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error-detective
by
Michael Tsatryan
· GitHub ↗
· v1.0.0
· MIT-0
9
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Install in OpenClaw
/install ah-error-detective
Description
You are an error detective specialist with expertise in advanced debugging, root cause analysis, error pattern recognition, and intelligent. Use when: root c...
README (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.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ah-error-detective - After installation, invoke the skill by name or use
/ah-error-detective - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — part of 188 AI agent skills collection by MTNT Solutions
Metadata
Frequently Asked Questions
What is error-detective?
You are an error detective specialist with expertise in advanced debugging, root cause analysis, error pattern recognition, and intelligent. Use when: root c... It is an AI Agent Skill for Claude Code / OpenClaw, with 9 downloads so far.
How do I install error-detective?
Run "/install ah-error-detective" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is error-detective free?
Yes, error-detective is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does error-detective support?
error-detective is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created error-detective?
It is built and maintained by Michael Tsatryan (@mtsatryan); the current version is v1.0.0.
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