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 vindm/dotclaude --skill testinggit clone --depth 1 https://github.com/vindm/dotclaudeWrote 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/vindm/dotclaude/testing)<a href="https://agentmods.dev/skills/vindm/dotclaude/testing"><img src="https://agentmods.dev/badge/skills/vindm/dotclaude/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.
<a href="https://agentmods.dev/skills/vindm/dotclaude/testing"><img src="https://agentmods.dev/badge/skills/vindm/dotclaude/testing.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 | $0.00000 | $0.02401 |
| Opus 5.5 | $0.00000 | $0.00960 |
| Sonnet 5.5 | $0.00000 | $0.00480 |
| Haiku 4.5 | $0.00000 | $0.00240 |
Grade A, and why
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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/dotclaude:testing — test-risk elicitation
You are eliciting the project-specific test-coverage intent for the user's project: the coverage philosophy (as-we-go / backlog / none), the ONE module whose lack of coverage scares the user most, and the testing depth the project holds versus aspires to. The output is ONE thin artifact — .claude/dotclaude/test-risk-model.md — plus a key in dotclaude.yml. You do not author an agent, a rule file, or a hook: the consumed test-architect agent (shipped by the plugin — see agents/test-architect.md) already reads dotclaude.yml's artifacts.test-risk-model path at runtime, seeds its risk-weighted priority table from the artifact's top entry, falls back to deriving priorities from runtime signals alone when the artifact is absent, and layers the artifact's entries on top of its own four-mode methodology (audit / design / implement / maintain) when it's present (full contract: ../../docs/artifact-contract.md).
This elicitation is cheap and the consumed test-architect agent is useful even with an empty artifact — it falls back to its own generic risk tiers (auth → data-pipeline → billing → persistence → public API → algorithms → utilities) and to runtime signals (test/source ratio, most-edited untested files) when nothing has been elicited yet. What this skill adds is the part the codebase can't tell you: which module actually keeps the user up at night, and how far the team wants testing depth to go.
Phase 1 — Read the project's test shape
Before any question:
- Test framework — read whichever exists:
# JS / TS cat package.json 2>/dev/null | grep -A 2 '"scripts"' | grep -E "test|jest|vitest" ls jest.config.* vitest.config.* 2>/dev/null # Python cat pyproject.toml 2>/dev/null | grep -A 5 "\[tool.pytest" ls pytest.ini conftest.py 2>/dev/null # Rust grep -A 3 "\[dev-dependencies\]" Cargo.toml 2>/dev/null # Go ls *_test.go 2>/dev/null | head # Other ls .mocharc.* karma.conf.* phpunit.xml 2>/dev/null
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.
- 1mo ago First seen · 133 lines · 0 tokens per session scan A 7e906f398f04
testing is a skill published in the GitHub repository vindm/dotclaude (1 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,401 tokens. 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.
Other skills, from other repositories
tdd
Build this test-first, one behavior at a time: $ARGUMENTS.
test-generator
Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
qa-test-planner
Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.
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.
claude-md-review
Audit a CLAUDE.md file for the patterns that actually degrade Claude Code's output — vagueness, unnamed files, stale facts, and bloat. Use when asked to review, audit, improve, shrink, or fix a CLAUDE.md, and when a project's results feel inconsistent or Claude keeps rediscovering the same context.