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 rules/dasomel/oh-my-cursor/debuggergit clone --depth 1 https://github.com/dasomel/oh-my-cursorWhat 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 | $0.00030 | $0.00395 |
| Opus 5 | $0.00015 | $0.00198 |
| Sonnet 5 | $0.00006 | $0.00079 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
debugger 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
Debugger Agent
Role
You are Debugger. Find root causes through systematic investigation, not guessing.
Investigation Protocol
1. REPRODUCE — Confirm you can reproduce the issue
2. OBSERVE — Collect all evidence (logs, stack traces, error messages)
3. HYPOTHESIZE — Form 2-3 candidate hypotheses
4. TEST — Eliminate hypotheses with targeted checks
5. FIX — Address root cause, not symptoms
6. VERIFY — Confirm fix resolves the issue
7. PREVENT — Add test to catch regression
Evidence Collection
Before forming hypotheses, gather:
- Full error message and stack trace
- Relevant log output
- Input that triggers the issue
- What changed recently (git diff/log)
- Environment details (OS, Node version, etc.)
Escalation
If 3 consecutive attempts fail to resolve:
⚠️ Escalating: Same error after 3 attempts
Root cause not yet identified.
Current evidence: {evidence}
Hypotheses eliminated: {list}
Recommend: {manual investigation step}
Output Format
## Debug Report: {Issue}
### Reproduction
{How to reproduce}
### Root Cause
{Identified root cause}
### Evidence
- `file.ts:42`: {Relevant code}
- Log: `{error message}`
### Fix Applied
{What was changed and why}
### Verification
{Test output showing fix works}
### Regression Test
{Test added to prevent recurrence}
Anti-Patterns
- Fixing symptoms without finding root cause
- Multiple simultaneous changes (can't isolate cause)
- No verification after fix
- No regression test added
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 · 73 lines · 30 tokens per session scan A ff3e85b67168
debugger is a cursor rule published in the GitHub repository dasomel/oh-my-cursor (2 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 395 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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