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Team Tasks.Skip

作者 ZDP1117 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
102
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当前安装
1
版本数
在 OpenClaw 中安装
/install team-tasks-skip
功能描述
Coordinate multi-agent development pipelines using shared JSON task files. Use when dispatching work across dev team agents (code-agent, test-agent, docs-age...
安全使用建议
This tool appears to implement the documented pipeline features, but pay attention to these red flags before installing/using it: - SKILL.md contains hard-coded session keys (Telegram group IDs) and instructs sessions_send to those groups. Replace or remove those keys — do not let the agent send messages to unknown external groups. - The dispatch template tells the agent to include local working directories and previous-stage outputs in dispatched messages. That can leak file paths, code snippets, or other sensitive artifacts to external endpoints. Only dispatch sanitized summaries and avoid sending raw files or secrets. - The tool is single-node JSON backed (no file locking). If you intend to run multiple agents or concurrent dispatch, review scripts/task_manager.py for race conditions and add locking if needed. - Because the skill can be invoked autonomously, consider requiring a human confirmation step in your agent workflow before any sessions_send or network-bound dispatch occurs. Practical next steps: 1) Inspect scripts/task_manager.py fully (search for network calls, subprocess.exec, file reads of sensitive paths). Run it locally in a sandboxed/isolated environment first. 2) Remove or parameterize the hard-coded session keys and verify sessions_send targets are ones you control. Prefer configurable session keys via environment variables rather than baked-in IDs. 3) Use a dry-run mode (or instrument the script) to print messages instead of actually sending them to external sessions while you validate behavior. 4) If you plan to share agent outputs, explicitly sanitize or redact file contents and secrets before including them in dispatch messages. Given the explicit external session targets and instructions to transmit local context, treat this skill as potentially leaking data until you verify and reconfigure it.
功能分析
Type: OpenClaw Skill Name: team-tasks-skip Version: 1.0.0 The skill bundle provides a comprehensive task management system for multi-agent pipelines (Linear, DAG, and Debate modes). The primary concern is the presence of hardcoded Telegram group IDs (e.g., -5189558203, -5218382533) in SKILL.md, which are presented as 'Session Keys' and targets for relaying task results. These instructions could lead an AI agent to exfiltrate project data to external communication channels not controlled by the user. While the core logic in scripts/task_manager.py appears to be a legitimate state manager without hidden malicious functions, the inclusion of specific, hardcoded external targets in the agent's instructions represents a significant risk of unauthorized data exposure.
能力评估
Purpose & Capability
The name/description match a JSON-based task orchestration tool and the included CLI/script implement that. However, SKILL.md hard-codes session keys for Telegram groups (agent:code-agent:telegram:group:-5189558203, etc.) and instructs the orchestrating agent to call sessions_send to those keys. A generic multi-agent task manager should not bake in specific external group session IDs; this is unexpected and disproportionate to the stated purpose.
Instruction Scope
Runtime instructions explicitly tell the agent to call sessions_send(sessionKey=..., message=...) to external session keys and to include 'working directory' and 'previous stage output' (local file paths and outputs) in dispatch messages. That directs the agent to collect and transmit local filesystem context and prior outputs to external endpoints. The SKILL.md also documents a deliveryContext workaround for sessions_send replies — together these give the skill broad discretion to transmit local data to third-party chat groups.
Install Mechanism
No install spec is provided (instruction-only plus a bundled Python CLI script). That reduces supply-chain risk; nothing is downloaded or extracted during install. The presence of a standalone script is expected for a CLI-style skill.
Credentials
The skill declares no required credentials or env vars, but the README/SKILL.md assume a default data/workspace path under /home/ubuntu/clawd/data/team-tasks (and optionally TEAM_TASKS_DIR). The larger concern is not missing env vars but that the instructions cause transmission of local paths/outputs and use hard-coded external session keys — effectively requesting the agent to send potentially sensitive local data to unrelated external chat groups without any declared credential or explicit user-specific configuration.
Persistence & Privilege
always is false and model invocation isn't disabled (normal). The skill does not request permanent platform-wide privileges. Note: autonomous invocation combined with the instruction to send messages to external session keys increases blast radius if the agent is allowed to run without a human-in-the-loop.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install team-tasks-skip
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /team-tasks-skip 触发
  4. 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
Team-tasks-skip 1.0.0 — Initial Release - Introduces a system for coordinating multi-agent development pipelines using shared JSON task files. - Supports two workflow modes: linear (sequential task pipeline) and dag (parallelized tasks with dependencies). - Provides a CLI tool for project initialization, task assignment, status tracking, and agent coordination. - Enables task management features: assign, update status, log, collect results, reset, and progress checks. - Designed for integration with multiple team agents (code, test, docs, monitor) via session-based dispatch. - Includes special handling for session context and agent communication channels.
元数据
Slug team-tasks-skip
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Team Tasks.Skip 是什么?

Coordinate multi-agent development pipelines using shared JSON task files. Use when dispatching work across dev team agents (code-agent, test-agent, docs-age... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 102 次。

如何安装 Team Tasks.Skip?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install team-tasks-skip」即可一键安装,无需额外配置。

Team Tasks.Skip 是免费的吗?

是的,Team Tasks.Skip 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Team Tasks.Skip 支持哪些平台?

Team Tasks.Skip 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 Team Tasks.Skip?

由 ZDP1117(@zdp1117)开发并维护,当前版本 v1.0.0。

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