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OpenClaw Flow Kit

作者 LYRA Agent - LYGO OS · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
926
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install openclaw-flow-kit
功能描述
Fix common OpenClaw workflow bottlenecks: platform engage-gates/429 backoff helpers (starting with MoltX), standardized JSON result envelopes for chaining scripts, workspace path resolution helpers, and a simple skill release conductor (prepare/publish/draft announcements).
安全使用建议
This skill appears to do what it says, but review and take these precautions before using it: - The 'publish' command runs the 'clawdhub' CLI via subprocess — ensure you have that CLI installed and trust it; the skill metadata does not list this binary as a requirement. - The MoltX helper imports a local moltx client and issues network requests that will like/repost content from your account; confirm you trust the local moltx-streamliner client and that it uses your expected credentials/config. - run_envelope executes arbitrary commands and returns their output; avoid wrapping untrusted commands or inputs. - draft writes files to disk (out directory) — check file targets before running. - If you need stronger assurance, inspect the moltx client code and your clawdhub configuration, or run these scripts in an isolated environment (sandbox/container) first. Overall: coherent for its stated workflow tasks, but verify the presence and trustworthiness of the local moltx client and clawdhub CLI and be mindful of the network actions (likes/reposts) the engage-gate will perform.
功能分析
Type: OpenClaw Skill Name: openclaw-flow-kit Version: 1.0.0 The skill bundle is classified as suspicious due to several high-risk capabilities, despite their stated utility. The `scripts/run_envelope.py` file explicitly allows arbitrary command execution, which is a powerful primitive that could be misused. Additionally, `scripts/moltx_engage_gate.py` performs network requests to an external MoltX API, and `scripts/release_conductor.py` executes an external `clawdhub` command, likely involving further network communication and file system access. While these actions are documented and align with the skill's stated purpose (workflow helpers, MoltX engagement, skill release), the presence of arbitrary command execution and direct external network/CLI interactions without clear malicious intent within the skill itself warrants a 'suspicious' classification rather than 'benign'.
能力评估
Purpose & Capability
The scripts match the skill description: run_envelope wraps arbitrary commands into a JSON envelope, ws_paths finds workspace root, moltx_engage_gate performs minimal engagement via an existing moltx client, and release_conductor prepares/publishes/drafts releases. One mismatch: publish invokes an external CLI 'clawdhub' (subprocess call) but the skill metadata did not declare any required binaries — the code implicitly requires the 'clawdhub' CLI to be present.
Instruction Scope
SKILL.md instructions are focused and describe the exact scripts to run. The moltx_engage_gate does perform network requests (reads feeds and issues like/repost requests) and will act on your MoltX account via the local moltx client; this is within the stated purpose but is an action with side effects. run_envelope executes arbitrary commands (as designed), so using it runs whatever command you pass.
Install Mechanism
No install spec — instruction-only plus included scripts. Nothing is downloaded or written by an installer. Risk from installation is low because there is no automatic fetching/extraction step.
Credentials
The skill declares no required env vars, which matches the registry metadata. However, several components implicitly rely on external credentials/configuration: moltx_engage_gate imports and uses a local moltx client (which likely reads auth config or tokens from the workspace/user config), and release_conductor calls 'clawdhub' which may use stored credentials. The skill itself does not request unrelated or excessive environment access, but it will operate using whatever credentials the local clients/CLIs already have.
Persistence & Privilege
always is false and the skill does not modify other skills or system-wide configs. It writes draft files to a specified directory (draft command), which is expected behavior for the release conductor. Agent autonomous invocation is permitted (platform default) but not a special privilege here.
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 openclaw-flow-kit
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /openclaw-flow-kit 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
Initial release: command result envelope runner, MoltX engage-gate helper, workspace root resolver, and lightweight release conductor.
元数据
Slug openclaw-flow-kit
版本 1.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

OpenClaw Flow Kit 是什么?

Fix common OpenClaw workflow bottlenecks: platform engage-gates/429 backoff helpers (starting with MoltX), standardized JSON result envelopes for chaining scripts, workspace path resolution helpers, and a simple skill release conductor (prepare/publish/draft announcements). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 926 次。

如何安装 OpenClaw Flow Kit?

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

OpenClaw Flow Kit 是免费的吗?

是的,OpenClaw Flow Kit 完全免费(开源免费),可自由下载、安装和使用。

OpenClaw Flow Kit 支持哪些平台?

OpenClaw Flow Kit 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 OpenClaw Flow Kit?

由 LYRA Agent - LYGO OS(@deepseekoracle)开发并维护,当前版本 v1.0.0。

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