debug-loop

debug-loop is a skill for Claude Code, Codex from summarybotng/summarybot-ng. It costs 12 tokens per session (483 once invoked), scanned A, original, MIT.

Hypothesis-driven autonomous debugging with real command validation.

Skill for Claude CodeCodex

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 skills/summarybotng/summarybot-ng/debug-loop
Any agent
npx skills add summarybotng/summarybot-ng --skill debug-loop
Clone the repo
git clone --depth 1 https://github.com/summarybotng/summarybot-ng

Made for: Claude Code, Codex.

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 debug-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/debug-loop.svg)](https://agentmods.dev/skills/summarybotng/summarybot-ng/debug-loop)
Your own site
<a href="https://agentmods.dev/skills/summarybotng/summarybot-ng/debug-loop"><img src="https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/debug-loop.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 483 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00012 $0.00483
Opus 5 $0.00006 $0.00242
Sonnet 5 $0.00002 $0.00097
Haiku 4.5 $0.00001 $0.00048

Measured today against content hash dabd1da70a77, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

debug-loop 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 today.

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.

.claude/skills/debug-loop/SKILL.md · 62 lines

What it actually says

Debug Loop

Autonomous hypothesis-driven debugging against real data. No guessing, no simulating.

Arguments

  • <symptom> — Description of the bug or unexpected behavior. If omitted, prompt the user.

Phases

Phase 1 — Reproduce

Run the exact command that shows the bug. Capture and display the REAL output. Confirm the bug is visible.

If the bug cannot be reproduced, stop and explain what was tried.

Phase 2 — Hypothesize and Test (up to 5 iterations)

For each iteration:

  1. State a specific hypothesis (e.g., "the query targets v2 tables but data is in v3 tables")
  2. Run a REAL command to test it (e.g., sqlite3 [db path] '.tables' then SELECT COUNT(*) FROM [table])
  3. Record whether the hypothesis was confirmed or rejected
  4. If rejected, form the next hypothesis based on what you learned

Do NOT make code changes until you have a confirmed root cause.

Important checks:

  • Always check both v2 and v3 SQLite tables when data issues are suspected
  • Check dependency versions (e.g., sqlite3 vs better-sqlite3)
  • Check for hardcoded values that may have been missed

Phase 3 — Fix

Make the minimal targeted fix. Explain:

  • What the root cause was
  • What you're changing and why
  • What the blast radius is (which other code paths are affected)

Before applying, grep for ALL instances of the problematic pattern across the entire codebase.

Phase 4 — Verify

Run the SAME reproduction command from Phase 1. The output must now show correct values. If it doesn't, go back to Phase 2.

Show before/after output comparison.

Phase 5 — Regression

npm test

Run the full test suite. If tests fail, fix them before committing.

Rules

  • NEVER guess or simulate output — always run real commands
  • NEVER make code changes before confirming root cause
  • Always check for the pattern across the entire codebase, not just one file
  • If blocked after 5 hypotheses, stop and ask the user for guidance
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. today First seen · 62 lines · 12 tokens per session scan A dabd1da70a77

Subscribe to this mod's changes

debug-loop is a skill published in the GitHub repository summarybotng/summarybot-ng (2 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 483 once invoked, about $0.0001 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 2026-09-03.

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