regression-testing

regression-testing is a skill for Claude Code, Codex from upex-galaxy/agentic-qa-boilerplate. It costs 174 tokens per session (15,237 once invoked), scanned A, original, MIT.

A workflow for running regression tests, which check that existing features still work after code changes, through continuous-integration pipelines.

In plain words
What is it for?
It starts test runs, monitors them, examines failure artifacts, classifies failures, and reports a GO, CAUTION, or NO-GO result.
Why use it?
It turns test results and failures into a clear release decision instead of leaving developers to interpret scattered logs themselves.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; names the AskUserQuestion tool; installed under .agents/ (shared by several agents).

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is gh run download <RUN_ID> -n merged-allure-results-staging -D ./analysis/.

Good fit It starts test runs, monitors them, examines failure artifacts, classifies failures, and reports a GO, CAUTION, or NO-GO result.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/upex-galaxy/agentic-qa-boilerplate
agentmods
npx agentmods add skills/upex-galaxy/agentic-qa-boilerplate/regression-testing

Made for: Claude Code, Codex.

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 regression-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/upex-galaxy/agentic-qa-boilerplate/regression-testing/github.svg)](https://agentmods.dev/skills/upex-galaxy/agentic-qa-boilerplate/regression-testing)
Your own site
<a href="https://agentmods.dev/skills/upex-galaxy/agentic-qa-boilerplate/regression-testing"><img src="https://agentmods.dev/badge/skills/upex-galaxy/agentic-qa-boilerplate/regression-testing/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 regression-testing

Your own site · 80×15
<a href="https://agentmods.dev/skills/upex-galaxy/agentic-qa-boilerplate/regression-testing"><img src="https://agentmods.dev/badge/skills/upex-galaxy/agentic-qa-boilerplate/regression-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 174 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 15,237 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Prompt Injection · line 51
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Excessive Agency · line 273
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00174 $0.15237
Opus 5.5 $0.00070 $0.06095
Sonnet 5.5 $0.00035 $0.03047
Haiku 4.5 $0.00017 $0.01524

Measured 11d ago against content hash bbc2d7093282, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

regression-testing 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 11d 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.

.agents/skills/regression-testing/SKILL.md · 682 lines

How it starts

The opening of the file, as written. The whole thing — 682 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Forbidden invocations

NEVER invoke /sdd-* skills from this workflow. SDD is an optional user-installed ceremony; this skill ships self-contained and does not chain SDD under any condition. If you need to refactor KATA, fixtures, cli/, scripts/, or api/schemas/ pipeline, exit this skill first and invoke /framework-development — which itself runs Plan → Code → Verify → Archive natively (no SDD required).

This boundary is mechanical, not advisory: scripts/lint-skills.ts rejects any /sdd- mention outside this section. See: .agents/skills/agentic-qa-core/references/skill-composition-strategy.md §4 (governs users who manually install SDD).

Regression Testing — Execute, Analyze, Decide

Orchestrates the full release-readiness pipeline: trigger a CI suite, monitor it to completion, classify failures, score against release criteria, and emit a GO / CAUTION / NO-GO verdict plus a stakeholder report.

Three phases, always in this order: Execute → Analyze → Report. Do not skip analysis and jump to a report. Do not guess classification without reading failure logs.


Compact Rules

  • DO: run Execute → Analyze → Report in that order. Never skip analysis and jump to a report, and never classify a failure without reading its logs.
  • DO: clear the readiness preflight before triggering anything — gh authenticated, the suite's workflow file present, GitHub Actions secrets set, Allure resolvable, active env confirmed. A long run that 401s mid-way is the expensive failure.
  • DO: persist RUN_ID the moment the trigger returns, before anything else. Resume re-attaches to a live run instead of re-triggering CI; a trigger that landed without the id saved costs the whole run again.
  • DO NOT: mark a failure REGRESSION without checking its history first — the single most common misclassification. A first-ever failure with no history is NEW TEST, unverified, not a regression.
  • DO: classify every failure into exactly one of KNOWN-BLOCKED / KNOWN ISSUE / ENVIRONMENT / NEW TEST / FLAKY / REGRESSION, and assess severity on a separate axis — a FLAKY test on checkout is still CRITICAL. Classification is fail-closed: every class but REGRESSION cites its evidence (the @blocked:{BUG-KEY} marker; a ticket created BEFORE the run; the matching log line plus the other failures on that host; the empty history query; the ids and results of at least 5 runs on an unchanged build). No citation, or a ticket this session filed, = REGRESSION.
  • DO: exclude @blocked:{BUG-KEY} tests from the gating pass-rate and report their count with each blocking key. They are parked behind an already-filed bug: never REGRESSION, and never a new bug.
  • DO NOT: use ENVIRONMENT as a scapegoat. Many unrelated tests failing on one host is environment; one test failing on an endpoint other tests reach fine is more likely a REGRESSION.
  • DO NOT: call a test flaky on fewer than 5 runs of history — mark "insufficient history" and re-evaluate rather than guessing.
  • DO NOT: emit GO while any REGRESSION-class failure stands. Hard vetoes regardless of score: any @critical test failing, any HIGH/CRITICAL-severity regression, or a pass rate below 90%.
  • DO: file only CONFIRMED product failures — the REGRESSION class, plus a NEW TEST failure once manually confirmed to be a real defect. FLAKY, ENVIRONMENT and KNOWN ISSUE get no issue at all. Triage decides WHETHER to file; the defect-management doctrine decides the type and the fields.
  • DO NOT: open a GitHub issue for a quality failure. It is filed in the issue tracker, parented to the QA Defect Management process epic and linked to the source Story — never to a product or dev epic.
  • DO: create the RTR (Regression Test Results, a Test Execution: RTR: {scope-id}: Regression Testing, parent QA Test Artifacts, Test Environment set, assignee self, testPlan → RTP) BEFORE triggering CI, persist its key beside RUN_ID, and pass it as the execution_key dispatch input. One RTR per verdict. The STR is created or completed ONLY when the run is the sprint close (then it links to both the STP and the RTP).
  • DO NOT: import a regular regression run into the sprint STR, and never let smoke or sanity write into a regression execution: they import only when an execution key is passed explicitly.
  • DO: close the RTR (or the sprint-close STR) via complete only AFTER the verdict comment is posted on it, and leave the RTP at its ready status: a suite run never completes the plan it ran from.
  • DO NOT: invent a sprint number. The RTR needs none (its scope-id is {env}-{YYYY-MM-DD} or a release tag). N matters only for the sprint-close STR: take it from the user or from the STP's own scope-id, and ask before creating anything at sprint altitude.
  • DO NOT: skip the artifact download on a red build (evidence vanishes after the retention window), and never merge smoke and regression results into one pass-rate — their SLOs differ.
  • DO: inspect traces and screenshots with /playwright-cli ([AUTOMATION_TOOL]); it is the only browser path, no MCP backs it.

Read the full file on GitHub · 682 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago Changed bbc2d7093282
  2. 16d ago Changed 24c9f95a3419
  3. 17d ago Changed 35cfcb70c023
  4. 18d ago Changed a9942a71655c
  5. 20d ago Changed · +2 lines 34bb34708a86
  6. 22d ago Changed · -1 lines 3a993c1f6dbc
  7. 27d ago Changed · +2 lines 3e5ba228d4a6
  8. 28d ago Changed · +2 lines 1c21dba1dbd0
  9. 29d ago Changed · +59 lines f39b2db3660b
  10. 1mo ago First seen · 618 lines · 174 tokens per session scan A 5aa9d59a26dc

Subscribe to this mod's changes

regression-testing is a skill published in the GitHub repository upex-galaxy/agentic-qa-boilerplate (26 stars, last pushed 11d ago), licensed MIT. It adds 174 tokens to every session and 15,237 once invoked, about $0.0007 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 2026-08-30.

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