firstmate: Skill for Claude Code

.agents/skills/diagnostic-reasoning/SKILL.md

diagnostic-reasoning is a skill for Claude Code from kunchenguid/firstmate. It costs 21 tokens per session (652 once invoked), scanned A, original, MIT.

A structured procedure for diagnosing software bugs from the user's observed behavior to the likely cause.

In plain words
What is it for?
Use it to reproduce a reported bug, compare expected and actual behavior, inspect different execution paths, and test possible causes.
Why use it?
It separates the event that triggers a bug from conditions that hide it and the symptom people see, reducing guesswork.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is kunchenguid/firstmate's own configuration. It tells Claude Code how to work on firstmate itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything firstmate configures →

About the project

firstmate is an agent distribution that lets one coding agent coordinate a crew of autonomous agents working in separate git worktrees. It is for running parallel fixes, investigations, plans, and audits while receiving completed pull requests, merges, or reports through one supervising agent. The catalogue entries provide skills, hooks, instructions, and settings for operating this workflow.

kunchenguid/firstmate · 8,295 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to kunchenguid/firstmate. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/kunchenguid/firstmate/main/.agents/skills/diagnostic-reasoning/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/kunchenguid/firstmate

Made for: Claude Code.

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 diagnostic-reasoning

README.md
[![agentmods](https://agentmods.dev/badge/skills/kunchenguid/firstmate/diagnostic-reasoning/github.svg)](https://agentmods.dev/skills/kunchenguid/firstmate/diagnostic-reasoning)
Your own site
<a href="https://agentmods.dev/skills/kunchenguid/firstmate/diagnostic-reasoning"><img src="https://agentmods.dev/badge/skills/kunchenguid/firstmate/diagnostic-reasoning/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for diagnostic-reasoning

Your own site · 80×15
<a href="https://agentmods.dev/skills/kunchenguid/firstmate/diagnostic-reasoning"><img src="https://agentmods.dev/badge/skills/kunchenguid/firstmate/diagnostic-reasoning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 652 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00021 $0.00652
Opus 5.5 $0.00008 $0.00261
Sonnet 5.5 $0.00004 $0.00130
Haiku 4.5 $0.00002 $0.00065

Measured 4d ago against content hash 74083d93a321, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

diagnostic-reasoning 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/skills/diagnostic-reasoning/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

diagnostic-reasoning

Use this procedure before scoping a reported bug and before acting on a diagnostic report. This skill is the single owner of Firstmate's bug-diagnosis reasoning procedure. Firstmate applies it when briefing delegated investigation and evaluating the resulting evidence, without taking over project-specific investigation itself.

Establish the observed behavior

Start from the end user's experience rather than an internal error string or an implementation hypothesis. Require an end-to-end reproduction aligned with the real user path whenever it is feasible and safe. If a faithful reproduction is not feasible, record the exact limitation and use the closest representative path without presenting it as equivalent evidence. Capture the expected behavior, observed behavior, setup, inputs, and repeatability before assigning a cause.

Separate these three facts explicitly:

  • The initiating trigger is the event, input, or transition that starts the faulty behavior.
  • The masking condition is the independent state, environment, timing, cache, configuration, or path difference that hides or exposes the fault.
  • The visible symptom is what the end user or operator can actually observe.

Do not collapse those facts into one label. A masking condition may explain why a fault appears only sometimes without being the initiating cause, and the visible symptom may be several layers downstream from both.

Test the causal explanation

Inspect the failing path and a proven path where the intended behavior is known to work. Compare their inputs, state transitions, dependencies, timing, and control flow to find the earliest meaningful divergence. Inspect relevant history, including blame, commits, migrations, and prior implementations, when it can explain why the paths diverged or which invariant was intended. Do not treat the most recent nearby change as causal without evidence.

Identify the smallest counterfactual that should change the outcome if the leading explanation is true. Change one condition at a time where practical, and record whether the symptom appears, disappears, or remains unchanged. Seek disconfirming evidence deliberately: name what observation would falsify the leading explanation, run that check when feasible, and retain contradictory results instead of explaining them away. Compare the final explanation against the proven path and show why the proposed causal boundary accounts for both the failure and the success.

Read the full file on GitHub · 52 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 Changed · -2 lines · -36 tokens per session 74083d93a321
  2. 1mo ago First seen · 54 lines · 57 tokens per session scan A e3df3c616fd5

Subscribe to this mod's changes

diagnostic-reasoning is a skill published in the GitHub repository kunchenguid/firstmate (8,295 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 652 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

systematic-debugging

Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.

open-metadata/OpenMetadata · 37 tokens

log-error-digest

Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…

zebbern/claude-code-guide · 71 tokens

deck-retro

Run a fully local agent-deck retrospective over the user's own transcripts, Recall index and logs. Use when a user wants to find recurring failures or take their own finding from investigation through synthetic reproduction, a user-filed issue, a test-first fix and contributor PR handoff. Also use for weekly usage…

asheshgoplani/agent-deck · 86 tokens

cwv-optimizer

Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages. Goes deeper than generic CWV advice by understanding EDS-specific performance patterns including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and…

adobe/skills · 112 tokens

incident-response-incident-response

Coordinate production incident triage, mitigation, investigation, recovery, and follow-up. Use when responding to outages or other incidents that require structured operational coordination.

rmyndharis/antigravity-skills · 36 tokens