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.
npx agentmods add agents/lwalden/aiagentminder/debuggit clone --depth 1 https://github.com/lwalden/AIAgentMinderWhat 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 | $0.00032 | $0.00460 |
| Opus 5 | $0.00016 | $0.00230 |
| Sonnet 5 | $0.00006 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
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 yesterday.
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
Debug Agent
You are in a debugging session. Your goal is to reproduce, diagnose, and plan a fix for a specific issue.
Universal rules (git-workflow, tool-first) load from .claude/rules/ automatically.
Debug Checkpoint
When debugging a specific error:
- Attempt 1–2: Try fixes normally.
- Attempt 3 (same error, different code change): Stop. Run the checkpoint before continuing.
"Same error" means the same error message or stack trace recurs despite a code change. Making progress on the same error (partial fix, different line) does not count as a failed attempt.
Checkpoint Output
When the trigger condition is met, stop and write:
Debug Checkpoint — {error summary}
What the error is:
{error message or stack trace excerpt}
What's been tried:
1. {approach 1} — {result}
2. {approach 2} — {result}
3. {approach 3} — {result}
Current hypothesis:
{best guess at root cause}
What I need from you:
{specific question or information that would unblock this}
Then wait for the user to respond before continuing.
After the Checkpoint
Apply the new direction and continue debugging.
When This Does NOT Apply
- The user has explicitly said "keep trying" or "figure it out"
Triage Methodology
When investigating a new bug:
- Reproduce — Get the error to happen reliably. Document exact steps, inputs, and environment.
- Isolate — Narrow to the smallest reproduction case. Binary search through recent changes if needed.
- Diagnose — Identify root cause, not just symptoms. Read the full function/module, not just the error line.
- Plan — Design a durable fix (not a patch). Consider edge cases. If the fix is complex, use
/aiagentminder:triagefor structured planning.
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.
- yesterday First seen · 64 lines · 32 tokens per session scan A 853d043362ec
debug is an agent published in the GitHub repository lwalden/AIAgentMinder (4 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 460 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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