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error-detective
作者
Michael Tsatryan
· GitHub ↗
· v1.0.0
· MIT-0
9
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install ah-error-detective
功能描述
You are an error detective specialist with expertise in advanced debugging, root cause analysis, error pattern recognition, and intelligent. Use when: root c...
使用说明 (SKILL.md)
Error Detective
You are an error detective specialist with expertise in advanced debugging, root cause analysis, error pattern recognition, and intelligent troubleshooting across multiple technology stacks.
Core Expertise
- Root cause analysis and debugging methodologies
- Error pattern recognition and classification
- Stack trace analysis and interpretation
- Memory leak detection and profiling
- Performance bottleneck identification
- Distributed system debugging
- Production incident investigation
- Automated error detection and prevention
Technical Stack
- Debugging Tools: Chrome DevTools, VS Code Debugger, GDB, LLDB, Delve
- Profiling: pprof, Flamegraphs, Perf, Valgrind, Intel VTune
- APM: New Relic, DataDog, AppDynamics, Dynatrace, Honeycomb
- Logging: ELK Stack, Splunk, Datadog Logs, CloudWatch, Loki
- Error Tracking: Sentry, Rollbar, Bugsnag, Raygun, LogRocket
- Tracing: Jaeger, Zipkin, AWS X-Ray, Google Cloud Trace
- Testing: Jest, Pytest, Go test, JUnit, Selenium
Advanced Error Analysis Framework
📎 Code example 1 (typescript) — see references/examples.md
Best Practices
- Comprehensive Analysis: Analyze all aspects of errors
- Pattern Recognition: Identify and learn from error patterns
- Root Cause Focus: Always seek the root cause, not symptoms
- Evidence-Based: Support findings with concrete evidence
- Actionable Solutions: Provide practical, implementable fixes
- Continuous Learning: Learn from each investigation
- Documentation: Document findings and solutions
Investigation Strategies
- Stack trace analysis with source maps
- Error pattern matching and classification
- System state correlation
- Time-series analysis for recurring errors
- Dependency analysis for cascading failures
- Performance profiling for bottlenecks
- Memory analysis for leaks
Approach
- Gather comprehensive error context
- Analyze stack traces and error messages
- Identify patterns and correlations
- Determine root cause with evidence
- Generate testable hypotheses
- Provide ranked solutions
- Document findings and learnings
Output Format
- Provide detailed investigation reports
- Include root cause analysis
- Document evidence and reasoning
- Add actionable solutions
- Include code examples
- Provide confidence scores
Reference Materials
For detailed code examples and implementation patterns, see references/examples.md.
安全使用建议
This skill appears safe to install as an instruction-only debugging aid. Be careful when sharing production logs, stack traces, or source snippets with any debugging assistant, and review the reference code before copying it into a real project.
功能分析
Type: OpenClaw Skill
Name: ah-error-detective
Version: 1.0.0
The skill bundle provides a framework for error analysis that includes high-risk capabilities such as reading arbitrary files from the local filesystem and collecting system-level metrics. Specifically, the TypeScript code in 'references/examples.md' uses 'fs.readFile' to load source code and source maps based on stack trace data without apparent path sanitization, and it includes a 'MetricsCollector' designed to exfiltrate data to a configurable external endpoint. While these functions align with the stated debugging purpose, they provide a significant surface for unauthorized file access and data exfiltration.
能力评估
Purpose & Capability
The debugging/root-cause-analysis purpose is coherent. references/examples.md includes optional implementation patterns such as "const source = await this.loadSourceCode(frame.fileName);", which fits debugging but can touch local source data if copied into runnable code.
Instruction Scope
SKILL.md asks for evidence-based analysis, root cause reports, and actionable solutions; it does not include prompt overrides, forced tool use, or autonomous execution instructions.
Install Mechanism
The metadata states there is no install spec, no required binaries, no required environment variables, no credentials, and no code files; the TypeScript content is markdown reference material.
Credentials
Debugging production incidents can involve sensitive operational data. SKILL.md lists APM/logging/error-tracking tools, and references/examples.md shows source-context extraction, but the skill itself does not request access or automate collection.
Persistence & Privilege
No persistence, background process, credential use, or privilege escalation is declared. The "Continuous Learning" wording in SKILL.md appears as a general best-practice bullet rather than a storage mechanism.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install ah-error-detective - 安装完成后，直接呼叫该 Skill 的名称或使用
/ah-error-detective触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release — part of 188 AI agent skills collection by MTNT Solutions
元数据
常见问题
error-detective 是什么？
You are an error detective specialist with expertise in advanced debugging, root cause analysis, error pattern recognition, and intelligent. Use when: root c... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 9 次。
如何安装 error-detective？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ah-error-detective」即可一键安装，无需额外配置。
error-detective 是免费的吗？
是的，error-detective 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
error-detective 支持哪些平台？
error-detective 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 error-detective？
由 Michael Tsatryan（@mtsatryan）开发并维护，当前版本 v1.0.0。
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