engineering-testing-strategy

engineering-testing-strategy is a skill for Claude Code, Codex from felipeblassioli/agent-skills. It costs 36 tokens per session (297 once invoked), scanned A, original, no licence file.

A testing-strategy guide for deciding what to test, which test types to use, and where coverage matters most. It applies to APIs, data pipelines, frontend systems, and infrastructure.

In plain words
What is it for?
It is for creating test plans and choosing priorities across unit, integration, end-to-end, and infrastructure testing.
Why use it?
It helps teams avoid testing too little, testing the wrong things, or spending equal effort on low- and high-risk areas.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for creating test plans and choosing priorities across unit, integration, end-to-end, and infrastructure testing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/felipeblassioli/agent-skills/engineering-testing-strategy
Install

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.

Any agent
npx skills add felipeblassioli/agent-skills --skill engineering-testing-strategy
Clone the repo
git clone --depth 1 https://github.com/felipeblassioli/agent-skills

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 engineering-testing-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/felipeblassioli/agent-skills/engineering-testing-strategy.svg)](https://agentmods.dev/skills/felipeblassioli/agent-skills/engineering-testing-strategy)
Your own site
<a href="https://agentmods.dev/skills/felipeblassioli/agent-skills/engineering-testing-strategy"><img src="https://agentmods.dev/badge/skills/felipeblassioli/agent-skills/engineering-testing-strategy.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 297 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 $0.00036 $0.00297
Opus 5 $0.00018 $0.00148
Sonnet 5 $0.00007 $0.00059
Haiku 4.5 $0.00004 $0.00030

Measured 4d ago against content hash 5a8dfef85b8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

engineering-testing-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 4d 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.

packs/engineering-workflows/skills/engineering-testing-strategy/SKILL.md · 60 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

Files

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.

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. 4d ago First seen · 60 lines · 36 tokens per session scan A 5a8dfef85b8b

Subscribe to this mod's changes

engineering-testing-strategy is a skill published in the GitHub repository felipeblassioli/agent-skills (2 stars, last pushed 12d ago), with no licence file. It adds 36 tokens to every session and 297 once invoked, about $0.0002 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 2026-09-03.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

neuron-evaluation-engineer

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…

neuron-core/neuron-ai · 77 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens

skill-benchmark

Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.

HoangNguyen0403/agent-skills-standard · 16 tokens