleaner.py audit
Use --root <path> for fixtures or non-default local testing. Use --top <count> to change how many large files and top-level entries are shown.
Audit reports:
- Total storage under the root.
- Top-level file and directory sizes.
- Session usage grouped by
YYYY-MM. - Largest session
.jsonlfiles. - Log, sqlite, WAL, and SHM files as report-only items.
- Special storage areas such as sessions, generated images, cache, tmp,
.tmp, and archived sessions.
Clean
Run dry-run cleanup:
python3 scripts/codex_cleaner.py clean --target sessions --older-than 60
Run confirmed cleanup:
python3 scripts/codex_cleaner.py clean --target sessions --older-than 60 --execute
Supported targets:
sessions: archive old session files to~/.codex-cleaner/archives/before deleting originals.generated-images: delete old top-level generated image entries.tmp: delete old top-level entries undertmpand.tmp.
Use --archive-root <path> only for fixture tests or when the user explicitly wants archives somewhere else.
Response Pattern
When reporting results, include:
- The root audited or cleaned.
- Total size and the top few storage areas.
- Cleanup candidates and estimated recoverable size.
- Whether the run was dry-run or executed.
- Any warnings or skipped paths.
Keep recommendations conservative. If the largest files are live databases or recent sessions, say they are report-only or should be kept unless the user has a specific retention policy.
What ships with it: 6 files
29.0 KB alongside SKILL.md, 2 of them executable
agents/
- openai.yaml248 B
scripts/
- codex_cleaner.pyruns17.2 KB
tests/
- test_codex_cleaner.pyruns6.7 KB
- .gitignore49 B
- LICENSE1.0 KB
- README.md3.9 KB