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.
npx skills add pwdev-solucoes/pwdev-claude-marketplace --skill qa-specialist-datagit clone --depth 1 https://github.com/pwdev-solucoes/pwdev-claude-marketplaceWrote 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.
[](https://agentmods.dev/skills/pwdev-solucoes/pwdev-claude-marketplace/qa-specialist-data)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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, andevidence, plus access limits.
Procedure
- 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.
- Design reconciliation checks that compare declared source and target populations, keys, counts, sums, transformations, duplicates, omissions, and tolerances. Record the comparison scope and denominator.
- 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.
- 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.
- Ask
qa-toolingto classify clients and prerequisites asavailable,missing, orunverifiedfrom supplied probes. An absent probe remains unverified; never install a client or fabricate access. - 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.
- Return coverage or assessment to the calling workflow. Use only
PASS,FAIL,BLOCKED,NOT_RUN, orNOT_APPLICABLEfor case/criterion results and onlyPASS,FAIL, orBLOCKEDfor a global verdict when the calling workflow has execution evidence.
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.
- 1mo ago First seen · 107 lines · 26 tokens per session scan A 0e2433e6361f
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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