novel-orchestrator

v1.0.0

用于长篇网络小说协作生产与流程统筹。适用于写章节、续写、重写、救文、审稿、分卷规划、长线结构调整,以及任何需要在 manager、planner、writer、checker 之间进行任务路由、协作编排、返修闭环和阶段推进的小说任务。当用户要求创建小说agent、初始化小说工作流、设置小说创作环境时,使用此ski...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
The name/description describe orchestrating multi-role novel production and the repository contains templates, routing rules, workflow docs, and helper scripts exactly for that purpose. Required resources (templates, agent configs, chapter scripts) are appropriate and proportional.
Instruction Scope
SKILL.md and references instruct creating agent directories under ~/.openclaw/agents, copying template files into a user-selected workspace, and updating openclaw.json. All steps are presented as user-confirmed actions. The runtime scripts only read chapter files and compute counts/checks; they do not access unrelated system files or network endpoints. Note: the skill will modify user configuration files (openclaw.json and agent dirs) if the user confirms.
Install Mechanism
There is no install spec (instruction-only) and two small Python helper scripts; nothing is downloaded from remote URLs or installed silently. This is low-risk from an install perspective.
Credentials
The skill itself does not require environment variables, but the provided agent template auth-profiles/models reference MOONSHOT_API_KEY and XIAOMI_API_KEY (standard placeholders for model providers). These are expected for agents that may call external LLM providers, but the skill does not itself attempt to read them or exfiltrate them. Users should be aware templates expect those env vars if they later enable model access.
Persistence & Privilege
always:false and autonomous invocation defaults are normal. The skill's configuration-guide will create agent config directories under the user's home and update openclaw.json to register agents and enable agent-to-agent tooling. This is consistent with an orchestrator, but it does write configuration to the user's environment and will require a gateway restart to take effect.
Assessment
This skill appears coherent and intended for setting up local novel-authoring agents. Before running the automated setup or executing scripted steps: 1) Review the files it will copy (assets/agent-templates/*) to ensure you approve the agent configs; 2) Backup your openclaw.json (the skill suggests adding agent entries and enabling agentToAgent); 3) Be aware the templates reference MOONSHOT_API_KEY and XIAOMI_API_KEY — don't populate environment secrets unless you trust the models/providers and want agents to call them; 4) The included Python scripts only read chapter files and do word checks/frontmatter validation (no networking), so they are safe to inspect and run locally; 5) Prefer confirming each step manually (SKILL.md already instructs user confirmation) rather than blind automation. If you want extra assurance, run the PowerShell/manual commands shown in references/agent-setup.md yourself rather than allowing an automated script to perform changes.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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