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-regressiongit 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-regression)<a href="https://agentmods.dev/skills/pwdev-solucoes/pwdev-claude-marketplace/qa-regression"><img src="https://agentmods.dev/badge/skills/pwdev-solucoes/pwdev-claude-marketplace/qa-regression/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-regression"><img src="https://agentmods.dev/badge/skills/pwdev-solucoes/pwdev-claude-marketplace/qa-regression.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 | $0.00023 | $0.01566 |
| Opus 5.5 | $0.00009 | $0.00626 |
| Sonnet 5.5 | $0.00005 | $0.00313 |
| Haiku 4.5 | $0.00002 | $0.00157 |
Grade A, and why
qa-regression 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan impact-based regression
Select regression checks from reachable change impact, not from convenience or the tests that happen to be available. Preserve the governing contract and make every inclusion and exclusion auditable. Read workflow, safety, artifacts, and evidence first.
Inputs
- Project root, target/environment/build identity, explicit objective or intent, identified contract source/hash, and the complete supplied criterion catalog with original IDs and text.
- Explicit change set with stable change IDs, affected components, interfaces, data, configuration, dependencies, roles, environments, and user journeys.
- Risks, prior incidents and defects, existing checks with stable case IDs, expected observable results, attempt history, prerequisites, cost, tool probes, and evidence needs.
- Explicit authorization for this write operation and the preserved authorization boundary for any proposed execution. Load, penetration, production, and external effects require separate, exact authorization before execution.
Procedure
- Preserve the explicit objective or intent, target, contract, criterion IDs/text, change IDs, existing state, approvals, and authorization exactly. Do not infer a complete change map, criterion catalog, approval, or execution permission.
- Identify affected surfaces and consult the installed applicable
qa-specialist-*skills, starting withqa-specialist-regression; consultqa-specialist-defects, requirements, functional, API, Web, mobile, data, security, performance, automation, CI/CD, or production specialists only when their surfaces are present. An unavailable applicable specialist is a limitation. Specialist guidance does not expand authorization. - Trace direct and transitive impact through components, interfaces, stored data, roles, error
paths, supported environments, and journeys. Materialize each relation with a change ID,
impact ID, risk ID, criterion ID, prior defect ID when applicable, and stable case ID; use an
explicit
noneplus rationale only when a relation legitimately has no defect or criterion. - Rank each impact by likelihood, consequence, blast radius, reversibility, and history. Select by impact with a stated rationale or justification, including applicable positive, negative, boundary, recovery, integration, and unchanged-control checks.
- Record selected and excluded case IDs separately. For every inclusion and exclusion, preserve its complete change-to-risk/criterion/defect-to-case trace, expected oracle, prerequisite, evidence need, cost, and reason. Convenience, familiarity, availability, or a prior green result never replaces impact and cannot justify omitting a higher-impact path.
- Classify each prerequisite and tool from observed probes as
available,missing, orunverified. Missing traceability, a material unassessed impact, an unsafe or absent oracle, or unavailable required coverage remainsBLOCKED; never substitute a non-equivalent check. - Preserve existing attempts and current defects, then apply verdict precedence. A proven
current in-scope failure, including an unlinked defect, is
FAIL; otherwise a pending impact, check, prerequisite, or evidence gap isBLOCKED. A plan is not execution evidence and cannot manufacturePASS. - Return the selection without executing tests. A later authorized workflow may execute it;
qa_report.py report --manifest PATH --project-root PATHis a later inert export and the report does not execute or re-run tests.
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 · 116 lines · 23 tokens per session scan A 58427169a50e
qa-regression 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 23 tokens to every session and 1,566 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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