Task Retrospective

Conduct structured self-evaluations after tasks to analyze efficiency, accuracy, approach quality, and extract patterns for improved future performance.

This skill is an agent-facing template for doing post-task retrospectives and is internally consistent and low-risk. Before installing, consider: (1) Where will retrospectives be stored? If you ask the agent to "Review my last 5 retrospectives", the agent will need access to whatever storage (agent memory, files, or a database) — make sure that storage is appropriate and not containing sensitive data you don't want reprocessed. (2) If you use the Team Retrospective features, avoid pasting private credentials or sensitive logs into the input. (3) If you prefer the agent not to run retrospectives autonomously, keep autonomous invocation settings as-is or restrict how the agent is allowed to invoke skills. (4) Decide a retention policy for generated retrospectives (and delete any you don't want kept). Overall this skill appears coherent and safe for use, but be mindful of the data you feed it and where its outputs are stored.

Type: OpenClaw Skill Name: task-retrospective Version: 1.0.0 The skill bundle is a purely instructional framework designed to help AI agents perform self-evaluations and retrospectives. It contains no executable code, shell commands, or network activity, and its instructions in SKILL.md are focused entirely on organizational performance analysis and process improvement without any indicators of malicious intent or prompt injection risks.