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 upex-galaxy/agentic-qa-boilerplate --skill test-framework-adaptationgit clone --depth 1 https://github.com/upex-galaxy/agentic-qa-boilerplateWrote 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/upex-galaxy/agentic-qa-boilerplate/test-framework-adaptation)<a href="https://agentmods.dev/skills/upex-galaxy/agentic-qa-boilerplate/test-framework-adaptation"><img src="https://agentmods.dev/badge/skills/upex-galaxy/agentic-qa-boilerplate/test-framework-adaptation/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/upex-galaxy/agentic-qa-boilerplate/test-framework-adaptation"><img src="https://agentmods.dev/badge/skills/upex-galaxy/agentic-qa-boilerplate/test-framework-adaptation.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 | $0.00090 | $0.00248 |
| Opus 5.5 | $0.00036 | $0.00099 |
| Sonnet 5.5 | $0.00018 | $0.00050 |
| Haiku 4.5 | $0.00009 | $0.00025 |
Grade A, and why
test-framework-adaptation 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 22d 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.
What it actually says
Test Framework Adaptation
This skill has one mode, adapt. Forward $ARGUMENTS unchanged and load references/adaptation-workflow.md.
The reference owns the complete idempotent Phase 0-9 workflow. Its boundary is mandatory: Phases 0-2 are analysis and planning only; Phase 3 begins only after explicit approval of .context/reports/test-framework-adaptation-plan.md. Never bypass its genericness scan, credential stops, or ordered verification gate.
What ships with it
1 file 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.
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.
- 22d ago First seen · 16 lines · 90 tokens per session scan A 53c0b8153201
test-framework-adaptation is a skill published in the GitHub repository upex-galaxy/agentic-qa-boilerplate (26 stars, last pushed 11d ago), licensed MIT. It adds 90 tokens to every session and 248 once invoked, about $0.0004 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 2026-10-01.
Other skills, from other repositories
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
bug-reproduction
Turn a vague bug report into a VERIFIED minimal reproduction and then a failing regression test, agent-driven end to end. Covers extracting the implicit repro from a thin report (env, build, steps, data), the reproduce-minimize-isolate-capture loop, git bisect to find the introducing commit, building a deterministic…
chaos-engineering
Validate system resilience through controlled fault injection. Covers hypothesis-driven chaos experiments, failure injection types (network, service, infrastructure, dependency), LitmusChaos/Chaos Mesh/AWS FIS/Gremlin/toxiproxy tooling, automated abort gating, game day planning, and progressive chaos adoption. Use…
observability-driven-testing
Use production telemetry as INPUT to design new tests. Covers OpenTelemetry integration with tests, trace-based assertions, log-informed test creation, production-error analysis for coverage gaps, and telemetry-driven test prioritization. Use when: "trace-based testing," "design tests from logs," "OpenTelemetry…
playwright-automation
Write production-grade Playwright tests in TypeScript: Page Object Model, fixtures, auto-waiting, user-facing locators, parallel execution, CI integration, sharding, and installed-version checks. Includes an explicit "do not" list for AI agents. Use when: "Playwright," "write E2E test," "page object," "new Playwright…
quality-postmortem
Analyze escaped defects and test suite health through blameless postmortems. Covers bug pattern analysis, test suite health reviews, 5 Whys root cause analysis, process improvement cycles, and postmortem/retro meeting templates with action item tracking. Use when: "QA retro," "escaped bugs," "postmortem," "quality…