agent-system-memory-proactivity-ops
Audit and improve AgentSystem memory retention, proactive behavior, learning quality, and agent consistency. Use when bots forget context, skip memory writes, wait for explicit prompts, or repeat the
SKILL.mdskills/agent-memory-proactivity-ops/SKILL.md
GitHubAgentSystem Memory Proactivity Ops
Use this skill to keep memory and proactivity loops healthy after config, prompt, or plugin changes.
Quick Start
- Run baseline checks:
bash scripts/proactivity_check.sh --hours 24
- Apply known remediation pack:
bash /Users/user/clawd/scripts/agent-system-plan2-remediate.sh
- Re-check and smoke-test memory jobs:
bash scripts/proactivity_check.sh --hours 6 --smoke
Workflow
- Verify scheduler contract and agent consistency metrics.
- Verify learning score, filler count, and output quality in recent memory jobs.
- Check latest runs of:
hachi-self-compound(046bb2db-42ad-4b79-96d4-f9aa1392ede8)memory-fact-extraction(079a9ab8-d706-465c-801d-741f4a2d55a3)
- Validate learning artifacts were updated recently.
- If quality is below target, tighten prompt constraints and re-run smoke checks.
Resources
scripts/proactivity_check.sh: one-command audit + optional memory smoke tests.references/quality-gates.md: acceptance thresholds and remediation sequence.