diagnose

A troubleshooting method for bugs and performance problems that are not yet clearly understood. It starts by creating a small, fast way to reproduce and measure the problem.

In plain words
What is it for?
Use it to build a narrow failing test, reproduction command, benchmark, or targeted instrumentation before choosing a fix.
Why use it?
It replaces broad logging and guesswork with quick feedback and ranked possible causes.

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/drvoss/everything-copilot-cli/diagnose
Any agent
npx skills add drvoss/everything-copilot-cli --skill diagnose
Clone the repo
git clone --depth 1 https://github.com/drvoss/everything-copilot-cli

Made for: Claude Code, Codex.

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 825 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 $0.00034 $0.00825
Opus 5 $0.00017 $0.00413
Sonnet 5 $0.00007 $0.00165
Haiku 4.5 $0.00003 $0.00082

Measured 2d ago against content hash b3688445e459, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

diagnose 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 2d 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.

skills/development/diagnose/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Diagnose

Diagnose is for problems that are still poorly shaped. Before deep debugging, build the smallest feedback loop that proves whether each change helps or hurts. A fast loop usually does more for bug finding than another round of guesswork.

When to Use

  • The symptom is real, but the shortest reliable repro is still unclear
  • A bug, regression, or performance issue needs a faster test loop before fixing
  • Multiple causes seem plausible and you need to rank them instead of chasing all of them
  • The system is large enough that targeted instrumentation beats broad logging

When NOT to Use

Instead of diagnose Use
You already have a stable repro and need root-cause discipline systematic-debugging
The failure is a compiler, type, or dependency error fix-build-errors
The issue is security-sensitive security-scan or pr-security-review

The 6-Step Loop

1. Build the feedback loop first

Create the fastest signal that tells you whether you are closer to the answer:

  • a narrow failing test
  • a single command that reproduces the symptom
  • a benchmark or script with stable inputs

If a proposed fix does not improve that loop, it is too early to trust it.

2. Reproduce

Capture the exact symptom, input, and environment. Shrink it until it is cheap to rerun.

3. Rank 3-5 hypotheses

Do not hold one vague hunch in your head. Write a short ranked list:

  1. most likely
  2. plausible alternative
  3. annoying edge case

Then test them in order, demoting the ones the evidence weakens.

4. Instrument narrowly

Add only the probes needed to separate the top hypotheses. Prefer:

  • one focused log or metric
  • one temporary assertion
  • one small trace around the suspect boundary

Avoid "log everything" unless you have no tighter cut.

5. Fix and add the regression check

Once one hypothesis is confirmed, make the smallest durable fix and lock it in with the same feedback loop that exposed it.

Read the full file on GitHub · 107 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. 2d ago First seen · 107 lines · 34 tokens per session scan A b3688445e459

Subscribe to this mod's changes

diagnose is a skill published in the GitHub repository drvoss/everything-copilot-cli (45 stars, last pushed 6d ago), licensed MIT. It adds 34 tokens to every session and 825 once invoked, about $0.0002 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 2026-08-30.

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