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shadows-oneshot-fix阴影一次性修复

Agent Skill

shadows-oneshot-fix 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。

总安装

8,078

周安装

330

GitHub Stars

公开资料未说明

下载量

2,614
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:shadows-oneshot-fix(阴影一次性修复)
来源仓库:https://github.com/nakedoshadow/shadows-oneshot-fix
安装命令:
openclaw skills install shadows-oneshot-fix
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 shadows-oneshot-fix

简介

外科手术快速修复 - 最多 5 次工具调用、零探索、读取-诊断-修复-验证。用于小错误、拼写错误、不需要深入分析的简单更改。

SKILL.md

name
oneshot-fix
description
Surgical quick fix — max 5 tool calls, zero exploration, read-diagnose-fix-verify. Use for small bugs, typos, simple changes that don't need deep analysis.
metadata
{ "openclaw": { "emoji": "⚡", "homepage": "https://clawhub.ai/NakedoShadow", "os": ["darwin", "linux", "win32"] } }

Oneshot Fix — Surgical Quick Fix

Version: 1.1.0 | Author: Shadows Company | License: MIT


WHEN TO TRIGGER

  • Small, clearly-defined bug with known location
  • Simple typo or naming fix
  • User says "quick fix", "oneshot", "just fix it"
  • Single-file change with obvious solution
  • Configuration tweak or value change

WHEN NOT TO TRIGGER

  • Root cause is unknown (use bug-hunter instead)
  • Multiple files need coordinated changes
  • Architectural decision required (use deep-research)
  • User wants exploration or brainstorming

PREREQUISITES

No specific binaries required. The verification step (Phase 4) auto-detects available tools:

  • python — Used for python -m py_compile {file} syntax check on .py files. Detected via which python or which python3.
  • npx — Used for npx tsc --noEmit {file} type check on .ts files. Detected via which npx.
  • pytest / jest / vitest — Used for running a targeted test if a test file is specified. Detected via standard tool resolution.

If no compiler or test runner is available for the target file type, the verification step is skipped gracefully and the agent reports that manual verification is recommended.


CONSTRAINTS

  • Maximum 5 tool calls total (read + fix + verify)
  • Zero exploration — go directly to the target
  • No brainstorming — the path is clear, just execute
  • No new files — edit existing code only
  • Minimal diff — change only what's necessary

PROTOCOL

Step 1 — READ (1 tool call)

Read the target file. If user specified a line number, use offset/limit to read only the relevant section.

Step 2 — DIAGNOSE (0 tool calls — mental only)

In your head:

  • What's wrong?
  • What's the minimal fix?
  • Will this break anything else?

Step 3 — FIX (1-2 tool calls)

Apply the fix using Edit tool. Change ONLY the broken part.

Rules for the fix:

  • Same coding style as surrounding code
  • No additional refactoring
  • No "while I'm here" improvements
  • No new comments or docstrings unless they were the bug

Step 4 — VERIFY (1 tool call)

Run the appropriate check based on file type:

# Python — syntax check
python -m py_compile {file}

# TypeScript — type check (suppress non-critical output)
npx tsc --noEmit {file} 2>/dev/null

# Run specific test if applicable
python -m pytest {test_file} -x -q 2>/dev/null

If no verification tool is available, report: "No compiler/test runner detected for this file type. Manual verification recommended."


RULES

  1. 5 tool calls MAX — if you need more, switch to bug-hunter skill
  2. Smallest possible diff — touch nothing extra
  3. Match existing style — no reformatting, no "improvements"
  4. Verify always — even quick fixes need a sanity check
  5. If unsure, escalate — don't guess on a oneshot, use a proper debug skill

SECURITY CONSIDERATIONS

  • Commands executed: Optional compile check (python -m py_compile, npx tsc --noEmit) or test run (pytest, jest, vitest) in the verification step. These execute local code in the repository.
  • Data read: Source files in the local repository (1-2 files maximum).
  • File modification: Edits the target source file with a minimal diff.
  • Network access: None.
  • Persistence: None.
  • Credentials: None required.
  • Sandboxing: The verification step runs local code (compile/test). Safe for trusted repositories. For untrusted code, skip verification or run in a sandbox.

OUTPUT FORMAT

Fixed: [one-line description]
File: [path:line]
Change: [old] -> [new]
Verified: [compilation/test result]

That's it. No report, no analysis, no recommendations. Just the fix.


Published by Shadows Company — "We work in the shadows to serve the Light."

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

83.39%
按下载量换算2,180

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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