bug-reporting-excellence

bug-reporting-excellence is a skill for Claude Code from proffesor-for-testing/agentic-qe. It costs 33 tokens per session (1,680 once invoked), scanned A, original, MIT.

A guide for writing bug reports with reproducible steps, expected and actual behavior, environment details, severity, and impact. It recommends keeping each report focused on one problem.

In plain words
What is it for?
Use it to report defects from development, staging, or production, including browser-specific or threshold-related problems. It also helps teams establish consistent bug-reporting standards.
Why use it?
It removes guesswork for the developer investigating an issue. Precise conditions, logs, and reproduction steps make bugs easier to confirm and fix.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: positional $N argument.

Part of the agentic-qe plugin — 41 skills, 143 commands, 10 agents, 10 hooks, 1 plugin shipped together

Good fit Use it to report defects from development, staging, or production, including browser-specific or threshold-related problems. It also helps teams establish consistent bug-reporting standards.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/proffesor-for-testing/agentic-qe/bug-reporting-excellence
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.

Any agent
npx skills add proffesor-for-testing/agentic-qe --skill bug-reporting-excellence
Clone the repo
git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe

Made for: Claude Code.

Or install agentic-qe, the plugin that ships this one along with the rest of its 41 skills, 143 commands, 10 agents, 10 hooks, 1 plugin.

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 bug-reporting-excellence

README.md
[![agentmods](https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/bug-reporting-excellence/github.svg)](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/bug-reporting-excellence)
Your own site
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/bug-reporting-excellence"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/bug-reporting-excellence/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 bug-reporting-excellence

Your own site · 80×15
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/bug-reporting-excellence"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/bug-reporting-excellence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,680 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.
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 $0.00033 $0.01680
Opus 5.5 $0.00013 $0.00672
Sonnet 5.5 $0.00007 $0.00336
Haiku 4.5 $0.00003 $0.00168

Measured 9d ago against content hash fa288cc92f88, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bug-reporting-excellence 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 9d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/bug-reporting-excellence/SKILL.md · 244 lines

How it starts

The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bug Reporting Excellence

<default_to_action> When reporting bugs:

  1. TITLE: [Component] fails [Condition] causing [Impact]
  2. DESCRIBE: Expected behavior → Actual behavior → Steps to reproduce
  3. INCLUDE: Environment, severity, screenshots/logs, business impact
  4. ISOLATE: Narrow down conditions (browser, user, amount thresholds)
  5. ONE BUG = ONE REPORT (don't combine issues)

Bug Report Formula:

## [Component] Issue Title
**Severity:** Critical/High/Medium/Low
**Environment:** Production/Staging/Dev

### Expected Behavior
What should happen

### Actual Behavior
What actually happens (with error messages)

### Steps to Reproduce
1. Step one
2. Step two
3. Observe issue

### Impact
How this affects users/business

Critical Success Factors:

  • Reproducible steps (100%)
  • Environment info (100%)
  • Business impact stated (90%)
  • Screenshots or logs (80%) </default_to_action>

Quick Reference Card

Severity Levels

Level Definition Examples
Critical System down, data loss, security DB deleted, payments broken, credentials exposed
High Major feature broken, many users Can't checkout, search broken, dashboard fails
Medium Partial break, workaround exists Filter broken (refresh works), slow export
Low Cosmetic, rare edge case Button wraps on mobile, tooltip wrong color

Title Formula

❌ Bad: "Checkout broken" ✅ Good: "Payment fails with Visa cards when order total > $1000"

Pattern: [Component] fails [Condition] causing [Impact]


Essential Information

Environment Details

Browser: Chrome 120.0.6099.109 (Windows)
OS: Windows 11 Pro
URL: https://example.com/checkout
Date/Time: 2025-10-17 14:23 UTC
User: [email protected] (ID: 12345)
Request ID: abc-123-def-456

Supporting Evidence

Error Messages:

{
  "error": "Payment service unavailable",
  "code": "GATEWAY_TIMEOUT",
  "requestId": "abc-123-def-456"
}

Console Logs:

[ERROR] PaymentGateway: Connection timeout after 30000ms
  at PaymentGateway.charge (gateway.js:145)

Read the full file on GitHub · 244 lines

Files

What ships with it

2 files 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.

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. 9d ago First seen · 244 lines · 33 tokens per session scan A fa288cc92f88

Subscribe to this mod's changes

bug-reporting-excellence is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (506 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 1,680 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 2026-10-11.

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