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Task Detection + Proactive Thinking
作者
jason-tiger
· GitHub ↗
· v1.0.0
· MIT-0
126
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install task-detection-thinking
功能描述
Incomplete task detection + proactive thinking. Automatically scans task status, identifies anomalies, generates solutions, and attempts auto-fixes.
安全使用建议
This skill is largely what it says (scans task files and writes logs), but I recommend caution before installing:
- Review and fix the hard-coded WORKSPACE path: scripts/detect.js uses '/Users/openclaw/.openclaw/workspace'. Change this to a configurable path (env var or relative path) so it doesn't accidentally read/write files in an unexpected home directory.
- Confirm Feishu behavior: README/SKILL.md mention pushing alerts to Feishu, but the script only logs a placeholder. If you plan to enable Feishu alerts, require and provide explicit environment variables (FEISHU_TOKEN/APP_ID/etc.) and audit any added network code for endpoints and scopes.
- Inspect and sandbox first: run the script in a sandboxed environment (or with a copy of your workspace) to verify it only reads the expected HEARTBEAT.md/WORKING.md and writes task-alert.md/thinking-log.md where you want them.
- If you don't want persistent writes, modify the script to write to a safe location or disable writing. The script will create memory/hot and write logs without prompting.
- If you expect auto-fix functionality, note it is minimal/placeholder in current code; don’t rely on it to change upstream tasks automatically.
If you want me to produce a small patch to make the WORKSPACE configurable (use an env var with a fallback) and to add explicit checks or to stub Feishu integration safely, tell me and I can generate it.
功能分析
Type: OpenClaw Skill
Name: task-detection-thinking
Version: 1.0.0
The task-detection-thinking skill is a task management utility designed to monitor task status and identify anomalies like stalled or overdue items. The core logic in `scripts/detect.js` performs standard file system operations to read and write markdown files within a local workspace, and the instructions in `SKILL.md` are consistent with its stated purpose of proactive task analysis and reporting.
能力评估
Purpose & Capability
The skill's stated purpose (scan HEARTBEAT.md/WORKING.md, detect anomalies, suggest fixes) aligns with the included script which reads task files and writes detection logs. However the script uses a hard-coded absolute WORKSPACE path ('/Users/openclaw/.openclaw/workspace') rather than a relative path or an environment variable; that is brittle and unusual. Writing into the agent memory folders (memory/hot, memory/warm) is consistent with a task-skill but the hard-coded user path means it will only run correctly on a specific path and may unexpectedly read files from a user's home directory.
Instruction Scope
SKILL.md instructs the agent to read HEARTBEAT.md and WORKING.md and to push critical alerts via Feishu. The distributed code implements file reads/writes and generation of logs, which is expected. However SKILL.md promises Feishu pushes and integration with 'ClawMemory'/'three-layer memory', but the code contains only a console placeholder for Feishu (no implemented network call) and does not declare or use Feishu credentials. The 'auto-fix' behavior is advertised as attempting fixes, but the tryAutoFix function is effectively a no-op (it never performs action besides categorizing alerts), so behavior described in docs and behavior in code diverge.
Install Mechanism
No install spec — instruction-only skill with a shipped script. Nothing downloaded or executed from remote sources during install, which reduces installer risk.
Credentials
SKILL.md and README mention pushing alerts via Feishu and integration with memory/ClawMemory, but package metadata requires no environment variables or credentials. If Feishu notifications or external integrations are enabled, credentials (tokens/API keys) would normally be required; their absence in requires.env is an inconsistency and could lead to silent failures or to maintainers later adding network code that expects credentials. Also the code writes into the agent memory directory without requesting explicit permission/configuration.
Persistence & Privilege
always:false and no special privileges are requested. The script does create and write files under the workspace memory directories (memory/hot, memory/warm) — expected for this kind of skill but worth noting: it will persist detection results and thinking logs to disk within the agent workspace.
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 task-detection-thinking - 安装完成后，直接呼叫该 Skill 的名称或使用
/task-detection-thinking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: automates task anomaly detection and proactive solution generation.
- Scans HEARTBEAT.md and WORKING.md to identify stalled, blocked, overdue, duplicate, and other anomalous tasks.
- Generates multi-step analysis and up to 3 solution options per anomaly, with auto-fix attempts where possible.
- Outputs detection results and thinking logs to structured memory files; sends critical alerts via Feishu.
- Supports multiple trigger modes: heartbeat, scheduled scan, and manual command.
- Flexible configuration for detection frequency, thresholds, auto-fix attempts, and alerting options.
元数据
常见问题
Task Detection + Proactive Thinking 是什么？
Incomplete task detection + proactive thinking. Automatically scans task status, identifies anomalies, generates solutions, and attempts auto-fixes. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 126 次。
如何安装 Task Detection + Proactive Thinking？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install task-detection-thinking」即可一键安装，无需额外配置。
Task Detection + Proactive Thinking 是免费的吗？
是的，Task Detection + Proactive Thinking 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Task Detection + Proactive Thinking 支持哪些平台？
Task Detection + Proactive Thinking 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 Task Detection + Proactive Thinking？
由 jason-tiger（@opendolph）开发并维护，当前版本 v1.0.0。
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