assay: An agent-native QA CLI for web pages. Deterministic, no tests to write, no LLM

by awss1i · Agent Tool · ★ 107

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install assay

pip install assay-ui
uv tool install assay-ui    # or: pipx install assay-ui

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 68/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentic-aiai-agentsbrowser-automationclaude-codeclaude-code-modclicode-generationdeveloper-toolsend-to-end-testingllm

Quick Facts

Stars107
Forks6
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score68/100
Last Updated2026-10-19
Created2026-09-17
Platformsbrowser, claude-code, cli, python
Est. Tokens~16k

About assay

assay Drives your web page in a real browser and tells you what broke. No tests to write, no LLM. Checking a generated paint web page. pip install assay-ui Point it at a page. assay opens it in a real browser, measures every control it renders, works out a test plan from what it finds, drives all of it, and tells you what broke. Highlights No tests to write, no baselines to keep.

Compatible Skills

These tools work well together with assay for enhanced workflows:

  • agent-qa — semantic(0.44)+complementary+rare_topics+similar_pop+shared_platform (60%)
  • SHAFT_ENGINE — semantic(0.42)+complementary+rare_topics+similar_pop+shared_platform (59%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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