Agent skill

QA

by suboss87 in suboss87/FDEOps

Exercise the delivered customer journey using real runtime or browser evidence.

MITAuto-check passedProduct & Project Management

Install QA

skills CLI
$ npx skills add suboss87/FDEOps --skill qa -a claude-code

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

GitHub CLI
$ gh skill install suboss87/FDEOps 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/suboss87/FDEOps.git skills-src && mkdir -p .claude/skills && cp -r skills-src/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
954
Token cost
~337 tokens
SKILL.md length
140 words
Files
12 (incl. references)
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Exercise the delivered customer journey using real runtime or browser evidence.

  • Works in 2 steps: Read the task context contract. → Read the method.
  • Functional acceptance testing after implementation
  • SKILL.md covers Purpose and Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

QA is an agent skill from suboss87/FDEOps. Exercise the delivered customer journey using real runtime or browser evidence. Use for functional acceptance testing after implementation, including failure paths.

Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files (for example `.fde-generated.json`, `agents/openai.yaml` and `references/build.md`).

It sits in Product & Project Management, covering Customer journey mapping. The repository describes itself as: Forward deployed engineering skills for AI coding agents. The licence is MIT.

When your agent uses it

  • Functional acceptance testing after implementation
  • Including failure paths

Example prompts

  • “/qa”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Read the task context contract.
  2. Read the method.

What it can do on your machine

Read from SKILL.md and the folder at commit 64d1d8a. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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 337 tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 140 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~337
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

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 suboss87/FDEOps at commit 64d1d8a, republished under its MIT licence (© suboss87). 140 words, ~337 tokens.

Download SKILL.mdSave it as .claude/skills/qa/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
qa
description
Exercise the delivered customer journey using real runtime or browser evidence. Use for functional acceptance testing after implementation, including failure paths.

qa

<!-- Generated by bin/generate-skills.js; edit the canonical references and catalog. -->

Purpose

Customer-journey evidence and acceptance gaps.

Before investigating or acting:

  1. Read the task context contract.
  2. Read the method.

Load further references only when the task needs them. Everything linked is included in this skill; no other skill pack is required.

Principles

  • Work directly from the supplied permitted context. Standalone work does not require an engagement folder or initialization. Record filenames in the method are optional persistence destinations when no engagement is bound.
  • If called by @fde, reuse its current sanitized packet and scope. Do not restart setup, discovery or questions already answered.
  • The task context contract controls persistence and authority in both modes. Preserve unknowns and distinguish implementation, verification, deployment and acceptance.
  • Use the customer's repository instructions and available tools. Report a missing capability or unrun check honestly; do not claim that installing a skill provisions infrastructure.

© suboss87, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 11 other files (references) in skills/qa of suboss87/FDEOps.

  • SKILL.md
  • .fde-generated.json
  • agents/openai.yaml
  • references/build.md
  • references/debug.md
  • references/eval-pack.md
  • references/integrate.md
  • references/qa.md
  • references/review.md
  • references/ship.md
  • references/task-context.md
  • references/verification.md

Open the folder on GitHubat commit 64d1d8a

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 skillsuboss87/FDEOps954—~337Automated safety check: PassMIT
QA Critical UXfastrepl/anarlog9.5k—~1.4kAutomated safety check: PassMIT
Attribution Analysis Modelingliangdabiao/claude-data-analysis-ultra-main2901 repos~2.3kAutomated safety check: NotesNone
User Story Mappingdeanpeters/Product-Manager-Skills7.2k2 repos~2.8kAutomated safety check: PassCustom licence
Prdjuanandresgs/claude-ctrl193—~2.9kAutomated safety check: PassNone
Super Product Ownersyahiidkamil/Software-Engineer-AI-Agent-Atlas401—~7.9kAutomated safety check: PassNone

Similar skills

  • QA Critical UX

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    QA Anarlog's critical Pro user journey on a signed staging candidate — onboarding, responsive launch, microphone and system-audio capture, automated summaries, and cloud sync.

    9.5k GitHub stars~1.4k tokensUpdated today
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  • Attribution Analysis Modeling

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    Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models.

    290 GitHub starsUsed in 1 repo~2.3k tokens
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  • User Story Mapping

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    Lays out a user journey as activities, steps, and tasks on a two-dimensional map that then informs backlog slicing.

    7.2k GitHub starsUsed in 2 repos~2.8k tokens
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  • Prd

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    Write structured feature specifications with problem statements, user journeys, use cases, functional requirements, and success metrics.

    193 GitHub stars~2.9k tokensUpdated 2 mo ago
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  • Super Product Owner

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  • Gstack QA Only

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More from suboss87/FDEOps

All 34 skills in this repo
  • Fde

    suboss87/FDEOps

    Keeps the engagement record for client work. An agent skill from suboss87/FDEOps.

    954 GitHub stars~2.9k tokensUpdated today
    Auto-check passed
  • Audit

    suboss87/FDEOps

    Audit an inherited engagement or implementation against its evidence.

    954 GitHub stars~341 tokensUpdated today
    Auto-check passed
  • Board Memo

    suboss87/FDEOps

    Draft a board or executive summary of an engagement using outcomes, risks and investment decisions.

    954 GitHub stars~343 tokensUpdated today
    Auto-check passed
  • Brief

    suboss87/FDEOps

    Clarify a new customer brief, desired outcome, constraints and evidence gaps.

    954 GitHub stars~339 tokensUpdated today
    Auto-check passed
  • Business Case

    suboss87/FDEOps

    Develop a business case for an initiative using costs, benefits, risks and evidence.

    954 GitHub stars~343 tokensUpdated today
    Auto-check passed
  • Connect

    suboss87/FDEOps

    Configure or diagnose access to a requested source using available host tools.

    954 GitHub stars~354 tokensUpdated today
    Auto-check passed

Questions about QA

What does QA do?

Exercise the delivered customer journey using real runtime or browser evidence. QA is an agent skill from suboss87/FDEOps. Exercise the delivered customer journey using real runtime or browser evidence.

When should I use QA?

QA fits situations like: functional acceptance testing after implementation; including failure paths.

How do I install QA in Claude Code?

Run `npx skills add suboss87/FDEOps --skill qa -a claude-code`. Or copy the skill folder (skills/qa in suboss87/FDEOps) 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 suboss87/FDEOps --skill qa -a codex`. Or copy the skill folder (skills/qa in suboss87/FDEOps) 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 suboss87/FDEOps --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?

SKILL.md names no scripts, command-line tools or credentials: QA is instructions for the agent only.

Does QA access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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 MIT 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 337 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.

What are the alternatives to QA?

Skills that share tags, products or a category with QA: QA Critical UX (fastrepl/anarlog, 9.5k stars), Attribution Analysis Modeling (liangdabiao/claude-data-analysis-ultra-main, 290 stars), User Story Mapping (deanpeters/Product-Manager-Skills, 7.2k stars) and Prd (juanandresgs/claude-ctrl, 193 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains QA?

suboss87 (a GitHub user) maintains it in suboss87/FDEOps, which has 954 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 8, 2026.

Source: suboss87/FDEOps on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.