一键导入
self-review
Run an agent self-review for skill and prompt improvements, including script extraction opportunities and token-conscious workflow upgrades.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Run an agent self-review for skill and prompt improvements, including script extraction opportunities and token-conscious workflow upgrades.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Monitor CI conservatively with snapshot-first status checks and actionable failure triage.
Submit a pull request, request review, triage comments, fix issues, and use script-driven review waits with a bounded timeout before merge/cleanup. Use when implementation is complete and the branch is ready for PR handling end to end.
Audit and reconcile drift between agent/prompt docs and actual runtime capabilities in MemorySmith services/controllers.
Run a repeatable hygiene audit over Data/Memories and Data/Pages for drift, stale facts, broken source links, and cleanup candidates.
Run a MemorySmith LLM council review for high-impact decisions. Use when evaluating schema changes, retrieval/search behavior, chat or agent write governance, wiki conventions, or long-term architecture tradeoffs with explicit dissent, risks, confidence, and acceptance criteria.
Shared core workflow for MemorySmith task execution: scope, evidence, minimal-change implementation, validation, and tracking updates.
| name | self-review |
| description | Run an agent self-review for skill and prompt improvements, including script extraction opportunities and token-conscious workflow upgrades. |
| argument-hint | Review scope, urgency, and output format |
| user-invocable | true |
| disable-model-invocation | false |
Inherits from task-core-loop.
Use this to periodically review and improve:
Prefer MCP tooling first for reads/writes where available; propose script hooks only for repeated operations that are not already covered by MCP tools.
Data/Pages/requests with:
/tasks records when a recommendation is significant enough to merit execution tracking.