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Retrospective
作者
David Furlong
· GitHub ↗
· v1.0.0
· MIT-0
147
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install retrospective
功能描述
Run a structured weekly agent retrospective. Analyses wins, failures, skill gaps, cron health, and config issues from the last 7 days. Produces honest, speci...
安全使用建议
This skill appears coherent and limited to its stated purpose, but check the following before enabling: 1) It will read your memory/ files and MEMORY.md — ensure those files don't contain secrets you don't want re-processed. 2) It will create a recurring cron job that writes to memory/ and can run autonomously; review the cron entry (schedule, payload) after first run and remove if undesired. 3) The retro may recommend installing other skills — review any recommended skills and their permissions before installing. 4) If you want a dry run, run the skill manually once rather than allowing it to auto-schedule. Overall this is coherent behavior for a retrospective skill.
功能分析
Type: OpenClaw Skill
Name: retrospective
Version: 1.0.0
The skill performs a broad 'retrospective' that includes instructions for the agent to inspect sensitive configuration data, such as API keys, environment variables, and authentication credentials (SKILL.md). While these actions are framed as maintenance and self-improvement, the processing of secrets and the automated scheduling of a recurring cron job for persistence represent high-risk behaviors. There is no evidence of intentional exfiltration, but the broad access to credentials for 'review' purposes is a significant security risk.
能力评估
Purpose & Capability
Name/description (weekly retrospective) aligns with the instructions: reading memory/, reading MEMORY.md, analysing recent runs, checking cron history, recommending skills, and writing a retro. Nothing requested is unrelated to running a retrospective.
Instruction Scope
SKILL.md's runtime steps are explicit and bounded: read memory files, check cron status, assess skills, write memory/retro-YYYY-MM-DD.md, update MEMORY.md, and optionally add a cron job. These actions are within the skill's purpose; there is no instruction to access unrelated system paths or external endpoints.
Install Mechanism
Instruction-only skill with no install spec and no code files. No downloads or package installs—minimal surface area.
Credentials
Requires no environment variables, credentials, or config paths. The SKILL.md reads local agent memory files and cron status only, which is proportionate to the retrospective function.
Persistence & Privilege
Skill will create a weekly cron job (persistent scheduled task) and write retros to memory/. This is appropriate for the purpose but is a persistent change the user should review (cron entry and files written). The skill is not always:true and does not request broader platform privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install retrospective - 安装完成后，直接呼叫该 Skill 的名称或使用
/retrospective触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release: Structured weekly agent retrospective for honest self-review.
- Analyzes concrete wins, failures, skill gaps, cron health, and configuration issues from the past 7 days.
- Produces specific, evidence-based output—avoiding generic platitudes.
- Outputs in a detailed markdown template, including tables for struggles and skill gaps.
- Auto-schedules a Friday cron job to run retrospectives weekly.
- Triggerable via several keywords, such as "retrospective" or "reflect".
- Includes explicit instructions for prioritizing actionable recommendations.
元数据
常见问题
Retrospective 是什么？
Run a structured weekly agent retrospective. Analyses wins, failures, skill gaps, cron health, and config issues from the last 7 days. Produces honest, speci... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 147 次。
如何安装 Retrospective？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install retrospective」即可一键安装，无需额外配置。
Retrospective 是免费的吗？
是的，Retrospective 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Retrospective 支持哪些平台？
Retrospective 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Retrospective？
由 David Furlong（@davidfurlong）开发并维护，当前版本 v1.0.0。
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