/codex-log-guard
Diagnose excessive Codex local SQLite diagnostic log writes with read-only evidence by default. Use when a user mentions logs_2.sqlite, logs_2.sqlite-wal, block_log_inserts, SSD/TBW wear, or explicitly asks to protect, clean up, verify, or restore Codex diagnostic logging.
$ npx -y skills add majiayu000/spellbook --skill codex-log-guard --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/codex-log-guard
Context preview
The summary Claude sees to decide when to auto-load this skill.
Diagnose excessive Codex local SQLite diagnostic log writes with read-only evidence by default. Use when a user mentions logs_2.sqlite, logs_2.sqlite-wal, block_log_inserts, SSD/TBW wear, or explicitly asks to protect, clean up, verify, or restore Codex diagnostic logging.
SKILL.md
codex-log-guard.SKILL.mdname: codex-log-guard
description: Diagnose excessive Codex local SQLite diagnostic log writes with read-only evidence by default. Use when a user mentions logs_2.sqlite, logs_2.sqlite-wal, block_log_inserts, SSD/TBW wear, or explicitly asks to protect, clean up, verify, or restore Codex diagnostic logging.
Codex Log Guard
Overview
Diagnose Codex persistent diagnostic logging from local evidence, then give a concise conclusion and the safest next action. Do not make the user choose from a command menu.
Operating Contract
Select one mode from the current user request:
- `diagnose_only` is the default for check, inspect, explain, or verify requests. It is read-only.
- `protect` requires an explicit request to stop or mitigate log writes. It may install and verify `block_log_inserts`, but it does not delete rows or vacuum files.
- `cleanup` requires an explicit current request to reclaim disk space or clean up logs. It first installs protection when needed, creates and verifies a timestamped backup, and only then deletes log rows and vacuums.
- `restore` requires an explicit request to resume diagnostic logging. It may drop only the known `block_log_inserts` trigger.
Generic wording such as "处理", "修一下", or "止血" selects `protect`, not `cleanup`. Prior approval does not carry into a later run. If the requested write mode is ambiguous, return the `diagnose_only` report and the exact proposed mutation without applying it.
Direct actions:
- Run local read-only file, SQLite schema, row, and open-process checks.
- Apply only the mutation authorized by the selected mode and verify its result.
Escalate before:
- Touching any database outside the two declared Codex log paths, deleting a backup, killing a process, or changing remote telemetry or credentials.
Evidence-backed pushback:
- Reject cleanup when protection is unverified, the backup check failed, or sampled row IDs still move. Cite the exact database path and failed command instead of treating file size as proof.
Feedback loop:
- When a new schema, active path, or false-success signal is confirmed more than once, update this Skill's diagnosis rules and a focused contract test before automating that case.
`agents/openai.yaml` contains discovery UI metadata only; it is not an operational instruction source.
Default Flow
When the user asks to "check", "看看", "诊断", or asks whether the local machine is affected:
1. Inspect all candidate live database files and schemas:
- `~/.codex/logs_2.sqlite`
- `~/.codex/sqlite/logs_2.sqlite`
2. Identify which candidate database is currently held by Codex processes. 3. Check whether `block_log_inserts` already exists on each candidate with a `logs` table. 4. Measure whether `logs` is still being written using `COUNT(*), MIN(id), MAX(id)` samples. Treat `MAX(id)` or `MIN(id)` movement with stable `COUNT(*)` as active churn, not necessarily disk growth. 4. Inspect low-level log volume with `TRACE`/`DEBUG` counts and top noisy targets. 5. Check which Codex processes currently hold each candidate database. 6. Return a diagnosis with:
- current state: healthy / protected / affected historically / actively writing / actively growing on disk / missing database / blocked
- evidence: file sizes, trigger state, row/min-id/max-id samples, level distribution, active path
- recommended next action: do nothing / install trigger / cleanup later / cleanup now / restore logging
7. Do not ask the user which command to run. Choose the diagnosis path from the evidence.
In `protect` mode:
1. Install `block_log_inserts` first. 2. Verify that `COUNT(*), MAX(id)` stops growing. 3. Report the protected database path and fresh samples. Do not delete or vacuum rows.
In `cleanup` mode:
1. Complete and verify protection first. 2. Create a timestamped SQLite `.backup` and require a non-empty file plus a successful `PRAGMA quick_check` result. 3. Delete log rows, vacuum, and checkpoint the WAL. 4. Report the backup path and final file sizes.
In `restore` mode:
1. Drop `block_log_inserts`. 2. Sample `COUNT(*), MAX(id)` to confirm logging resumes or stays quiet.
Evidence Commands
Run direct shell/SQLite commands. Use only the needed subset for the user's request; do not paste a menu back to the user.
Inspect files:
for db in ~/.codex/logs_2.sqlite ~/.codex/sqlite/logs_2.sqlite; do
ls -lh "$db"* 2>/dev/null
du -h "$db"* 2>/dev/null
done
After `lsof` identifies the active candidate, validate the selected path in the same shell command before running any later SQLite snippet:
: "${CODEX_LOG_DB:?set CODEX_LOG_DB to the verified active candidate}"
case "$CODEX_LOG_DB" in
"$HOME/.codex/logs_2.sqlite"|"$HOME/.codex/sqlite/logs_2.sqlite") ;;
*) echo "refusing unexpected Codex log database path" >&2; exit 2 ;;
esac
readonly db="$CODEX_LOG_DB"Do not supply a default. If no active path can be proven, stay in `diagnose_only` and report the ambiguity.
Check schema and trigger:
sqlite3 "$db" ".tables"
sqlite3 "$db" "PRAGMA table_info(logs);"
sqlite3 "$db" "SELECT name, tbl_name, sql FROM sqlite_master WHERE type='trigger' AND name='block_log_inserts';"
Sample writes and growth:
for i in 1 2 3; do
date '+%F %T'
sqlite3 "$db" "SELECT COUNT(*) AS rows, MIN(id) AS min_id, MAX(id) AS max_id FROM logs;"
stat -f '%N %z bytes mtime=%Sm' "$db" "$db-wal" "$db-shm" 2>/dev/null
sleep 10
done
Inspect levels and noisy targets:
sqlite3 "$db" "SELECT level, COUNT(*) AS n, ROUND(SUM(estimated_bytes)/1024.0/1024.0, 1) AS estimated_mib FROM logs GROUP BY level ORDER BY n DESC;"
sqlite3 "$db" "SELECT target, level, COUNT(*) AS n, ROUND(SUM(estimated_bytes)/1024.0/1024.0, 1) AS estimated_mib FROM logs GROUP BY target, level ORDER BY n DESC LIMIT 15;"
Check open processes:
lsof ~/.codex/logs_2.sqlite ~/.codex/logs_2.sqlite-wal ~/.codex/logs_2.sqlite-shm \
~/.codex/sqlite/logs_2.sqlite ~/.codex/sqlite/logs_2.sqlitRead more
name: codex-log-guard description: Diagnose excessive Codex local SQLite diagnostic log writes with read-only evidence by default. Use when a user mentions logs_2.sqlite, logs_2.sqlite-wal, block_log_inserts, SSD/TBW wear, or explicitly asks to protect, clean up, verify, or restore Codex diagnostic logging.
Codex Log Guard
Overview
Diagnose Codex persistent diagnostic logging from local evidence, then give a concise conclusion and the safest next action. Do not make the user choose from a command menu.
Operating Contract
Select one mode from the current user request:
- `diagnose_only` is the default for check, inspect, explain, or verify requests. It is read-only.
- `protect` requires an explicit request to stop or mitigate log writes. It may install and verify `block_log_inserts`, but it does not delete rows or vacuum files.
- `cleanup` requires an explicit current request to reclaim disk space or clean up logs. It first installs protection when needed, creates and verifies a timestamped backup, and only then deletes log rows and vacuums.
- `restore` requires an explicit request to resume diagnostic logging. It may drop only the known `block_log_inserts` trigger.
Generic wording such as "处理", "修一下", or "止血" selects `protect`, not `cleanup`. Prior approval does not carry into a later run. If the requested write mode is ambiguous, return the `diagnose_only` report and the exact proposed mutation without applying it.
Direct actions:
- Run local read-only file, SQLite schema, row, and open-process checks.
- Apply only the mutation authorized by the selected mode and verify its result.
Escalate before:
- Touching any database outside the two declared Codex log paths, deleting a backup, killing a process, or changing remote telemetry or credentials.
Evidence-backed pushback:
- Reject cleanup when protection is unverified, the backup check failed, or sampled row IDs still move. Cite the exact database path and failed command instead of treating file size as proof.
Feedback loop:
- When a new schema, active path, or false-success signal is confirmed more than once, update this Skill's diagnosis rules and a focused contract test before automating that case.
`agents/openai.yaml` contains discovery UI metadata only; it is not an operational instruction source.
Default Flow
When the user asks to "check", "看看", "诊断", or asks whether the local machine is affected:
1. Inspect all candidate live database files and schemas:
- `~/.codex/logs_2.sqlite`
- `~/.codex/sqlite/logs_2.sqlite`
2. Identify which candidate database is currently held by Codex processes. 3. Check whether `block_log_inserts` already exists on each candidate with a `logs` table. 4. Measure whether `logs` is still being written using `COUNT(*), MIN(id), MAX(id)` samples. Treat `MAX(id)` or `MIN(id)` movement with stable `COUNT(*)` as active churn, not necessarily disk growth. 4. Inspect low-level log volume with `TRACE`/`DEBUG` counts and top noisy targets. 5. Check which Codex processes currently hold each candidate database. 6. Return a diagnosis with:
- current state: healthy / protected / affected historically / actively writing / actively growing on disk / missing database / blocked
- evidence: file sizes, trigger state, row/min-id/max-id samples, level distribution, active path
- recommended next action: do nothing / install trigger / cleanup later / cleanup now / restore logging
7. Do not ask the user which command to run. Choose the diagnosis path from the evidence.
In `protect` mode:
1. Install `block_log_inserts` first. 2. Verify that `COUNT(*), MAX(id)` stops growing. 3. Report the protected database path and fresh samples. Do not delete or vacuum rows.
In `cleanup` mode:
1. Complete and verify protection first. 2. Create a timestamped SQLite `.backup` and require a non-empty file plus a successful `PRAGMA quick_check` result. 3. Delete log rows, vacuum, and checkpoint the WAL. 4. Report the backup path and final file sizes.
In `restore` mode:
1. Drop `block_log_inserts`. 2. Sample `COUNT(*), MAX(id)` to confirm logging resumes or stays quiet.
Evidence Commands
Run direct shell/SQLite commands. Use only the needed subset for the user's request; do not paste a menu back to the user.
Inspect files:
for db in ~/.codex/logs_2.sqlite ~/.codex/sqlite/logs_2.sqlite; do ls -lh "$db"* 2>/dev/null du -h "$db"* 2>/dev/null done
After `lsof` identifies the active candidate, validate the selected path in the same shell command before running any later SQLite snippet:
: "${CODEX_LOG_DB:?set CODEX_LOG_DB to the verified active candidate}"
case "$CODEX_LOG_DB" in
"$HOME/.codex/logs_2.sqlite"|"$HOME/.codex/sqlite/logs_2.sqlite") ;;
*) echo "refusing unexpected Codex log database path" >&2; exit 2 ;;
esac
readonly db="$CODEX_LOG_DB"Do not supply a default. If no active path can be proven, stay in `diagnose_only` and report the ambiguity.
Check schema and trigger:
sqlite3 "$db" ".tables" sqlite3 "$db" "PRAGMA table_info(logs);" sqlite3 "$db" "SELECT name, tbl_name, sql FROM sqlite_master WHERE type='trigger' AND name='block_log_inserts';"
Sample writes and growth:
for i in 1 2 3; do date '+%F %T' sqlite3 "$db" "SELECT COUNT(*) AS rows, MIN(id) AS min_id, MAX(id) AS max_id FROM logs;" stat -f '%N %z bytes mtime=%Sm' "$db" "$db-wal" "$db-shm" 2>/dev/null sleep 10 done
Inspect levels and noisy targets:
sqlite3 "$db" "SELECT level, COUNT(*) AS n, ROUND(SUM(estimated_bytes)/1024.0/1024.0, 1) AS estimated_mib FROM logs GROUP BY level ORDER BY n DESC;" sqlite3 "$db" "SELECT target, level, COUNT(*) AS n, ROUND(SUM(estimated_bytes)/1024.0/1024.0, 1) AS estimated_mib FROM logs GROUP BY target, level ORDER BY n DESC LIMIT 15;"
Check open processes:
lsof ~/.codex/logs_2.sqlite ~/.codex/logs_2.sqlite-wal ~/.codex/logs_2.sqlite-shm \
~/.codex/sqlite/logs_2.sqlite ~/.codex/sqlite/logs_2.sqlitCross-runtime skills for Claude Code, Codex, and multi-agent workflows.
Repo: majiayu000/spellbook
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