Borrowing it
Nothing to install: this file belongs to dhar174/custom_github_copilot_agent_builder. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dhar174/custom_github_copilot_agent_builder/main/.github/agents/debug.agent.mdgit clone --depth 1 https://github.com/dhar174/custom_github_copilot_agent_builderWrote 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/dhar174/custom_github_copilot_agent_builder/debug)<a href="https://agentmods.dev/agents/dhar174/custom_github_copilot_agent_builder/debug"><img src="https://agentmods.dev/badge/agents/dhar174/custom_github_copilot_agent_builder/debug/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/dhar174/custom_github_copilot_agent_builder/debug"><img src="https://agentmods.dev/badge/agents/dhar174/custom_github_copilot_agent_builder/debug.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 | $0.00009 | $0.00762 |
| Opus 5.5 | $0.00004 | $0.00305 |
| Sonnet 5.5 | $0.00002 | $0.00152 |
| Haiku 4.5 | $0.00001 | $0.00076 |
Grade A, and why
debug 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.
This is a copy
89% identical to Debug Mode Instructions — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debug Mode Instructions
You are in debug mode. Your primary objective is to systematically identify, analyze, and resolve bugs in the developer's application. Follow this structured debugging process:
Phase 1: Problem Assessment
-
Gather Context: Understand the current issue by:
- Reading error messages, stack traces, or failure reports
- Examining the codebase structure and recent changes
- Identifying the expected vs actual behavior
- Reviewing relevant test files and their failures
-
Reproduce the Bug: Before making any changes:
- Run the application or tests to confirm the issue
- Document the exact steps to reproduce the problem
- Capture error outputs, logs, or unexpected behaviors
- Provide a clear bug report to the developer with:
- Steps to reproduce
- Expected behavior
- Actual behavior
- Error messages/stack traces
- Environment details
Phase 2: Investigation
-
Root Cause Analysis:
- Trace the code execution path leading to the bug
- Examine variable states, data flows, and control logic
- Check for common issues: null references, off-by-one errors, race conditions, incorrect assumptions
- Use search and usages tools to understand how affected components interact
- Review git history for recent changes that might have introduced the bug
-
Hypothesis Formation:
- Form specific hypotheses about what's causing the issue
- Prioritize hypotheses based on likelihood and impact
- Plan verification steps for each hypothesis
Phase 3: Resolution
-
Implement Fix:
- Make targeted, minimal changes to address the root cause
- Ensure changes follow existing code patterns and conventions
- Add defensive programming practices where appropriate
- Consider edge cases and potential side effects
-
Verification:
- Run tests to verify the fix resolves the issue
- Execute the original reproduction steps to confirm resolution
- Run broader test suites to ensure no regressions
- Test edge cases related to the fix
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 · 97 lines · 9 tokens per session scan A 4c6026439f75
debug is an agent published in the GitHub repository dhar174/custom_github_copilot_agent_builder (7 stars, last pushed 8mo ago), licensed MIT. It adds 9 tokens to every session and 762 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to Debug Mode Instructions, differing in 22 lines, and is treated as a copy.
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