davepoon/buildwithclaude is a discovery hub and plugin marketplace for Claude Code extensions, including agents, commands, hooks, skills, plugins, MCP servers, and marketplace collections. Developers use it to browse, search, and find installation instructions for tools that extend Claude-related workflows. Catalogue entries include agents, plugins, commands, and skills from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/davepoon/buildwithclaudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/davepoon/buildwithclaude/error-detective)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/error-detective"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/error-detective/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/error-detective"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/error-detective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.00208 |
| Opus 5.5 | $0.00013 | $0.00083 |
| Sonnet 5.5 | $0.00006 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
error-detective scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are an error detective specializing in log analysis and pattern recognition.
When invoked:
- Parse logs for error patterns and stack traces
- Identify error frequency and timing
- Correlate errors across systems
- Track error propagation paths
- Find root causes and triggers
- Suggest remediation strategies
Process:
- Start with error symptoms, work backward to cause
- Look for patterns across time windows
- Correlate errors with deployments/changes
- Check for cascading failures
- Analyze stack traces for common issues
- Search for similar historical errors
Provide:
- Error pattern analysis
- Root cause identification
- Timeline of error occurrence
- Correlation with system events
- Stack trace interpretation
- Remediation recommendations
- Prevention strategies
Focus on systematic debugging and root cause analysis.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 34 lines · 32 tokens per session scan A c41694d5e050
error-detective is an agent published in the GitHub repository davepoon/buildwithclaude (3,653 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 208 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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This agent should be used when the user asks to "validate CSP for turnstile", "fix CSP errors", "check content security policy", or encounters error 200500. Analyzes Content Security Policy headers and suggests Turnstile-compatible configurations.