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FlowForge Workflow Engine

v1.1.0

Run structured multi-step workflows via FlowForge engine. Use when user requests step-by-step execution, structured workflows, or when a task needs enforced...

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by @kagura-agent·MIT-0
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License
MIT-0
最后更新
2026/3/31
安全扫描
VirusTotal
无害
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OpenClaw
可疑
medium confidence
The skill's instructions largely match a workflow-runner purpose, but there are inconsistencies and trust gaps (missing declared binary requirement, no source/homepage, and an implicit npm install of an external package) that deserve verification before use.
评估建议
This skill appears to be a coherent workflow-runner, but take these precautions before installing or using it: - Verify the FlowForge CLI package (@kagura-agent/flowforge) before running npm install: inspect the package on the npm registry or its source repository (README, code, publish history). The skill bundle does not include a homepage or source link. - Because the SKILL.md requires a 'flowforge' CLI but the manifest lists no required binary, confirm that the CLI is installed and trustwort...
详细分析 ▾
用途与能力
Name/description (FlowForge Workflow Engine) align with the SKILL.md (instructions for running YAML-defined workflows). However the registry metadata claims no required binaries while the runtime docs explicitly require a 'flowforge' CLI — that mismatch suggests the manifest is incomplete. Also the skill references an npm package (@kagura-agent/flowforge) in setup.md; that is plausible for this purpose but the package/owner are not declared in registry metadata or linked by homepage/source.
指令范围
The SKILL.md stays on-topic: it instructs the agent to call the flowforge CLI, follow action types, spawn sub-agents for 'subagent' nodes, advance state, and manage workflows. It does not instruct reading unrelated system files or exfiltrating environment variables. It does reference the FlowForge DB location (~/.flowforge/flowforge.db) and CLI commands, which is expected for a local workflow engine.
安装机制
There is no install spec in the skill bundle, but setup.md instructs installing an npm package globally (npm install -g @kagura-agent/flowforge). Installing an external npm package is a moderate risk: the package origin and contents are not linked in the skill metadata (no homepage/source). The use of a global npm install and advice around altering npm global prefix or using sudo are operationally risky and should be verified before running.
凭证需求
The skill declares no required env vars or credentials (consistent with a local CLI tool). It does expect a CLI binary on PATH and will create/use a local DB at ~/.flowforge/flowforge.db. That local filesystem access is proportionate for a workflow engine, but the skill does not explicitly limit what workflows might request — workflows themselves can contain arbitrary tasks, so you should audit workflow YAMLs for requests that would touch credentials, network, or other sensitive resources.
持久化与权限
The skill is not always-enabled and does not request special agent-wide privileges. It instructs use of a local DB (~/.flowforge) and persistent workflow files in a workspace 'workflows/' directory, which is consistent with its purpose. The instruction to remove ~/.flowforge to reset state is potentially destructive (expected for a reset operation) and should be used cautiously.
安全有层次,运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发,无需署名。

运行时依赖

无特殊依赖

版本

latestv1.1.02026/3/31

v1.1.0: Skill orchestration — spawn=sessions_spawn. Clear action type mapping: spawn→sub-agent, prompt→direct, complete→done. Never execute spawn tasks in main session.

● 无害

安装命令 点击复制

官方npx clawhub@latest install agent-flowforge
镜像加速npx clawhub@latest install agent-flowforge --registry https://cn.clawhub-mirror.com

技能文档

Execute multi-step workflows defined in YAML files using the FlowForge state machine engine.

Prerequisites

FlowForge CLI must be installed. Check with:

flowforge --version

If the command fails or is not found, run the setup flow in setup.md before proceeding.

My Workflows

IntentWorkflow
(add your mappings here as you use FlowForge)

Core Loop

1. Start or Resume

# Check for active instances
flowforge active

# Resume if exists flowforge status

# Or start new flowforge start

2. Get Action

flowforge run 

Returns JSON: { action: { type, node, task, branches, ... } }

3. Execute by Action Type

type: 'spawn' — Node has executor: subagent. MUST spawn a sub-agent:

sessions_spawn(
  task: action.task,
  mode: "run",
  label: "flowforge--"
)

Wait for sub-agent to complete. Collect its output.

⚠️ NEVER execute spawn tasks yourself in the main session. The whole point of subagent nodes is delegation — they run in parallel, unblock the main session, and use the best tool for the job. If you do it yourself, you're blocking the main session and defeating the purpose.

type: 'prompt' — Node needs your direct judgment. Execute the task yourself in the main session. Use this for decision-making, lightweight checks, and coordination — not heavy implementation work.

type: 'complete' — Workflow finished. Report results to the user.

4. Advance

After getting the result (from sub-agent output or your own work):

echo "" | flowforge advance

Or:

flowforge advance --result ""

If the node had branches, include Branch: N in the result so the engine knows which path to take.

5. Repeat

Go back to step 2. Loop until type: 'complete'.

Rules

  • spawn = sub-agent. When action type is spawn, use sessions_spawn. Not exec, not a coding CLI, not doing it yourself in the main session.
  • Never skip nodes. Execute every node's task before advancing.
  • Run to completion. Execute all nodes before reporting to the user. If a node spawns a sub-agent, wait for it to finish, then advance.
  • State persists. Workflows survive session restarts. Use flowforge active to resume.
  • Post-run: Record results in your daily log.

Manual Mode

If you prefer step-by-step control instead of the run/advance JSON loop:

flowforge status          # See current task
# ... execute task ...
flowforge next            # Advance (linear node)
flowforge next --branch N # Advance (branching node)

The same spawn rules apply: if the current node has executor: subagent, spawn a sub-agent.

Creating New Workflows

See references/yaml-format.md for the full YAML spec.

name: my-workflow
description: What this workflow does
start: first-node

nodes: first-node: task: What to do (detailed instructions for the executor) executor: subagent # spawn a sub-agent for this node next: second-node

second-node: task: Make a decision based on results # executor defaults to 'inline' — agent does it directly branches: - condition: success next: done - condition: retry next: first-node

done: task: Report results terminal: true

Node Fields

  • task (required): Natural language instruction for what to do
  • executor: 'subagent' (spawn) or 'inline' (default, do it yourself)
  • next: Single next node for linear flow
  • branches: Array of {condition, next} for branching
  • terminal: true for end nodes

Troubleshooting

  • "No active instance": Run flowforge start
  • "Workflow not found": Run flowforge list to see available workflows
  • Wrong node / stuck: Use flowforge reset to restart
  • Sub-agent failed: Check the error, fix the issue, re-run the node or advance manually
数据来源:ClawHub ↗ · 中文优化:龙虾技能库
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