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agent-system-memory-proactivity-ops

Audit and improve AgentSystem memory retention, proactive behavior, learning quality, and agent consistency.

Skill by mahsumaktas

IndexedMIT★ 2
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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

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.

Use cases: security, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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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.

More from mahsumaktas/agent-evolution-kit

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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

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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)