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executeexecute 搜索

Agent Skill

execute 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

416

周安装

17

GitHub Stars

3

下载量

135
CodexClaudeCursorGemini CLI

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

unknown

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:execute(execute 搜索)
来源仓库:https://github.com/alpoxdev/hypercore
仓库路径:skills/execute
安装命令:
npx skills add https://github.com/alpoxdev/hypercore --skill execute
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/alpoxdev/hypercore --skill execute

简介

execute 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于根据关键词或任务场景进行信息检索,支持从指定来源筛选内容。
  • 通过 npx skills add 命令安装并使用,需结合原始 README 确认具体用法。
  • 安装前建议核实权限范围、维护状态及是否涉及联网或文件操作。
  • 注意该技能聚焦执行类任务,不适合复杂规划或 bug 修复场景。

SKILL.md

Execute

Receive a task, classify its difficulty, think proportionally, and start working immediately.

<request_routing>

Positive triggers

  • A direct task instruction with a clear deliverable: "add pagination to the user list", "implement dark mode toggle".
  • An explicit execution request: "do this", "build this", "make this work".
  • A scoped feature or change request that does not require extended planning: "refactor this", "add tests", "clean up this component".

Out-of-scope

  • Bug reports with error messages or failing symptoms. Route to bug-fix.
  • Repository-wide build, CI, or deployment failures. Route to deploy-fix.
  • Pre-release validation or build readiness checks. Route to pre-deploy.
  • Strategic planning or architecture decisions. Route to a dedicated planning or architecture skill when available; in this repo prefer prd-maker for requirements and framework-specific architecture skills for implementation architecture.
  • Code review or quality audit. Route to a dedicated review or QA skill when available; in this repo prefer qa for systematic QA work.
  • Security analysis. Route to a dedicated security skill when available; in this repo use framework-specific security skills such as tanstack-start-security when applicable.
  • Explicit workflow invocations such as $autoresearch-skill, $ralph, or another $skill request. Preserve the explicitly requested workflow instead of treating the prompt as a generic execute task.

Boundary cases

  • If the request mixes a bug fix with new work, execute owns it when the primary intent is the new work.
  • If the task scope is genuinely unclear (no deliverable identifiable), ask one clarifying question — then execute.
  • If the user asks for a persistent guaranteed-completion loop ("keep going until done", "until max score", or Ralph-style repetition), route to Ralph when available rather than silently downgrading it to one-shot execute.
  • If the task turns out to require architectural decisions mid-flight, pause and consult the user rather than guessing.

</request_routing>

<argument_validation>

If ARGUMENT is missing or too vague to identify a deliverable, ask briefly:

What should I execute?
- Task or feature to implement
- Target files or area
- Any constraints or requirements

Do not over-interrogate. One round of clarification maximum, then start working.

</argument_validation>

<difficulty_classification>

Classify before thinking. Use these signals:

DifficultySignalsThinking depth
EasySingle file, clear scope, familiar pattern, mechanical change1-3 thoughts
MediumMulti-file, some ambiguity, moderate scope, requires context gathering4-6 thoughts
HardCross-cutting, architectural impact, unfamiliar domain, complex interactions7+ thoughts

For compound tasks (e.g. "refactor + add tests"), classify by the hardest sub-task. Treat the compound as one deliverable, not separate jobs.

When uncertain, round up one level. It is cheaper to over-think slightly than to redo work.

</difficulty_classification>

<mandatory_reasoning>

Adaptive Sequential Thinking

Always run sequential-thinking before implementation. The number of thoughts scales with difficulty:

Easy (1-3 thoughts):

  1. What exactly needs to change
  2. Where to change it
  3. How to verify

Medium (4-6 thoughts):

  1. Scope and deliverable clarity
  2. Relevant code exploration plan
  3. Implementation approach
  4. Edge cases or risks
  5. Verification strategy
  6. (Optional) Alternative approach comparison

Hard (7+ thoughts):

  1. Scope and deliverable clarity
  2. Codebase context and dependencies
  3. Design approach
  4. Implementation breakdown
  5. Edge cases and failure modes
  6. Cross-cutting impact
  7. Verification strategy 8+ (as needed) Revision, branching, deeper analysis

Announce the classification briefly before starting:

Difficulty: [easy/medium/hard] — [one-line reason]

</mandatory_reasoning>

<execution_rules>

Core principle: act, don't deliberate

  • Start implementing after thinking. Do not present options or wait for confirmation.
  • If a decision point arises where both paths are reasonable, pick the simpler one and note it.
  • Only pause for user input when the task itself is ambiguous (what to do), not when the approach is ambiguous (how to do it).
  • Keep scope to what was asked. Do not add unrequested improvements.

Implementation

  • Read relevant code before editing.
  • Make targeted changes — smallest diff that achieves the deliverable.
  • Run targeted validation after changes (typecheck, test, build as appropriate).
  • If validation fails, fix it within scope. Do not leave broken state.

</execution_rules>

StepTaskTool
1Validate input — identify the deliverable-
2Classify difficulty (easy/medium/hard)-
3Think proportionallysequential-thinking
4Explore relevant codeRead/Grep/Glob
5ImplementEdit/Write
6Validate (typecheck/test/build)Bash
7Report outcome and changed files-

Steps 4-6 may repeat as needed. The goal is a working deliverable, not a single pass.

<completion_report>

After execution, report briefly:

## Done

**Task**: [what was executed]
**Difficulty**: [easy/medium/hard]
**Changes**: [list of changed files]
**Validation**: [what was verified and result]

If anything remains unverified, say what and why.

</completion_report>

Execution checklist:

  • ARGUMENT validated — deliverable is clear
  • Difficulty classified
  • sequential-thinking completed (proportional depth)
  • Relevant code read before editing
  • Implementation complete
  • Validation executed (typecheck/test/build)
  • Outcome reported with changed files

Forbidden:

  • Presenting options and waiting for selection (this is execute, not diagnose)
  • Over-thinking easy tasks (1-3 thoughts max for easy)
  • Under-thinking hard tasks (7+ thoughts minimum for hard)
  • Expanding scope beyond what was asked
  • Claiming completion without running validation

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

34.31%
按下载量换算46

Claude

31.73%
按下载量换算43

Cursor

20.34%
按下载量换算27

Gemini CLI

8.29%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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