Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues.

Apache-2.0Auto-check passed

Install QA

skills CLI
$ npx skills add fossasia/eventyay-interpretation --skill qa -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install fossasia/eventyay-interpretation qa --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/fossasia/eventyay-interpretation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/qa .claude/skills/qa && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
qa
GitHub stars
1.6k
Used in
8 other repos
Token cost
~1.2k tokens
SKILL.md length
532 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
Apache-2.0

At a glance

Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues.

  • Works in 5 steps: Listen and lightly clarify → Explore the codebase in the background → Assess scope: single issue or breakdown? → …
  • User wants to report bugs
  • Calls gh
  • File issues conversationally

What it does

QA is an agent skill from fossasia/eventyay-interpretation. 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. Use when user wants to report bugs, do QA, file issues conversationally, or mentions "QA session".

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with GitHub. The repository describes itself as: A plugin for live interpretation of video streams. The licence is Apache-2.0.

When your agent uses it

  • User wants to report bugs
  • File issues conversationally
  • Mentions QA session

Example prompts

  • “QA session”
  • “/qa”

Requirements

  • Docker

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Listen and lightly clarify
  2. Explore the codebase in the background
  3. Assess scope: single issue or breakdown?
  4. File the GitHub issue(s)
  5. Continue the session

What it can do on your machine

Read from SKILL.md and the folder at commit 1ca0139. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

QA loads about 1.2k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 532 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from fossasia/eventyay-interpretation at commit 1ca0139, republished under its Apache-2.0 licence (© fossasia). 532 words, ~1,233 tokens.

Download SKILL.mdSave it as .claude/skills/qa/SKILL.md (or your agent's skills folder).
name
qa
description
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. Use when user wants to report bugs, do QA, file issues conversationally, or mentions "QA session".

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
4. File the GitHub issue(s)

Create issues with gh issue create. Do NOT ask the user to review first — just file and share URLs.

Issues must be durable — they should still make sense after major refactors. Write from the user's perspective.

Show full SKILL.md (215 more words)Show less
For a single issue

Use this template:

## What happened

[Describe the actual behavior the user experienced, in plain language]

## What I expected

[Describe the expected behavior]

## Steps to reproduce

1. [Concrete, numbered steps a developer can follow]
2. [Use domain terms from the codebase, not internal module names]
3. [Include relevant inputs, flags, or configuration]

## Additional context

[Any extra observations from the user or from codebase exploration that help frame the issue — e.g. "this only happens when using the Docker layer, not the filesystem layer" — use domain language but don't cite files]
For a breakdown (multiple issues)

Create issues in dependency order (blockers first) so you can reference real issue numbers.

Use this template for each sub-issue:

## Parent issue

#<parent-issue-number> (if you created a tracking issue) or "Reported during QA session"

## What's wrong

[Describe this specific behavior problem — just this slice, not the whole report]

## What I expected

[Expected behavior for this specific slice]

## Steps to reproduce

1. [Steps specific to THIS issue]

## Blocked by

- #<issue-number> (if this issue can't be fixed until another is resolved)

Or "None — can start immediately" if no blockers.

## Additional context

[Any extra observations relevant to this slice]

When creating a breakdown:

  • Prefer many thin issues over few thick ones — each should be independently fixable and verifiable
  • Mark blocking relationships honestly — if issue B genuinely can't be tested until issue A is fixed, say so. If they're independent, mark both as "None — can start immediately"
  • Create issues in dependency order so you can reference real issue numbers in "Blocked by"
  • Maximize parallelism — the goal is that multiple people (or agents) can grab different issues simultaneously
Rules for all issue bodies
  • No file paths or line numbers — these go stale
  • Use the project's domain language (check UBIQUITOUS_LANGUAGE.md if it exists)
  • Describe behaviors, not code — "the sync service fails to apply the patch" not "applyPatch() throws on line 42"
  • Reproduction steps are mandatory — if you can't determine them, ask the user
  • Keep it concise — a developer should be able to read the issue in 30 seconds

After filing, print all issue URLs (with blocking relationships summarized) and ask: "Next issue, or are we done?"

5. Continue the session

Keep going until the user says they're done. Each issue is independent — don't batch them.

© fossasia, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/qa of fossasia/eventyay-interpretation.

Open the folder on GitHubat commit 1ca0139

Used in 9 other repositories

We found 12 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 8 other GitHub owners. This page covers the copy in fossasia/eventyay-interpretation, which our catalogue first saw on October 7, 2026.

Compare with similar skills

QA next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

QA compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
QA this skillfossasia/eventyay-interpretation1.6k8 repos~1.2kAutomated safety check: PassApache-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Diagnosing Superpowers Sessionsobra/superpowers296k3 repos~1.7kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

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Works with

Questions about QA

What does QA do?

Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues. QA is an agent skill from fossasia/eventyay-interpretation. Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues.

When should I use QA?

QA fits situations like: user wants to report bugs; file issues conversationally; mentions QA session.

How do I install QA in Claude Code?

Run `npx skills add fossasia/eventyay-interpretation --skill qa -a claude-code`. Or copy the skill folder (.agents/skills/qa in fossasia/eventyay-interpretation) into .claude/skills/qa in your project. Claude Code loads it when a task matches its description.

How do I install QA in Codex?

Run `npx skills add fossasia/eventyay-interpretation --skill qa -a codex`. Or copy the skill folder (.agents/skills/qa in fossasia/eventyay-interpretation) into .agents/skills/qa in your project. Codex loads it when a task matches its description.

Can I use QA in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add fossasia/eventyay-interpretation --skill qa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qa, .gemini/skills/qa, .github/skills/qa and .opencode/skills/qa in your project.

What does QA need to run?

Going by SKILL.md and its folder, QA needs the command-line tools its instructions call (gh). Our summary lists: Docker.

Does QA access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is QA safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does QA use?

QA is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does QA use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to QA?

Skills that share tags, products or a category with QA: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains QA?

fossasia (a GitHub organization) maintains it in fossasia/eventyay-interpretation, which has 1,552 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 5, 2026.

Source: fossasia/eventyay-interpretation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.