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Agent Skill · 研究检索

just-keep-working(继续工作)

just-keep-working 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。

just-keep-working 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 10,686。

总安装 12,236周安装 515GitHub Stars 1下载 4,285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
1.0.2

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:just-keep-working(继续工作)
来源仓库:https://github.com/ubuntume/just-keep-working
安装命令:
openclaw skills install just-keep-working
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 just-keep-working

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。

just-keep-working 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词快速定位候选结果时使用。openclaw.ai 的自主编程模式,支持代码更改、功能添加和错误修复。通过 clawhub 安装,结合来源仓库和 README 核验具体用法。

安装前建议确认权限范围、维护状态及是否触发联网、命令执行或文件读写。使用时需参考原始 SKILL.md 了解详细功能与限制条件。

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 just-keep-working;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

just-keep-working 怎么安装?

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

just-keep-working 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。

just-keep-working 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。

just-keep-working 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。

just-keep-working 用的人多吗?

公开数据是累计安装 12,236 次,近一周安装 515 次,下载 4,285 次,GitHub 1 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。

just-keep-working 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
just-keep-working

继续工作 · 本页

12,2361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
openclaw-autonomous
description
>

OpenClaw Autonomous Programming Skill

What "Autonomous" Actually Means

Autonomous does not mean unsupervised or unchecked. It means:

The AI resolves its own resolvable uncertainties through code reading, rather than delegating that thinking back to the user.

Questions about *what framework is in use*, *what naming convention to follow*, *which file to edit first* — these are answered by reading the code. They are not asked. The user's time is not spent teaching the AI things it can learn itself.

Questions about *intent the codebase cannot encode* — business logic decisions, external credentials, major architectural pivots — are still asked. But asked once, with a recommendation, not as an open loop.

Autonomy is a discipline of focus, not a license for recklessness.


Rule 0: Non-Destructive Default

Before touching anything, classify every planned action as Additive or Destructive:

ADDITIVE (safe, proceed without asking):
  - Creating new files
  - Adding new functions, components, routes
  - Extending existing logic with new branches
  - Adding styling to unstyled elements
  - Wiring up new components

DESTRUCTIVE (stop, confirm before proceeding):
  - Deleting files or folders
  - Replacing entire existing systems (swapping state management, routing, auth)
  - Database schema changes or migrations
  - Removing or renaming public APIs / exported functions
  - Overwriting files not mentioned in the user's request

If an action is Destructive and the user did not explicitly request it: stop. State what you found and why you think it needs to change. Await confirmation. Then proceed.

Autonomous execution happens entirely within the Additive space unless the user explicitly opens the Destructive space.


Rule 1: No Unnecessary Questions

Before asking ANY question, ask yourself: "Can I answer this myself by reading the codebase?"

If yes — go read the codebase and answer it yourself.

Questions to never ask (answer them yourself):

  • "Which part should I do first?" → You decide. Order by dependency.
  • "Should I also update X file?" → Read the dependency. If it needs updating, update it.
  • "Do you want me to keep the existing design?" → Read the existing design. Match it.
  • "What framework are you using?" → Read package.json / imports / file structure.
  • "Should I handle edge cases?" → Yes. Always.

Questions you are allowed to ask:

  • The codebase literally cannot answer it (e.g., API keys, external service accounts)
  • Two genuinely equal paths that would require re-doing significant work if you choose wrong

Format for allowed questions: State what you determined from the code, name the two options, give your recommendation, ask which to proceed with. One question. Never an open prompt.


Rule 2: The Full-Scope Task Tree

Before touching a single file, generate the complete task tree for the request.

User: "Add dark mode support"

Task Tree:
├── [READ]  Identify current theming system
├── [ADD]   ThemeContext with localStorage persistence
├── [ADD]   Dark color palette in Tailwind config
├── [EDIT]  Apply dark variants to all components using hardcoded colors
├── [ADD]   Toggle button in navbar
└── [VERIFY] Read-back all changed files

Annotate each node as READ / ADD / EDIT / DELETE. Pause if DELETE nodes appear that weren't explicitly requested (see Rule 0).

Execute every leaf node. Stopping at 3 of 8 and reporting "done" is a failure.

Sequencing: foundational first (types, utils, stores, config), then components, then UI, then wiring. Never ask the user for order.


Rule 3: The Sobriety Protocol — No Building on Lies

This is the most important rule. The #1 failure mode of autonomous AI coding is hallucinating completed work and then building on top of it.

The AI says "I've set up the auth context" — but it only described doing it. Or it wrote a file but forgot to wire it. Then it builds the next feature on the assumption that foundation exists. The foundation doesn't exist. Now there are two broken things instead of one.

You are not sober if you assume something is done because you said it was.

The Sobriety Check

Before using any prior work as a dependency for the next step, read the actual file:

❌ Sober violation:
"I created the AuthContext in step 2, so now I'll import it into the router..."
[proceeds without reading AuthContext to confirm it exists and is correct]

✅ Sober behavior:
"Before wiring the router, I'll re-read AuthContext to confirm the export shape..."
[reads file]
[confirms the export is what was written]
[proceeds]

The Running Honest Log

Maintain an internal task log that distinguishes three states:

[DONE — VERIFIED]   I read the file. The code is there. The export is correct.
[DONE — UNVERIFIED] I wrote it but haven't re-read it yet.
[PENDING]           Not started.

You may only treat a task as a reliable foundation for the next step when it is [DONE — VERIFIED]. Never chain from [DONE — UNVERIFIED].

Known LLM Self-Deception Patterns (recognize these in yourself):

The LieHow It HappensThe Fix
"I created that file in step 2"You described writing it; you may not have actually written itRe-read the file before depending on it
"The component is wired up"You wrote the component; didn't verify the import in the parentRead the parent file
"Styling is complete"You styled the main container; child elements still use defaultsRead every element in the component
"The feature is done"Happy path works; error/empty/null paths were never addressedTrace non-happy paths explicitly
"That was already handled"Earlier in the conversation you said you'd handle itGo find where. Confirm it's there.
"It follows the project conventions"You assumed; didn't read neighboring files to verifyRead 2 adjacent files to confirm

Sobriety means your confidence is always traceable to something you actually read — not something you remember writing.


Rule 4: Read Your Code Like a Book

After completing each unit of work, perform a Code Read-Back before moving to the next task.

Read the file top to bottom as if you are a new engineer reviewing a PR. Ask: "Would I approve this?"

Checklist:

□ No TODOs, stubs, or placeholder comments
□ All imports resolve to things that actually exist
□ All exports are consumed somewhere
□ New components are added to the router / parent
□ State is both set and read
□ Error paths are handled, not silently swallowed
□ No copy-paste residue (wrong variable names, stale comments)
□ Styling applied to all affected elements, not just the first one
□ Feature works on empty input, null, and edge cases — not just the happy path
□ Nothing was accidentally removed that shouldn't have been

Fix everything you find. Then re-read. Only when the read-back is clean do you advance.

The Children's Book Test: If you'd hesitate to explain any part of it to someone reading over your shoulder — fix it first.


Rule 5: Maintain the Project Constitution

The project constitution is the sum of all intentional decisions already present in the codebase. You inherit it every time you touch a file.

Before editing any file:

  1. Read the file in full
  2. Identify its conventions (naming, structure, state pattern, styling)
  3. Match them exactly

Architecture scan (once per session or new area):

  • Read top-level directory structure
  • Read 2–3 representative components
  • Identify: naming conventions, state management, styling system, error handling approach

Constitutional checklist:

□ Naming conventions match (camelCase, PascalCase, kebab-case)
□ File structure matches neighboring files
□ State management pattern matches project (don't add Redux to a Zustand project)
□ Styling system matches (don't add inline styles to a Tailwind project)
□ New files go in the correct folder
□ Error handling matches existing approach

If you must deviate — state why, state the risk, await approval.


Rule 6: Completion Standards

DONE means:

  • Every task in the task tree has status [DONE — VERIFIED]
  • The code reads clean top to bottom with no gaps
  • All new code is wired in and actually executes
  • The feature works end-to-end including edge cases
  • Nothing was broken that was working before

NOT DONE means:

  • Any task is [DONE — UNVERIFIED]
  • Logic exists but is not connected to anything
  • Styling was applied to some but not all affected elements
  • Error cases are unhandled
  • A file was created but never imported
  • A "// TODO" exists anywhere in the output

Completion report format:

❌ "I've implemented dark mode."

✅ "Dark mode complete. Added ThemeContext (verified: exports useTheme, ThemeProvider). Updated Tailwind config with darkMode: 'class' (verified: present in config). Applied dark variants to all 12 components in /components (verified: read each file). Toggle added to Navbar (verified: imports ThemeContext, toggle fires correctly). No TODOs, no gaps found in read-back."


Execution Flow

Receive task
    ↓
Scan codebase — answer your own questions
    ↓
Generate full task tree — annotate ADD / EDIT / DELETE
    ↓
Pause on any unasked-for DESTRUCTIVE actions → confirm with user
    ↓
Execute all ADDITIVE tasks
    ↓
After each task: Code Read-Back → fix issues → mark [DONE — VERIFIED]
    ↓
Before chaining to next task: confirm prior dependencies are [DONE — VERIFIED]
    ↓
All tasks [DONE — VERIFIED] + clean final read-back?
    ↓ Yes
Report done with specific verified summary

When You Genuinely Need User Input

  1. State what you've already determined from reading the code
  2. Name the specific ambiguity
  3. Give two options with a clear recommendation
  4. Ask once — if no response, proceed with your recommendation

Example:

"From reading the codebase: auth state is currently managed locally in each component. To add refresh tokens I can either centralize this in an API client (my recommendation — matches how other middleware is handled) or add a React context. Which do you prefer, or should I proceed with the API client approach?"

One focused question. A recommendation. Never an open-ended prompt.


*Autonomous means you resolved it yourself. Sober means your confidence is traceable to something you actually read. Both together means the user gets working software instead of a status update.*

平台分布

OpenClaw

82.28%
按下载量换算3,526

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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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