Auto skill build agent run ledger dashboard
Skill Arnie016/codex-prompt-templates/skills/auto-skill-build-agent-run-ledger-dashboard
Color-coded Codex prompt templates and Agent Skills for plugin-orchestrated AI coding workflows, MCP safety, repo intelligence, and automation.
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Append and summarize a lightweight local `.agent-runs/runs.jsonl` ledger (claudetop-inspired) so Codex sessions build durable observability over time. Use at the end of a significant task, after running tests, or when you want a quick “what did we do lately?” dashboard. Skip when the user only wants a one-off fix and does not care about tracking runs.
SKILL.md
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Agent Run Ledger Dashboard
Generated by: Codex Supercharge maintenance automation.
Goal: cheap, append-only run tracking without relying on proprietary telemetry.
Append a run entry
Run from the repo you worked in:
python3 plugins/codex-supercharge/scripts/agent_runs_append.py \
--task "Fix flaky auth tests" \
--model "${CODEX_MODEL:-}" \
--status ok \
--command "pytest -q" \
--notes "Root cause: clock mocking"
Notes:
--modeldefaults to$CODEX_MODELwhen set.- The script records current git branch/head + uncommitted diff stats when available.
View a dashboard summary
python3 plugins/codex-supercharge/scripts/agent_runs_report.py --days 7 --last 20
Recommended workflow
- After completing a task, run the append command once.
- When starting work, run the report command to see recent context.
- If you want richer fields (tokens/cost), add them as new keys; keep JSONL append-only.
Skip when
- The repo is sensitive and you cannot persist local logs.
- The task is a trivial one-liner and you are not doing longitudinal tracking.
References
plugins/codex-supercharge/references/agent-run-ledger.md- Pattern inspiration only (do not run blindly):
sources/claudetop
Validation
- Appending creates exactly one JSONL record for the run.
- Reports summarize the requested window without rewriting the ledger.
- Sensitive task notes are summarized or omitted before persistence.