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pddl-skills

作者 lnj22 · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
72
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install pddl-tpp-planning-pddl-skills
功能描述
Automated Planning utilities for loading PDDL domains and problems, generating plans using classical planners, validating plans, and saving plan outputs. Sup...
安全使用建议
This skill appears to do what it says (load PDDL, run a classical planner, validate, and save plans) but the SKILL.md assumes Python libraries (unified_planning and a planner like pyperplan) and mentions a LICENSE.txt that isn't included. Before installing or invoking it: 1) confirm the agent/runtime already has unified_planning and the planner backend installed (or ask the author for a pip install spec or requirements list); 2) request the missing LICENSE.txt or verify licensing terms; 3) be aware the skill will read the PDDL files you point it at and write plan files to disk — only provide trusted inputs/paths; 4) if you want the skill to be self-contained, ask the publisher to add an install spec (pip package names and versions) or include code files so dependency installation is explicit.
功能分析
Type: OpenClaw Skill Name: pddl-tpp-planning-pddl-skills Version: 0.1.0 The skill bundle provides standard utilities for PDDL (Planning Domain Definition Language) tasks using the legitimate 'unified_planning' Python library. The functions described in SKILL.md (load-problem, generate-plan, save-plan, and validate) are consistent with their stated purpose and do not contain any evidence of malicious intent, data exfiltration, or prompt injection.
能力评估
Purpose & Capability
The name/description and the runtime instructions align: the skill is about loading PDDL files, generating and validating plans using unified_planning and a classical planner (pyperplan). That purpose legitimately requires the Python unified_planning framework and a planner backend.
Instruction Scope
Instructions are scoped to PDDL tasks (loading domain/problem files, generating/validating plans, and writing plan files). They explicitly read and write user-specified files (domain/problem/plan) which is expected for this functionality. The SKILL.md assumes access to specific Python APIs (unified_planning.io.PDDLReader, OneshotPlanner, PDDLWriter, SequentialPlanValidator) but does not instruct the agent to install or verify those dependencies.
Install Mechanism
There is no install spec and no declared dependencies. SKILL.md requires unified_planning and a planner backend (pyperplan) but the registry metadata lists no required packages, binaries, or install steps. This is an operational gap: the instructions will fail unless the runtime already has those Python libraries. Also the file notes a proprietary LICENSE.txt but no LICENSE file is present in the package manifest.
Credentials
The skill requests no environment variables, credentials, or config paths. Its file I/O is limited to user-supplied domain/problem files and writing plan outputs, which is proportional to the stated purpose.
Persistence & Privilege
The skill does not request always:true and is user-invocable only; it does not declare any persistent or privileged behavior. Autonomous invocation is allowed by platform default but is not combined with other high-risk factors 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 pddl-tpp-planning-pddl-skills
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /pddl-tpp-planning-pddl-skills 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
v0.1.0
Bulk publish from all-task-skills-dedup
元数据
Slug pddl-tpp-planning-pddl-skills
版本 0.1.0
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

pddl-skills 是什么?

Automated Planning utilities for loading PDDL domains and problems, generating plans using classical planners, validating plans, and saving plan outputs. Sup... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 72 次。

如何安装 pddl-skills?

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

pddl-skills 是免费的吗?

是的,pddl-skills 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

pddl-skills 支持哪些平台?

pddl-skills 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 pddl-skills?

由 lnj22(@lnj22)开发并维护,当前版本 v0.1.0。

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