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Agent Skill · 研究检索

resilient-execution(弹性执行)

resilient-execution 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。

resilient-execution 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,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 47,825。

总安装 717周安装 29GitHub Stars 1下载 225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
unknown

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:resilient-execution(弹性执行)
来源仓库:https://github.com/pixel-process-ug/superkit-agents
仓库路径:skills/resilient-execution
安装命令:
npx skills add https://github.com/pixel-process-ug/superkit-agents --skill resilient-execution
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/pixel-process-ug/superkit-agents --skill resilient-execution

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。

用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限与联网能力。建议结合原始 README 核验具体用法,注意维护状态和功能边界。

使用前请检查是否会触发文件读写或命令执行,确保环境安全。

来源仓库内路径:skills/resilient-execution

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/pixel-process-ug/superkit-agents --skill resil…;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

    它需要执行命令,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

resilient-execution 怎么安装?

在终端执行 npx skills add https://github.com/pixel-process-ug/superkit-agents --skill resilient-execu…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

resilient-execution 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

resilient-execution 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/pixel-process-ug/superkit-agents --skill resilient-execution 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

resilient-execution 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

resilient-execution 用的人多吗?

公开数据是累计安装 717 次,近一周安装 29 次,下载 225 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。

resilient-execution 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
resilient-execution

弹性执行 · 本页

7171执行命令未明确通过

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

Overview

The resilient-execution skill prevents premature failure by enforcing a minimum of 3 genuinely different approaches before escalating to the user. It provides a structured error classification system, an approach cascade methodology, and transparent logging of each attempt. Without this skill, agents give up too early — with it, they systematically exhaust alternatives and only escalate with full evidence.

Announce at start: "I'm using the resilient-execution skill — I will try multiple approaches before escalating."


Phase 1: Error Classification

When an approach fails, immediately classify the error before retrying:

Error TypeDefinitionIndicatorsCorrect Response
TransientTemporary infrastructure failureNetwork timeout, rate limit, 503 error, lock contentionWait briefly, retry the same approach
EnvironmentalMissing or misconfigured dependencyModule not found, wrong version, missing env var, permission deniedFix the environment, then retry same approach
LogicalWrong approach or incorrect assumptionWrong output, unexpected behavior, type mismatch, wrong API usageRethink the approach entirely
FundamentalGenuinely impossible with available toolsAPI does not exist, hardware limitation, missing capabilityEscalate to user with evidence
STOP: Classify the error before choosing your next approach. Wrong classification leads to wasted retries.

Phase 2: Approach Cascade

Execute the cascade systematically. Each attempt must be a genuinely different strategy.

Attempt 1: Primary approach (most direct solution)
    | fails
    v
Classify error -> Can same approach work with a fix?
    | YES -> Fix and retry (does NOT count as a new attempt)
    | NO  -> Proceed to Attempt 2
    v
Attempt 2: Alternative approach 1 (different technique)
    | fails
    v
Classify error -> Is this fundamentally blocked?
    | YES -> Proceed directly to escalation
    | NO  -> Proceed to Attempt 3
    v
Attempt 3: Alternative approach 2 (different path entirely)
    | fails
    v
Circuit breaker -> Present findings to user with full evidence

For Each Attempt, Log:

### Attempt N: [Approach Name]
**Strategy:** [what makes this different from previous attempts]
**What I tried:** [specific description with commands/code]
**What happened:** [exact error or unexpected result]
**Why it failed:** [root cause analysis]
**Classification:** [Transient / Environmental / Logical / Fundamental]
**What to try next:** [reasoning for next approach]
STOP: Log every attempt before moving to the next. Do NOT skip logging — it is evidence for the escalation report.

Phase 3: Alternative Approach Selection

When the primary approach fails, select the next approach using this decision table:

Failure TypeStrategy 1Strategy 2Strategy 3
Library/API does not workDifferent libraryDirect implementation (no library)Shell command / external tool
Algorithm produces wrong resultDifferent algorithmDecompose into smaller stepsSimplify constraints, solve easier version
Permission/access deniedDifferent access methodEscalate with manual stepsWork around via alternative path
Tool limitationDifferent toolCombine multiple toolsProvide manual instructions
Integration failureMock the dependencyUse alternative interfaceIsolate and test components separately
Performance issueDifferent data structureBatch/stream processingApproximate solution

Alternative Strategy Hierarchy

Try these in order of preference:

  1. Different tool — use a different library, API, or command
  2. Different algorithm — solve the same problem a different way
  3. Decompose — break the problem into smaller, solvable parts
  4. Simplify — remove constraints and solve a simpler version first
  5. Work around — achieve the goal through a different path entirely
  6. Manual steps — provide clear instructions the user can follow themselves

Phase 4: Escalation Report

After 3 genuine attempts with different approaches, produce this report:

## Execution Report

I tried 3 different approaches to [goal]:

### Attempt 1: [Approach Name]
**Strategy:** [description]
**Result:** Failed because [specific reason]
**Error:** [exact error message or unexpected output]

### Attempt 2: [Approach Name]
**Strategy:** [description]
**Result:** Failed because [specific reason]
**Error:** [exact error message or unexpected output]

### Attempt 3: [Approach Name]
**Strategy:** [description]
**Result:** Failed because [specific reason]
**Error:** [exact error message or unexpected output]

### Root Cause Analysis
[Why all three approaches failed — identify the common blocker]

### Recommended Next Steps
- **Option A:** [what the user could try]
- **Option B:** [alternative path]
- **Option C:** [if applicable]

### What I Need From You to Proceed
[Specific ask — access, information, permission, or decision]
STOP: Do NOT escalate without this report. The user needs evidence that 3 genuine attempts were made.

Decision Table: When Retries Count as "Genuine"

Counts as Genuine AttemptDoes NOT Count
Different library or toolSame library with different import
Different algorithm or data structureSame algorithm with tweaked parameters
Different architectural approachSame approach with minor code changes
Manual workaround vs automatedSame automation with retry loop
Breaking problem into sub-problemsSame monolithic approach with logging added
Using an entirely different APISame API with different authentication method (unless auth was the error)

Anti-Patterns / Common Mistakes

What NOT to DoWhy It FailsWhat to Do Instead
Retry the same approach 3 times and call it "3 attempts"Same approach = same failure. Not genuine alternatives.Each attempt must use a meaningfully different strategy
Give up after 1 failureMisses 2+ viable approachesAlways try at least 3 genuinely different approaches
Skip error classificationWithout classification, you retry wrong thingsClassify BEFORE choosing next approach
Hide failed attempts from the userUser cannot help without contextLog and report every attempt transparently
Escalate without trying manual workaroundMany things that fail in automation work manuallyAlways consider manual steps as Approach 3
Blame the platform without investigation"Platform limitation" is often wrongSearch for workarounds before declaring impossible
Fix environment issues and count as new attemptFixing env + retrying same approach is 1 attemptOnly count genuinely different strategies
Skip logging intermediate attemptsLoses evidence trail, cannot produce escalation reportLog every attempt immediately

Anti-Rationalization Guards

ThoughtReality
"This genuinely cannot be done"Have you tried 3 different approaches? Probably not.
"The error is clear, I know what is wrong"Clear errors can have hidden root causes. Investigate.
"I have already tried everything"List what you tried. There are always more options.
"The user should fix this themselves"Provide a manual path, but try 3 approaches first.
"This is a platform limitation"Limitations often have workarounds. Search for them.
"The same error keeps happening"Same error with different approaches = different root cause. Classify.
"This is taking too long"Giving up takes longer when the user has to start over.
"A simpler version would not be useful"A working simple version beats a broken complex one.
Do NOT escalate without 3 genuine attempts. Period.

Integration Points

SkillRelationship
circuit-breakerActivated after resilient-execution exhausts retries at the loop level
task-managementInvokes resilient-execution when a task step fails
self-learningRecords failure patterns to avoid repeating them in future sessions
planningUses failure history to choose more robust approaches
auto-improvementTracks retry success rates and approach effectiveness
verification-before-completionInvokes resilient-execution if verification fails

Concrete Examples

Example: File Parsing Failure

Attempt 1: JSON.parse() on the file
  Result: SyntaxError — file contains comments (JSONC format)
  Classification: Logical — wrong parser for this format

Attempt 2: Strip comments with regex, then JSON.parse()
  Result: Failed — nested block comments not handled
  Classification: Logical — regex too simple for comment stripping

Attempt 3: Use `jsonc-parser` library (handles JSONC natively)
  Result: Success — file parsed correctly

Example: API Integration Failure

Attempt 1: Direct HTTP request to API endpoint
  Result: 403 Forbidden — authentication required
  Classification: Environmental — missing auth config

  Fix: Add API key from .env
  Result: 429 Too Many Requests — rate limited
  Classification: Transient — wait and retry
  Result: 200 OK but response format changed from docs
  Classification: Logical — API version mismatch

Attempt 2: Use official SDK instead of raw HTTP
  Result: SDK throws "unsupported region" error
  Classification: Environmental — region config needed

Attempt 3: Use GraphQL endpoint instead of REST
  Result: Success — GraphQL endpoint supports all regions

Key Principles

  • Never give up silently — always show what was tried
  • Genuine alternatives — each attempt must be a meaningfully different approach, not the same thing with minor tweaks
  • Root cause analysis — understand WHY before trying the next approach
  • Learn from failure — update memory with what did not work and why
  • Transparent — show the user your reasoning at each step
  • Classify first — error type determines whether to retry same approach or try a new one

Skill Type

RIGID — The 3-attempt minimum is a HARD-GATE. Error classification is mandatory before each retry. The escalation report format must be followed exactly. Do not relax these requirements regardless of perceived simplicity.

平台分布

Codex

37.65%
按下载量换算85

Claude

30.73%
按下载量换算69

Cursor

18.93%
按下载量换算43

Gemini CLI

10.06%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/pixel-process-ug/superkit-agents --skill resilient-execution 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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