ai-native-qa-automation: Skill for Claude Code

.claude/skills/test-strategy/SKILL.md

test-strategy is a skill for Claude Code from Sneh14/ai-native-qa-automation. It costs 22 tokens per session (648 once invoked), scanned A, original, no licence file.

A guide for deciding where different tests should run: unit tests for small pieces of code, API tests for server interfaces, component tests for UI parts, and end-to-end tests for complete user journeys.

In plain words
What is it for?
Use it to analyze test scenarios and assign each one to the unit, API, component, or end-to-end layer.
Why use it?
It prevents every scenario from being tested in a slow, expensive browser test when a smaller test would be enough. It also helps choose suitable coverage for each case.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

This is Sneh14/ai-native-qa-automation's own configuration. It tells Claude Code how to work on ai-native-qa-automation itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-native-qa-automation configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Sneh14/ai-native-qa-automation. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Sneh14/ai-native-qa-automation/main/.claude/skills/test-strategy/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Sneh14/ai-native-qa-automation

Made for: Claude Code.

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 test-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/sneh14/ai-native-qa-automation/test-strategy/github.svg)](https://agentmods.dev/skills/sneh14/ai-native-qa-automation/test-strategy)
Your own site
<a href="https://agentmods.dev/skills/sneh14/ai-native-qa-automation/test-strategy"><img src="https://agentmods.dev/badge/skills/sneh14/ai-native-qa-automation/test-strategy/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 test-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/sneh14/ai-native-qa-automation/test-strategy"><img src="https://agentmods.dev/badge/skills/sneh14/ai-native-qa-automation/test-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 648 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 unknown 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 $0.00022 $0.00648
Opus 5 $0.00011 $0.00324
Sonnet 5 $0.00004 $0.00130
Haiku 4.5 $0.00002 $0.00065

Measured 10d ago against content hash 8aa710b6cb51, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

test-strategy 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 10d 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.

.claude/skills/test-strategy/SKILL.md · 51 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 10d ago First seen · 51 lines · 22 tokens per session scan A 8aa710b6cb51

Subscribe to this mod's changes

test-strategy is a skill published in the GitHub repository Sneh14/ai-native-qa-automation (11 stars, last pushed 2mo ago), with no licence file. It adds 22 tokens to every session and 648 once invoked, about $0.0001 per session on Opus 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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