qa-specialist-data

qa-specialist-data is a skill for Claude Code from pwdev-solucoes/pwdev-claude-marketplace. It costs 26 tokens per session (1,410 once invoked), scanned A, original, Apache-2.0.

A data-testing guide for checking reconciliation, integrity, transactions, concurrency, and atomicity. Reconciliation means comparing source data with the resulting target data; atomicity means a change fully succeeds or fully rolls back.

In plain words
What is it for?
It helps plan source-to-target comparisons, constraint checks, transaction and rollback tests, retry behavior, and safe synthetic-data validation.
Why use it?
It prevents database checks from assuming access or permissions that were never granted, and separates visible outcomes from hidden assumptions. It makes schemas, mappings, tolerances, and durable results explicit.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pwdev-qa plugin — 16 skills, 6 commands shipped together

Good fit It helps plan source-to-target comparisons, constraint checks, transaction and rollback tests, retry behavior, and safe synthetic-data validation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pwdev-solucoes/pwdev-claude-marketplace/qa-specialist-data
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 pwdev-solucoes/pwdev-claude-marketplace --skill qa-specialist-data
Clone the repo
git clone --depth 1 https://github.com/pwdev-solucoes/pwdev-claude-marketplace

Made for: Claude Code.

Or install pwdev-qa, the plugin that ships this one along with the rest of its 16 skills, 6 commands.

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 qa-specialist-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/pwdev-solucoes/pwdev-claude-marketplace/qa-specialist-data/github.svg)](https://agentmods.dev/skills/pwdev-solucoes/pwdev-claude-marketplace/qa-specialist-data)
Your own site
<a href="https://agentmods.dev/skills/pwdev-solucoes/pwdev-claude-marketplace/qa-specialist-data"><img src="https://agentmods.dev/badge/skills/pwdev-solucoes/pwdev-claude-marketplace/qa-specialist-data/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 qa-specialist-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/pwdev-solucoes/pwdev-claude-marketplace/qa-specialist-data"><img src="https://agentmods.dev/badge/skills/pwdev-solucoes/pwdev-claude-marketplace/qa-specialist-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,410 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 $0.00026 $0.01410
Opus 5.5 $0.00010 $0.00564
Sonnet 5.5 $0.00005 $0.00282
Haiku 4.5 $0.00003 $0.00141

Measured 1mo ago against content hash 0e2433e6361f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qa-specialist-data 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 1mo 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.

plugins/pwdev-qa/skills/qa-specialist-data/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QA data specialist

Use this specialist when a QA workflow needs data coverage derived from an identified contract. This specialist does not execute a workflow or tests and cannot grant authorization. Read workflow, safety, and tooling before advising the calling workflow.

Inputs

  • Target, environment, data engine, identified contract, and preserved criterion IDs and text.
  • Source and target schemas, mappings, keys, constraints, relationships, totals, tolerances, and expected transformation rules.
  • Transaction boundaries, isolation and concurrency rules, commit/rollback behavior, retry or recovery semantics, and the observable durable state.
  • Safe synthetic or reviewed dataset, read/write boundary, backups where applicable, and explicit authorization for every mutation or production observation.
  • Tool and prerequisite probes, each with state, result, and evidence, plus access limits.

Procedure

  1. Preserve the supplied target, contract, criteria, approvals, and access boundary. Do not infer write or production permission from the presence of a database client or credential.
  2. Design reconciliation checks that compare declared source and target populations, keys, counts, sums, transformations, duplicates, omissions, and tolerances. Record the comparison scope and denominator.
  3. Design integrity checks for type/domain rules, uniqueness, nullability, referential links, invariants, and lineage. Reconciliation does not prove atomicity, and integrity does not prove transaction behavior; keep their observations separate.
  4. Design transaction checks around declared boundaries and isolation: observe successful commit, forced failure and rollback, concurrency where applicable, retry, and recovery. Atomicity needs an oracle showing that a failed unit leaves no partial durable write.
  5. Ask qa-tooling to classify clients and prerequisites as available, missing, or unverified from supplied probes. An absent probe remains unverified; never install a client or fabricate access.
  6. Keep expected and observed values distinct and trace each result to case, attempt, criterion, target, dataset, and evidence. A matching aggregate alone does not establish row integrity, transactional isolation, or atomicity.
  7. Return coverage or assessment to the calling workflow. Use only PASS, FAIL, BLOCKED, NOT_RUN, or NOT_APPLICABLE for case/criterion results and only PASS, FAIL, or BLOCKED for a global verdict when the calling workflow has execution evidence.

Read the full file on GitHub · 107 lines

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. 1mo ago First seen · 107 lines · 26 tokens per session scan A 0e2433e6361f

Subscribe to this mod's changes

qa-specialist-data is a skill published in the GitHub repository pwdev-solucoes/pwdev-claude-marketplace (3 stars, last pushed 10d ago), licensed Apache-2.0. It adds 26 tokens to every session and 1,410 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 2026-09-16.

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