agent-system-memory-proactivity-ops
Audit and improve AgentSystem memory retention, proactive behavior, learning quality, and agent consistency.
Skill by mahsumaktas
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mahsumaktas-agent-system-memory-proactivity-ops
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agent-system-memory-proactivity-ops
What's inside
- Skill name
agent-system-memory-proactivity-ops- Description
- 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 same errors across runs.
- License
- MIT
- Instructions
- 37 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "agent-system-memory-proactivity-ops" does not match folder "agent-memory-proactivity-ops"
- files: referenced but missing: scripts/proactivity_check.sh, references/quality-gates.md
- body: contains an absolute path from the author's machine
Files (1)
- SKILL.md
SKILL.md (first lines)
# AgentSystem Memory Proactivity Ops Use this skill to keep memory and proactivity loops healthy after config, prompt, or plugin changes. ## Quick Start 1. Run baseline checks: ```bash bash scripts/proactivity_check.sh --hours 24 ``` 2. Apply known remediation pack: ```bash bash /Users/user/clawd/scripts/agent-system-plan2-remediate.sh ``` 3. Re-check and smoke-test memory jobs: ```bash bash scripts/proactivity_check.sh --hours 6 --smoke ``` ## Workflow 1. Verify scheduler contract and agent consistency metrics. 2. Verify learning score, filler count, and output quality in recent memory jobs. 3. Check latest runs of: - `hachi-self-compound` (`046bb2db-42ad-4b79-96d4-f9aa1392ede8`) - `memory-fact-extraction` (`079a9ab8-d706-465c-801d-741f4a2d55a3`) 4. Validate learning artifacts were updated recently. 5. 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.
From mahsumaktas/agent-evolution-kit, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 1, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agent-system-memory-proactivity-ops skill. Agent Mart. https://agentmart.dev/skills/mahsumaktas-agent-system-memory-proactivity-ops (last updated 2026-10-24)