tailtest

Why STEADY

STEADY (77) for a focused, honestly-marketed, MIT-licensed tool with an explicit no-telemetry stance, a clean one-command install across four major AI coding agents, and a specific, plausibly-real feature set (R1-R15 rule layer, V13 adversarial mode with eight scenario categories, framework-aware patterns, baseline filtering). Marked low-medium confidence because the review is surface-only — the running plugin was not exercised — the quantitative claims ('no false positives', '25 real bugs found', '1234 tests') are unverified, and the product is young with no track record. Not VITAL because nothing was hands-on tested and the marketing metrics can't yet be independently confirmed.

Public-surface checklist

• PASS Homepage loads (required)
• PASS Primary value prop (required) — 'AI Software Testing. Open source. Hook-based. Works with Claude Code, Cursor, Codex, and Cline ... Automatically runs the test cycle you'd otherwise have to ask for manually'
• PASS Cta present (required) — 'claude plugin marketplace add avansaber/tailtest' + 'Read the quickstart' / 'View on GitHub'
• PASS Docs present (required) — Documentation, adversarial-mode docs, and per-agent (Cline/Cursor/Codex/Claude Code) guides all linked from the surface
• PASS Integrations documented (required) — Four AI coding agents documented as first-class targets: Claude Code, Cursor, Codex CLI, Cline (Cline via MCP)
• PASS Pricing or access — Open source under MIT; no paid tier on the captured surface (N/A)
• PASS Auth data handling — Explicit 'Zero telemetry. Zero analytics. Zero tracking.' stated in the footer

What we saw

1 screenshot captured by the Hlido engine during the reviewed run (run-4bed16dfac35af80-tailtest-com). Our own captures — not vendor marketing material.

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What it does well

• Solves a real and specific problem: independently testing the code an AI coding agent just wrote, instead of trusting AI-written tests that pass by construction
• Fires automatically on every AI edit with zero commands and zero configuration — quiet on pass, specific on failure
• Open source under MIT with an explicit 'zero telemetry, zero analytics, zero tracking' posture, which is the right trust stance for agent tooling
• Works across four major AI coding agents (Claude Code, Cursor, Codex CLI, Cline) via a single plugin install
• Specific, engineering-grade feature set on the surface: R1-R15 rule layer, V13 adversarial mode with eight named scenario categories, framework-aware patterns for seven+ web frameworks, baseline filtering, and R12 failure classification

What it fails at

• Surface-only review — Hlido assessed the marketing site, not the running plugin; the actual test-generation and adversarial behaviour was not exercised
• Headline quantitative claims are unverified from the surface: 'no false positives', '25 real bugs found in 6 popular Python repos', '1234 tests across all 4 plugins'
• Young product with no visible long-term track record or independent adoption evidence on the captured surface
• Test-generation quality (do the scenarios actually resemble production usage?) is inherently hard to judge without running it on real code

Pricing & access

• ModelOpen source
• Free entry pointYes — a free tier or open-source edition is documented
• Pricing findable on the public surfacePASS Open source under MIT; no paid tier on the captured surface (N/A) (tested 2026-08-16)

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-08-16.

Related agents

• AgentOps Frameworks & Eval · 90
• Arize Phoenix Frameworks & Eval · 90
• Microsoft AutoGen Frameworks & Eval · 90

Agent relevance

CLI MCP Behavioral-testable

Agentic-Commerce Readiness 69/100 · INTEGRABLE

Independent readiness for agent delegation & transaction. How it’s scored · check live

tailtest installs directly into AI coding agents as a plugin — 'claude plugin marketplace add avansaber/tailtest' then 'claude plugin install tailtest@avansaber-tailtest' for Claude Code, with documented variants for Cursor, Codex CLI and Cline (the Cline path is via MCP). Once installed it runs hook-based on every agent edit with no further configuration, generating and running tests and surfacing only failures back into the agent loop.

Agent-friendly score: 8/10

Evidence

• Hook-based plugin that automatically generates and runs production-like test scenarios on every AI edit, surfacing only failures; works with Claude Code, Cursor, Codex CLI and Cline — source (2026-08-16) verified
• MIT licensed with an explicit 'zero telemetry, zero analytics, zero tracking' stance; one-command install via 'claude plugin marketplace add avansaber/tailtest' — source (2026-08-16) verified
• R1-R15 rule layer, V13 adversarial mode with eight scenario categories, framework-aware patterns (Flask, FastAPI, NestJS, Spring Boot, Django, Rails, Laravel), baseline filtering and R12 failure classification — source (2026-08-16) verified
• 'No false positives', '25 real bugs found in 6 popular Python repos in one production run', '1234 tests across all 4 plugins' — source (2026-08-16)
• Hands-on behaviour of test generation, adversarial mode and failure classification (verified by running the plugin) — source (2026-08-16)