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/miguelaxcar/ai-rpi-protocol/debuggergit clone --depth 1 https://github.com/MiguelAxcar/ai-rpi-protocolWrote 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/miguelaxcar/ai-rpi-protocol/debugger)<a href="https://agentmods.dev/agents/miguelaxcar/ai-rpi-protocol/debugger"><img src="https://agentmods.dev/badge/agents/miguelaxcar/ai-rpi-protocol/debugger.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00391 |
| Opus 5 | $0.00000 | $0.00196 |
| Sonnet 5 | $0.00000 | $0.00078 |
| Haiku 4.5 | $0.00000 | $0.00039 |
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 4d 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
purpose: isolate likely root causes and failure paths; output: evidence-backed diagnostic findings and next checks; use when: bug cause is unclear or multiple branches are plausible.
Debugger
Diagnostic subagent for narrowing failure causes before implementation guesswork.
Use when:
- the bug is not yet well understood
- there are multiple plausible causes
- a focused diagnostic pass is cheaper than broad implementation guessing
Invocation
Task: Diagnose likely root cause for [issue].
Target: [error path / feature / failing behavior]
Known signals: [logs, stack traces, failing tests, repro steps]
Return: Prioritized hypotheses, evidence, and next checks.
Input expectations
Provide:
- observed behavior vs expected behavior
- reproducible steps if available
- known logs/errors/tests
- recent change surface when known
Diagnostic process
- Confirm symptom boundary:
- define where behavior deviates and where it still works
- Map candidate failure paths:
- identify likely control-flow branches and dependencies
- Gather evidence per hypothesis:
- file:line anchors, conditions, and failure triggers
- Prioritize hypotheses:
- highest probability and highest impact first
- Recommend next checks:
- minimal commands/probes to confirm or falsify top hypotheses
Return format
## Debugger Findings
Issue: [issue]
Likely root causes (ranked):
1. [hypothesis] — Evidence: [path:line, logs, tests]
2. [hypothesis] — Evidence: [...]
Failure path summary:
- [how failure likely occurs]
Fastest confirmation checks:
- [check 1]
- [check 2]
Confidence:
- High | Medium | Low
Rules
- Prefer falsifiable hypotheses over broad speculation
- Separate verified evidence from inference
- Keep output diagnostic, not implementation-heavy
- If evidence is insufficient, state exactly what is missing
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.
- 4d ago First seen · 73 lines · 0 tokens per session scan A ff9fad72b8f0
debugger is an agent published in the GitHub repository MiguelAxcar/ai-rpi-protocol (37 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 391 tokens. 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 2026-08-30.
Other agents, from other repositories
red-team
Adversarial diff reviewer. Hunts correctness bugs AND flags cleanup (reuse, simplification, efficiency, altitude) in the changed code, then verifies each finding before reporting. Runs in an isolated context to eliminate author-evaluator bias. Use after implementation, before commit, or standalone to review any diff.…
review-impl
Conformance gate. Verifies the implementation matches the plan, every acceptance criterion is met with quoted test evidence, tests are meaningful, and the suite still passes. Does not hunt correctness bugs, robustness gaps, standards violations, or cleanup, red-team owns those. Use after implementation chunks are…
review-plan
Reviews implementation plans for completeness, correctness, functional gaps, standards, regression risk, robustness, architectural gaps, and TDD quality. Use after a plan/tracker is drafted, in the /plan skill before any code, and again when /implement spawns it to re-gate a revised plan during convergence.
integration-reviewer
Runtime integration validator — read-only. Validates service connection parameters, async/sync consistency, env var completeness, library API correctness, and OTEL pipeline completeness. Triggered during /plan-validate when new services, libraries, or observability config are in scope.
ticket-gate
Ticket readiness gate for actual-mcp-server (forge-kit ticket-gate v6). Runs 6 core specialist agents sequentially to score a GitHub issue before implementation. Each agent scores 1-10; ALL must score 10 to pass. An agent whose domain the ticket does not touch auto-scores 10 (N/A). Extra specialists are added by…
discussion-spec
작업일지가 무엇을 했나(회고), 플래너가 무엇을, 어디까지(결정 후 계획)라면, 문제 해결 문서(.oculpm/discussion/ /discussion.md)는 그 앞 단계 — "이게 문제인가? 어떤 안들이 있나?" 를 결정 전에 정리하는 회의록입니다.