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QA Session · evgeniiperov | DecimalAI

testingby evgeniiperov

QA Session

evgeniiperov/qa

Source evgeniiperov/quay ↗License MIT

Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues. Explores the codebase in the background for context and domain language.

NewMaintained

Automatic

QA & Test Engineering pack

Last verified 8/6/2026

What it changes

Passed 5 of 11 test cases with the skill, and 6 of 11 without it.

Without skill50%

With skill41%

Checks it passed that the model alone missed

Limits clarifying questions to a maximum of 3 short questions.
Specifies launching a background agent with subagent_type set to Explore.
Asks the user whether to proceed to the next issue or conclude the QA session.

3 fixed6 passed either way8 still failing5 broke

Pass-rate lift: -9 pp
Tokens: +26%
Agent turns: 0%
Response time: -28%

Model gemini-3.6-flashMeasured 8/6/2026v19 of 22 cases passed with skill · 11 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/evgeniiperov-qa/SKILL.md https://app.decimal.ai/s/evgeniiperov-qa/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add evgeniiperov-qa, 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/evgeniiperov-qa/ and pins it in .decimal/skills.lock

decimalai skills add evgeniiperov-qa

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

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

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

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 3

Prompt

We just finished filing issue #45 for the navigation menu bug. What should you ask me immediately after printing the issue link?

What was checked, without and with the skill
Checked	Without skill	With skill
Asks the user whether to proceed to the next issue or conclude the QA session.	Missed	Passed

case-18 · gemini-3.6-flash · 8/6/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md125 linessingle file

QA Session

Run an interactive QA session. The user describes problems they're encountering. You clarify, explore the codebase for context, and file GitHub issues that are durable, user-focused, and use the project's domain language.

For each issue the user raises

1. Listen and lightly clarify

Let the user describe the problem in their own words. Ask at most 2-3 short clarifying questions focused on:

What they expected vs what actually happened
Steps to reproduce (if not obvious)
Whether it's consistent or intermittent

Do NOT over-interview. If the description is clear enough to file, move on.

2. Explore the codebase in the background

While talking to the user, kick off an Agent (subagent_type=Explore) in the background to understand the relevant area. The goal is NOT to find a fix — it's to:

Learn the domain language used in that area (check UBIQUITOUS_LANGUAGE.md)
Understand what the feature is supposed to do
Identify the user-facing behavior boundary

This context helps you write a better issue — but the issue itself should NOT reference specific files, line numbers, or internal implementation details.

3. Assess scope: single issue or breakdown?

Before filing, decide whether this is a single issue or needs to be broken down into multiple issues.

Break down when:

The fix spans multiple independent areas (e.g. "the form validation is wrong AND the success message is missing AND the redirect is broken")
There are clearly separable concerns that different people could work on in parallel
The user describes something that has multiple distinct failure modes or symptoms

Keep as a single issue when:

It's one behavior that's wrong in one place
The symptoms are all caused by the same root behavior

Track record

Benchmark

5 / 11

test cases passed, vs 6 / 11 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 — 8/2/2026

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

evgeniiperov / quay

.agents/skills/qa/SKILL.md

View on GitHub ↗

License MITImported 8/2/2026Version v1

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

QA Session

For each issue the user raises

1. Listen and lightly clarify

2. Explore the codebase in the background

3. Assess scope: single issue or breakdown?

Track record

Benchmark

Adoption

SkillSafety

Source

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