debug-playbook

debug-playbook is a skill for Claude Code, Codex from toffyui/ccteams. It costs 39 tokens per session (2,103 once invoked), scanned A, original, MIT.

A step-by-step guide for investigating software bugs. It emphasizes capturing the exact failure, reproducing it, testing competing explanations, identifying the underlying cause, and checking for related defects.

In plain words
What is it for?
Use it when diagnosing failing tests, error messages, crashes, incorrect output, or suspected flaky behavior.
Why use it?
It prevents fixing symptoms or relying on guesses about a failure that has not been reproduced. It gives debugging a record of evidence and a way to distinguish a real fix from a different error.

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/toffyui/ccteams/debug-playbook
Any agent
npx skills add toffyui/ccteams --skill debug-playbook
Clone the repo
git clone --depth 1 https://github.com/toffyui/ccteams

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-playbook

README.md
[![agentmods](https://agentmods.dev/badge/skills/toffyui/ccteams/debug-playbook.svg)](https://agentmods.dev/skills/toffyui/ccteams/debug-playbook)
Your own site
<a href="https://agentmods.dev/skills/toffyui/ccteams/debug-playbook"><img src="https://agentmods.dev/badge/skills/toffyui/ccteams/debug-playbook.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,103 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00039 $0.02103
Opus 5 $0.00019 $0.01052
Sonnet 5 $0.00008 $0.00421
Haiku 4.5 $0.00004 $0.00210

Measured 4d ago against content hash 2c4a65c537ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

debug-playbook 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 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

test (`<runner> <path>::<test>`), the one request (`curl` the endpoint),
teams/debug/skills/debug-playbook/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Debug Playbook

This is the literal procedure a frontier model follows when debugging. Follow it step by step; the order is the point. Skipping ahead to "the obvious fix" is the single most expensive mistake in debugging.

Operating loop

  1. Capture the failure verbatim. Copy the exact error text, stack trace, failing assertion, or wrong output into your notes before touching anything. You will compare against this later — after a change, "a different error" and "the same error" are opposite results, and memory will lie to you about which one you're seeing.
  2. Reproduce before reasoning. Run the smallest thing that fails: the one test (<runner> <path>::<test>), the one request (curl the endpoint), the one function (a REPL call). If you cannot reproduce, STOP — collect environment facts (versions, env vars, data state) and report what's missing. Never debug from a description of a failure you haven't seen.
    • Suspected flaky? Run it 10× in a loop and record the failure rate before anything else. A 3/10 failure is a different class of bug (ordering, time, shared state) than a 10/10 failure.
  3. Read the trace bottom-up, and find YOUR frame. The deepest frame in code you own is where evidence starts. The reported line is where the error surfaced, not where the bug lives — treat it as the end of a thread to pull, not the answer.
  4. Write a hypothesis ledger. List 2–3 candidate causes explicitly (in a comment, scratch file, or your working notes). For each: what it predicts you'd observe, and the cheapest check that would kill it. Rank by (prior probability × cheapness of the check).
  5. Run the discriminating experiment. Pick the check that produces a DIFFERENT result under hypothesis A vs hypothesis B — not the one that merely confirms your favorite. Targeted print/log at a boundary, a narrowed input, a bisected commit range (git bisect), or commenting out one layer are all discriminators. One change at a time; revert each probe before the next.
  6. State the mechanism sentence. Before writing any fix, you must be able to say: "X causes Y because Z" — where you have OBSERVED X and Y, and Z explains why this exact symptom appears (not merely "could appear"). If you cannot fill in Z, you have a correlation, not a cause. Return to step 4.
  7. Fix at the cause site, minimally. The fix belongs where the mechanism sentence says the defect is — not where the error surfaced. If the fix feels large, re-check: you may be redesigning around the bug instead of fixing it.
  8. Regression test that fails first. Write the test, run it against the UNFIXED code (stash the fix: git stash, run, git stash pop), confirm it fails with the captured failure — then confirm it passes with the fix. A regression test that never failed proves nothing.
  9. Hunt the siblings. The same defect pattern usually exists elsewhere: grep for the same call, the same copy-pasted block, the same misused API. Report siblings even if fixing them is out of scope.
  10. Full suite + cleanup. Run the whole test suite, remove every probe and debug print, and re-read your diff — the diff should contain the fix and the test, nothing else.

Read the full file on GitHub · 154 lines

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 · 154 lines · 39 tokens per session scan A 2c4a65c537ab

Subscribe to this mod's changes

debug-playbook is a skill published in the GitHub repository toffyui/ccteams (47 stars, last pushed 4d ago), licensed MIT. It adds 39 tokens to every session and 2,103 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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