debugger

debugger is an agent for coding agents from MiguelAxcar/ai-rpi-protocol. It costs 0 tokens per session (391 once invoked), scanned A, original, MIT.

A diagnostic subagent for investigating unclear software bugs and identifying likely root causes.

In plain words
What is it for?
Use it to provide a bug report, reproduction steps, logs, and recent changes, then receive prioritized hypotheses and suggested checks.
Why use it?
It organizes symptoms, possible failure paths, and supporting evidence before implementation begins.

Agent

Install

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.

agentmods
npx agentmods add agents/miguelaxcar/ai-rpi-protocol/debugger
Clone the repo
git clone --depth 1 https://github.com/MiguelAxcar/ai-rpi-protocol

Wrote 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.

agentmods badge for debugger

README.md
[![agentmods](https://agentmods.dev/badge/agents/miguelaxcar/ai-rpi-protocol/debugger.svg)](https://agentmods.dev/agents/miguelaxcar/ai-rpi-protocol/debugger)
Your own site
<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>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 391 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 4d ago against content hash ff9fad72b8f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

agents/debugger.md · 73 lines

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

  1. Confirm symptom boundary:
  • define where behavior deviates and where it still works
  1. Map candidate failure paths:
  • identify likely control-flow branches and dependencies
  1. Gather evidence per hypothesis:
  • file:line anchors, conditions, and failure triggers
  1. Prioritize hypotheses:
  • highest probability and highest impact first
  1. 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
Changes

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.

  1. 4d ago First seen · 73 lines · 0 tokens per session scan A ff9fad72b8f0

Subscribe to this mod's changes

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.

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