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FR-AI / ANALYSISWhy it is worth attention
It offers a privacy-first, open-source tool for auditing Codex behavior directly on the user's machine, with structured reports that separate evidence from interpretation and recommend reversible hygiene steps.
Who it is for
- Codex power users seeking to reduce token waste
- Developers who manage multiple Codex plugins and MCP configurations
- Privacy-conscious individuals who want local usage analytics without external data sharing
Use cases
- Review recent Codex activity over a custom 1–90 day window
- Identify which plugins consume the most tool runtime or serialized output
- Generate a Markdown or JSON report for team audits or personal optimization
- Prepare a safe, reversible plan to clean up configuration or disable unused plugins
Strengths
- Read-only operation with sqlite3 -readonly ensures no data modification
- Separates observed evidence, interpretation, and unknowns for clarity
- Supports both quick compact measurements and detailed period reviews with flexible time ranges
- Maintains full privacy by keeping prompts, responses, paths, and secrets local
Considerations
- Only compatible with macOS and Unix-like environments; no Windows support
- Relies on version-dependent telemetry schemas and cache layouts that may break across Codex updates
- Cannot provide billing attribution or real-time monitoring
README quick start
Codex Hygiene
A compact, read-only Codex skill for current-context diagnostics and private local activity reviews.
The original measurement returns small counts from recent telemetry. An explicit 1-90 day review returns Markdown or JSON that describes how Codex was used, which sources support the report, and where the evidence ends.
What It Does
- Runs the original compact measurement for recent tool-list and per-thread token telemetry.
- Builds a period review with source coverage and supported prior-window comparisons.
- Separates observed evidence, interpretation, and unknowns.
- Enriches period reviews with task timing, relative output weight, verification commands, explicit compactions, and observed
SKILL.mdreads. - Reviews the current Codex profile, including every installed plugin, MCP state, Apps availability, and project-stanza counts.
- Suggests scoped, reversible hygiene steps after measurement.
Install
Clone this repo into the current user-level Codex skills folder:
mkdir -p "$HOME/.agents/skills"
git clone https://github.com/sunflower-of-parchman/codex-hygiene.git \
"$HOME/.agents/skills/codex-hygiene"
Then invoke $codex-hygiene. Codex usually detects newly installed skills automatically. Restart Codex if the skill has not appeared.
Quick Measurement
From a shell:
SKILL_DIR="$HOME/.agents/skills/codex-hygiene"
"$SKILL_DIR/scripts/measure_codex_context.sh"
Use a specific window or thread id:
"$SKILL_DIR/scripts/measure_codex_context.sh" 5
"$SKILL_DIR/scripts/measure_codex_context.sh" 30
"$SKILL_DIR/scripts/measure_codex_context.sh" 5
The script prints compact counts. Full logs, configs, tool schemas, secrets, and environment values stay private.
Activity Review
Choose an explicit lookback from 1 to 90 days:
SKILL_DIR="$HOME/.agents/skills/codex-hygiene"
python3 "$SKILL_DIR/scripts/codex_activity_review.py" --days 1
Use any other window or generate machine-readable output:
python3 "$SKILL_DIR/scripts/codex_activity_review.py" --days 14 --format json
The review reads compact SQLite telemetry and enriches it from rollout records inside CODEX_HOME. Enrichment runs by default at every candidate size and reads files backward only to the prior comparison boundary. It adds task timing, relative serialized tool-output weight, verification-command counts
Description
Codex skill for auditing and tuning Codex Desktop context/tool surfaces
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