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Dogfood: Systematic Web Application QA Testing · graniet | DecimalAI

testingby graniet

Dogfood: Systematic Web Application QA Testing

graniet/dogfood

Source graniet/kheish ↗License Apache-2.0

Systematic exploratory QA testing of web applications — find bugs, capture evidence, and generate structured reports

SkillScore68Maintained

Automatic

QA & Test Engineering pack

Last verified 8/23/2026

What it changes

Passed 12 of 17 test cases with the skill, and 7 of 17 without it.

Without skill41%

With skill68%

Checks it passed that the model alone missed

Tests form validation using empty submissions.
Categorizes the issue under the Console category.
Uses browser_scroll to inspect content below the fold.

and 5 more in the full report

7 fixed8 passed either way6 still failing1 broke

Pass-rate lift: +27 pp
Tokens: +33%
Agent turns: 0%
Response time: -43%

Model gemini-3.6-flashMeasured 8/23/2026v115 of 22 cases passed with skill · 17 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/graniet-dogfood/SKILL.md https://app.decimal.ai/s/graniet-dogfood/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add graniet-dogfood, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/graniet-dogfood/ and pins it in .decimal/skills.lock

decimalai skills add graniet-dogfood

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/graniet-dogfood/SKILL.md https://app.decimal.ai/s/graniet-dogfood/SKILL.md

Raw file: /s/graniet-dogfood/SKILL.md ↗ · machine-readable summary at /s/graniet-dogfood.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

I am writing up the issue details in markdown for a broken dropdown bug found at https://app.test/settings. What precise markup string pattern should be used to embed screenshot evidence images inline?

What was checked, without and with the skill
Checked	Without skill	With skill
Employs the MEDIA:<screenshot_path> syntax for inline image references.	Missed	Passed

case-11 · gemini-3.6-flash · 8/23/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md164 lines3 files

Kheish Compatibility

This skill is repo-local and stays inactive until explicitly activated.

When the original instructions refer to legacy tool names, use these Kheish mappings:

terminal => bash
web_extract => web_fetch, plus web_search when discovery is needed
search_files => grep_search and glob_search
browser_* tools require a browser-capable surfaced tool or MCP; if none is available, use the closest available surface and say so explicitly

When the instructions mention local helper files, resolve them from ${KHEISH_SKILL_DIR}.

Dogfood: Systematic Web Application QA Testing

Overview

This skill guides you through systematic exploratory QA testing of web applications using the browser toolset. You will navigate the application, interact with elements, capture evidence of issues, and produce a structured bug report.

Prerequisites

Browser toolset must be available (browser_navigate, browser_snapshot, browser_click, browser_type, browser_vision, browser_console, browser_scroll, browser_back, browser_press)
A target URL and testing scope from the user

Inputs

The user provides:

Target URL — the entry point for testing
Scope — what areas/features to focus on (or "full site" for comprehensive testing)
Output directory (optional) — where to save screenshots and the report (default: ./dogfood-output)

Workflow

Follow this 5-phase systematic workflow:

Phase 1: Plan

Create the output directory structure:
```
{output_dir}/
```

Track record

Benchmark

12 / 17

test cases passed, vs 7 / 17 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

graniet / kheish

skills/dogfood/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1Bundled 2 files

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Kheish Compatibility

Dogfood: Systematic Web Application QA Testing

Overview

Prerequisites

Inputs

Workflow

Phase 1: Plan

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills