xwiki-test-guidelines

xwiki-test-guidelines is a skill for Claude Code from xwiki/xwiki-dev-llm. It costs 27 tokens per session (735 once invoked), scanned A, original, LGPL-2.1.

A set of XWiki-specific rules and documentation for writing automated tests. It explains the testing framework and the practices expected in the XWiki codebase.

In plain words
What is it for?
Use it when creating or reviewing tests for XWiki code and when you need guidance on the project's testing framework.
Why use it?
It gives contributors the project context needed to write tests that fit existing conventions and are easier to maintain.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the xwiki plugin — 24 skills, 2 hooks shipped together

Good fit Use it when creating or reviewing tests for XWiki code and when you need guidance on the project's testing framework.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xwiki/xwiki-dev-llm/xwiki-test-guidelines
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 xwiki/xwiki-dev-llm --skill xwiki-test-guidelines
Clone the repo
git clone --depth 1 https://github.com/xwiki/xwiki-dev-llm

Made for: Claude Code.

Or install xwiki, the plugin that ships this one along with the rest of its 24 skills, 2 hooks.

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 xwiki-test-guidelines

README.md
[![agentmods](https://agentmods.dev/badge/skills/xwiki/xwiki-dev-llm/xwiki-test-guidelines.svg)](https://agentmods.dev/skills/xwiki/xwiki-dev-llm/xwiki-test-guidelines)
Your own site
<a href="https://agentmods.dev/skills/xwiki/xwiki-dev-llm/xwiki-test-guidelines"><img src="https://agentmods.dev/badge/skills/xwiki/xwiki-dev-llm/xwiki-test-guidelines.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 735 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 $0.00027 $0.00735
Opus 5 $0.00014 $0.00367
Sonnet 5 $0.00005 $0.00147
Haiku 4.5 $0.00003 $0.00073

Measured 8d ago against content hash dc460c95d097, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

xwiki-test-guidelines 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 8d 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.

xwiki/skills/xwiki-test-guidelines/SKILL.md · 26 lines

The source is not reproduced here

Licensed LGPL-2.1

The repository is licensed LGPL-2.1, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 8d ago First seen · 26 lines · 27 tokens per session scan A dc460c95d097

Subscribe to this mod's changes

xwiki-test-guidelines is a skill published in the GitHub repository xwiki/xwiki-dev-llm (3 stars, last pushed today), licensed LGPL-2.1. It adds 27 tokens to every session and 735 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 2026-08-31.

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