worktracker

简单快速的工作日志系统，专为AI助手团队设计。解决助手忘记报告工作进展的问题，确保所有工作都有记录、可追踪、可报告。

This skill appears to do what it claims: a local Python-based CLI that stores logs and status under ~/.openclaw/workspace/.worktracker and does not request secrets or perform network calls in the visible code. Before installing, consider: 1) verify the full scripts (the provided worktracker.py was partially shown) to ensure there are no hidden network calls or code paths that collect host information; 2) if you expect the env-var overrides documented in SKILL.md, confirm the script actually reads WORK_LOG_PATH/WORK_STATUS_PATH (the docs and code may be out of sync); 3) note minor metadata mismatches (Node engine in config.json and a GitHub repo URL despite 'Source: unknown') — they may indicate copied boilerplate rather than malice; 4) if you want stronger isolation, run the skill in a constrained environment or sandbox before granting it access to production data. Overall the package looks coherent and local-only, but inspect the full script for any late-added network or credential usage if you require maximum assurance.

Type: OpenClaw Skill Name: work-tracker Version: 0.1.0 The WorkTracker skill is a local utility designed for AI agents to log and track their work progress. The core logic in `scripts/worktracker.py` manages task statuses and logs using local JSON and Markdown files within the agent's workspace, with no network access or external dependencies. While `SKILL.md` and the training manual in `docs/` include 'mandatory' instructions for the agent to record its actions, these are strictly functional and aligned with the tool's stated purpose of productivity tracking, showing no evidence of malicious prompt injection or data exfiltration intent.