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 skills/irahardianto/qurio/debugging-protocolnpx skills add irahardianto/qurio --skill debugging-protocolgit clone --depth 1 https://github.com/irahardianto/qurioWrote 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/skills/irahardianto/qurio/debugging-protocol)<a href="https://agentmods.dev/skills/irahardianto/qurio/debugging-protocol"><img src="https://agentmods.dev/badge/skills/irahardianto/qurio/debugging-protocol.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 | $0.00044 | $0.00612 |
| Opus 5 | $0.00022 | $0.00306 |
| Sonnet 5 | $0.00009 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
debugging-protocol scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
* **Code Pattern**: Provide the exact code or command to run (e.g., a specific SQL query, a Python script using the client library, a `curl` command). How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debugging Protocol
Overview
This skill provides a rigorous framework for debugging complex software issues. It moves beyond ad-hoc troubleshooting to a structured process of hypothesis generation and validation.
Use this skill to:
- Formalize a debugging session.
- Systematically eliminate potential root causes.
- Document findings for future reference or team communication.
Protocol Workflow
To run a structured debugging session, follow these steps:
1. Initialize the Session
Create a new debugging document using the provided template. This serves as the "source of truth" for the investigation.
Template location: assets/debugging-session-template.md
2. Define the Problem
Clearly articulate the System Context and Problem Statement.
- Symptom: What is the observable behavior? How does it differ from expected behavior?
- Scope: Which components are involved?
3. Formulate Hypotheses
List distinct, testable hypotheses.
- Avoid vague guesses.
- Differentiate between layers (e.g., "Frontend Hypothesis" vs "Backend Hypothesis").
- Example: "Race condition in UI state update" vs "Database schema misconfiguration".
4. Design Validation Tasks
For each hypothesis, design a specific validation task.
- Objective: What are you trying to prove or disprove?
- Steps: Precise, reproducible actions.
- Code Pattern: Provide the exact code or command to run (e.g., a specific SQL query, a Python script using the client library, a
curlcommand). - Success Criteria: Explicitly state what output confirms the hypothesis.
5. Execute and Document
Run the tasks in order. For each task, record:
- Status: ✅ VALIDATED, ❌ FAILED, or ⚠️ INCONCLUSIVE.
- Findings: Key observations and raw evidence (logs, screenshots).
- Conclusion: Does this support or refute the hypothesis?
6. Determine Root Cause
Synthesize the findings into a Root Cause Analysis.
- Identify the Primary Root Cause.
- Assign a Confidence Level.
- Propose specific fixes.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 61 lines · 44 tokens per session scan A af4e9bd488fe
debugging-protocol is a skill published in the GitHub repository irahardianto/qurio (17 stars, last pushed 6mo ago), licensed MIT. It adds 44 tokens to every session and 612 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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