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Agent Skill · 研究检索

hplan(hplan 搜索)

hplan 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

hplan 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 24,619。

总安装 3,968周安装 167GitHub Stars 5下载 1,389核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hplan(hplan 搜索)
来源仓库:https://github.com/noirewinter/hplan
安装命令:
openclaw skills install hplan
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install hplan

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

针对多阶段复杂任务提供分层持续规划与分解策略。适合项目管理、科研实验或产品开发中的阶段性目标拆解。支持动态调整计划并根据反馈迭代优化执行路径。hplan 属于研究检索类 Skill,可作为该场景下的辅助能力补充。输出包含时间线、责任人与交付物清单的完整任务蓝图。建议结合具体资源约束与风险因素定制个性化计划方案。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install hplan;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

hplan 怎么安装?

在终端执行 openclaw skills install hplan。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

hplan 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

hplan 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

hplan 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

hplan 用的人多吗?

公开数据是累计安装 3,968 次,近一周安装 167 次,下载 1,389 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

hplan 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
hplan

hplan 搜索 · 本页

3,9685需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
hplan
description
>
version
1.0.0
metadata
openclaw
emoji
📋
homepage
https://github.com/Noirewinter/hplan
files

hplan — Hierarchical Persistent Planning

Use the file system as persistent working memory for complex multi-phase tasks. This skill solves two problems that arise in long task executions:

  • Goal drift — the agent gradually forgets the original objective as the work progresses
  • Spec loss — detailed requirements, deliverables, and dependencies vanish from context

Core Idea

Context window = RAM (volatile, limited)
File system    = Disk (persistent, unlimited)
Memory system  = Long-term recall (cross-session, searchable)
→ Task structure and specs go to .plan/ (file system)
→ Key milestones and decisions go to memory (MEMORY.md / daily notes)
→ The overview stays concise for quick re-reading
→ All three layers work together to prevent drift and loss

.plan/ Directory Structure

All plan files are stored in the .plan/ directory under the current workspace:

.plan/
├── overview.md              ← Global summary (≤25 lines, re-read frequently)
├── decisions.md             ← Decision log
├── errors.md                ← Error log
└── phases/
    ├── phase1_xxx/
    │   ├── spec.md          ← Detailed spec for this phase
    │   └── checklist.md     ← Item-by-item completion status
    ├── phase2_xxx/
    │   └── ...
    └── ...

Use the templates in templates/ as starting points for each file. Always use relative paths (.plan/...) when reading and writing plan files.

Integration with OpenClaw Memory

hplan uses the file system for structured task data (.plan/ directory) and OpenClaw's memory system for cross-session awareness. They serve different purposes:

LayerWhat it storesWhy
.plan/ filesFull specs, checklists, detailed plansStructured, complete, not subject to compaction
MEMORY.mdTask goal, current phase, key decisionsSurvives session restarts, loaded automatically
Daily notesProgress snapshots, phase completionsSearchable history, compaction-safe via memory

When to write to memory

  • Plan creation: Save the task goal and phase list to memory ("Active hplan: [goal], phases: [list], plan at .plan/")
  • Phase completion: Save a progress snapshot ("hplan progress: completed phase2_xxx, now on phase3_xxx, 2/4 phases done")
  • Important decisions: When recording in decisions.md, also save a one-line summary to memory
  • Session ending with incomplete work: Save current state ("hplan paused: phase2_xxx in_progress (3/5), next step: [description]")

When to search memory

  • New session: Use memory_search("hplan") to quickly find if there's an active plan and what state it was in
  • Resuming after interruption: Search for the latest progress snapshot to orient quickly
  • Cross-referencing past decisions: Search memory for decision context from earlier sessions

Mandatory Behaviors

Since this environment does not have automatic hook injection, you must follow these behaviors manually to maintain plan awareness:

1. Check .plan/ before any action

This is the first thing to do in every conversation, before any file writes.

Check if .plan/overview.md already exists:

  • Exists with incomplete phases: Show the user the current goal and progress, then ask: "There is an unfinished plan. Would you like to continue it, or discard it and start a new plan?" Wait for the user's answer before doing anything else.
  • Exists with all phases complete: Silently delete the entire .plan/ directory and proceed normally.
  • Does not exist: Proceed normally.

Never overwrite or modify an existing .plan/ without checking its status first.

2. Re-read overview.md frequently

Before every significant action (producing deliverables, making decisions, starting a new step), re-read .plan/overview.md to stay aligned with the goal and current phase. This is the most important behavior — it prevents goal drift.

3. Re-read the current phase spec before working

When starting work on any phase, always read the full spec.md and checklist.md for that phase first. Do not skip this step.

4. Update progress after each subtask

After completing a subtask, immediately update:

  • The phase's checklist.md ([ ] → [x])
  • The progress count in overview.md (e.g., in_progress (3/6))

5. Context recovery on new conversations

When a user says "continue" or references an existing plan:

  1. First, use memory_search("hplan") to find the latest plan state
  2. Then check if .plan/overview.md exists and read it
  3. Read the current phase's spec.md and checklist.md
  4. Confirm the current state with the user before proceeding

6. Save progress before session ends

When the conversation is ending with incomplete phases:

  • Save the current state to memory: goal, current phase, progress count, and next action
  • This ensures the next session can pick up quickly even before reading .plan/ files

7. Check completion before finishing

Before ending your response on a planning task, verify whether all phases in overview.md are marked [x]. If incomplete phases remain, continue working or inform the user about remaining tasks. The user can exit the plan at any time by deleting the .plan/ directory.

Workflow

Step 1: Create the Plan

After receiving a complex task:

  1. Check .plan/ status as described in Mandatory Behavior #1
  2. Create the .plan/ directory structure
  3. Write overview.md using the template (≤25 lines)
  4. Create phase directories with spec.md (≤60 lines each) and checklist.md
  5. Create decisions.md and errors.md
  6. Save the task goal and phase list to memory for cross-session recall

Step 2: User Confirmation (cannot be skipped)

Present the plan to the user and wait for explicit confirmation before executing.

What to show:

  • The full overview.md content (goal and phase breakdown)
  • A summary of each phase's spec.md (key deliverables and scope)
  • Total number of phases

What to ask:

  • Is the phase breakdown reasonable? Need to add, remove, or split phases?
  • Is the scope for each phase correct? Anything missing?
  • Ready to start execution?

Iterating on the plan:

  • If the user suggests changes, update the plan files accordingly
  • Present the updated plan and ask for confirmation again
  • Repeat until the user explicitly agrees
  • Keep overview.md and phase directories in sync during any modifications: adding a phase means both an overview entry AND a new directory; removing a phase means both are deleted

Only proceed to execution after the user explicitly confirms.

Step 3: Execute Phase by Phase

  1. Read the current phase's spec.md and checklist.md in full
  2. Work through checklist items one by one
  3. Update checklist.md after each completed item
  4. When a phase is complete:

- Update overview.md and move to the next phase - Save a progress snapshot to memory

Step 4: Phase Switching

When moving to the next phase:

  1. Mark the completed phase as [x] ... → complete in overview.md
  2. Update current_phase to the next phase ID
  3. Read the new phase's spec.md and checklist.md before starting work
  4. Save the phase transition to memory

Step 5: Error Handling

1st failure: Diagnose and fix → record in errors.md
2nd failure: Try a different approach → record in errors.md
3rd failure: Re-examine assumptions → update spec.md
Still failing: Explain the situation to user, request guidance

Plan Lifecycle

New conversation with existing .plan/

When a new conversation starts, check if .plan/overview.md exists:

  • Has incomplete phases: Ask the user whether to continue the existing plan or discard it and start fresh. Wait for the user's decision before proceeding.
  • All phases complete: Delete the entire .plan/ directory automatically, then proceed with the new task.

After plan completion

When all phases are marked [x]:

  1. Save a completion summary to memory: "hplan completed: [goal], all N phases done"
  2. Inform the user that all tasks are complete

overview.md Format (≤25 lines)

# [Project Name]
current_phase: phase2_xxx

## Goal
[One sentence describing the final objective]

## Phases
- [x] phase1_xxx: [Phase description] → complete
- [ ] phase2_xxx: [Phase description] → in_progress (2/4)
- [ ] phase3_xxx: [Phase description] → pending

## Blockers
None

## Last Decision
[One-sentence summary]

## Last Error
None

Never put detailed task descriptions, lengthy requirements, or step-by-step procedures in overview.md. Those belong in the phase directories.

Key Constraints

  • overview.md ≤ 25 lines (re-read it frequently to prevent goal drift)
  • spec.md ≤ 60 lines per phase (split into multiple phases if longer)
  • Always read phase spec before starting work on it
  • Update checklist immediately after completing each item
  • Record decisions in decisions.md, errors in errors.md
  • Save key milestones to memory for cross-session continuity
  • You should aim to execute all checklist items yourself rather than handing them off to the user

When to Use

  • Multi-phase tasks (3+ phases)
  • Complex projects with multiple deliverables or work streams
  • Tasks requiring coordination across many steps or dependencies
  • Long-running projects spanning multiple sessions

When NOT to Use

  • Simple questions or short tasks
  • Single-step work that needs no tracking

平台分布

OpenClaw

75.13%
按下载量换算1,044

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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