Show HN: AIQualityHQ – Browser-native prompt QA and security guardrails

AIQualityHQ launched as a browser-native suite of eleven applications for prompt quality assurance and security guardrails, running 38 deterministic linting rules and 15 OWASP LLM-01-aligned injection detectors locally with zero network calls. The tool set also includes a prompt rewriter with Git visual diffs, a BPE-based token analyzer covering 30+ models with cross-provider cost tables, and an LLM auditor that validates llms.txt files and generative engine optimization metrics. AIQualityHQ said multi-model testing workflows are still to come as the platform evolves.

Automated QA & Security Guardrails for Prompts and AI Agents This prompt has a strong structure. Ship it to any model. All checks passed. Zero structural, privacy, or security issues detected. Developers and AI teams need to catch prompt defects, red-team injection vectors, and optimize token costs before shipping to users. AIQualityHQ provides deterministic quality linting, adversarial security scanners, and subword token intelligence today — with multi-model testing workflows as the platform evolves. Built for AI developers, prompt engineers, and AppSec teams — validating output contracts, enforcing role boundaries, red-teaming adversarial inputs, and eliminating token bloat. Need to measure token bloat or model headroom? Analyze AI token usage https://aiqualityhq.com/ai-token-analyzer 38 Rules Deterministic prompt linter 15 Detectors OWASP LLM-01 security checks 30+ Models Context & token intelligence registry Browser-Native Local-first, reproducible & fast Ranked by product-hunting communities for speed, privacy & depth. AIQualityHQ is independently listed across LaunchTry, Shipstry, Launch List, Verified Tools, IndieHunt, Toolfio and EarlyHunt — no artificially inflated ratings or reviews. AI Quality Engineering Tools for Every Stage of the Prompt Lifecycle From initial prompt design to adversarial defense, token optimization, and automated refactoring — purpose-built browser tools that help teams Check → Secure → Fix → Optimize → Audit . Prompt Linter & Contract Checker https://aiqualityhq.com/checker Evaluate prompt structure, constraints, clarity, and output schemas against 38 deterministic rules running locally in your browser. Open Linter https://aiqualityhq.com/checker Prompt Injection Security Scanner https://aiqualityhq.com/prompt-injection-scanner Red-team prompts and RAG contexts against 15 deterministic detector modules covering direct hijacking, exfiltration, and context poisoning. Open Scanner https://aiqualityhq.com/prompt-injection-scanner Prompt Rewriter & Target Compiler https://aiqualityhq.com/prompt-rewriter Automated prompt refactoring for detected defects. Resolves constraint conflicts, adds delimiters, and provides side-by-side Git visual diffs. Open Rewriter https://aiqualityhq.com/prompt-rewriter AI Token Analyzer https://aiqualityhq.com/ai-token-analyzer Decompose prompts into architectural layers System, User, Context, Tools with exact subword BPE precision and multi-model cost tables. Analyze Tokens https://aiqualityhq.com/ai-token-analyzer The AIQualityHQ Suite by Product Domain Eleven browser-native applications organized across five core domains. Deterministic tools run locally in your browser with zero network calls; AI-assisted features are clearly labeled. Prompt Quality & Linting Static analysis for prompt templates, system instructions, and RAG conditioning. Catches conflicting constraints, role ambiguity, missing output delimiters, and formatting issues before code execution. Prompt Linter & Contract Checker →38 deterministic rules evaluating structure, negative constraints, and output schemas https://aiqualityhq.com/checker Quality Report Viewer → https://aiqualityhq.com/report Prompt Security & Guardrails Pre-deployment red-teaming and exploit detection. Evaluates inputs against direct prompt overrides, RAG context poisoning, behavioral jailbreaks, and system prompt exfiltration vectors. Token & Cost Intelligence Comprehensive token counting, subword fragmentation, cost estimation, and context capacity engineering. Built with exact BPE tokenizer logic and calibrated cross-provider models running directly in your browser with zero cloud storage. Prompt Engineering & Synthesis Active instruction authoring and automated defect fixing. Synthesize production-ready system prompts with role parameters or compile defective drafts into optimized model-specific prompts. AI Visibility & LLM Auditing Diagnose domain discoverability and brand grounding across frontier AI engines. Validate your llms.txt file and evaluate generative engine optimization GEO metrics. AI Prompt Quality & LLM Auditor →Audit domain LLM readiness, llms.txt compliance, and response accuracy supports BYOK keys https://aiqualityhq.com/ai-audit GEO Engineering Guide → https://aiqualityhq.com/generative-engine-optimization-ai-visibility Eliminate Token Bloat & Optimize Model Context Windows Every uncompressed prompt burns context headroom and drives unnecessary API expenditure. Follow the complete token engineering cycle: Measure → Detect Waste → Compare Tokenizers → Verify Headroom → Optimize . Calculate Your Token & API Cost Savings See how much static prompt pre-filtering & token optimization saves your team vs cloud evals. Estimates assume an average 18% token-bloat reduction from optimization and failed-injection filtering, and a 350ms cloud evaluation latency. Actual results vary by prompt and provider. Deconstruct BPE Tokens https://aiqualityhq.com/ai-token-analyzer Break down prompts into system, context, user, and schema layers with subword precision. Open Token Analyzer → https://aiqualityhq.com/ai-token-analyzer Detect Conversational Fluff https://aiqualityhq.com/ai-token-waste-analyzer Automatically identify polite filler and redundant formatting that waste token bandwidth. Open Waste Analyzer → https://aiqualityhq.com/ai-token-waste-analyzer Context Window Headroom https://aiqualityhq.com/ai-context-window-calculator Monitor utilization gauges and avoid "Lost in the Middle" attention degradation risks. Open Calculator → https://aiqualityhq.com/ai-context-window-calculator Cross-Model Tokenizer BPE https://aiqualityhq.com/ai-tokenizer-comparison Compare token efficiency and subword chunking across OpenAI, Anthropic, Google & Meta. Open Comparison → https://aiqualityhq.com/ai-tokenizer-comparison Red-Team Prompts Against Injections & Adversarial Jailbreaks Adversarial inputs compromise AI behavior in two distinct ways: single-turn instruction hijacking prompt injections and persona modulation jailbreaks . AIQualityHQ provides dedicated scanners for both threat vectors: - Prompt Injection Vectors: Malicious user input or tainted RAG documents overriding system constraints or extracting sensitive system instructions. - Behavioral Jailbreaks: DAN personas, hypothetical scenarios, and multi-turn roleplay tactics designed to bypass safety filters. Prompt Injection Scanner Evaluates prompts against 15 deterministic detection modules. Scans for direct override syntax, typoglycemia, and exfiltration probes. Open Injection Scanner → https://aiqualityhq.com/prompt-injection-scanner AI Jailbreak Detector Tests guardrail resilience against adversarial persona modulation, developer mode exploits, and simulated framing attacks. Open Jailbreak Detector → https://aiqualityhq.com/jailbreak-detector Deterministic. Reproducible. Private. By Design. Most prompt evaluation tools are just another LLM call — spending tokens to grade tokens with non-reproducible outputs. AIQualityHQ provides a deterministic static analysis and BPE token engine running directly in your browser. | Capability | AIQualityHQ Local Engine | Asking an LLM to Grade | Generic Cloud Tools | |---|---|---|---| | Deterministic & reproducible scores | ✓ | ✗ varies run to run | ✗ LLM-backed | | Local browser execution prompt text remains on device | ✓ | ✗ sent to provider | ✗ cloud processing | | Instant evaluation < 10ms, zero rate limits | ✓ | ✗ seconds + queues | ✗ network latency | | Free browser tools without required API keys | ✓ | ✗ API token cost | ✗ subscriptions | | Exact subword BPE token & context analytics | ✓ | ✗ rough estimate | ± basic counter | | Prompt injection & jailbreak security red-teaming | ✓ | ✗ | — rarely included | Local analysis tools Prompt Linter, Token Analyzer, Context Calculator, Injection Scanner execute fully locally. AI-assisted features Prompt Rewriter, AI Audit connect to external providers and are clearly demarcated. Six Core Dimensions of Prompt Quality Every prompt evaluated in AIQualityHQ is graded against six deterministic dimensions to isolate vulnerabilities and ensure output precision. 1. Prompt Structure Validates role assignments, task demarcation, formatting delimiters, explicit output specifications, and structural clarity. Read Structure Guide → https://aiqualityhq.com/ai-prompt-structure-better-responses 2. Memory & State Evaluates how effectively conversational history and variable context are referenced without overloading token windows. Calculate Context Headroom → https://aiqualityhq.com/ai-context-window-calculator 3. Context Grounding Measures document retrieval parameters, citation requirements, and grounding constraints to prevent out-of-bounds answers. Read Grounding Guide → https://aiqualityhq.com/context-grounding-ai-prompts-accuracy 4. Trust & Accuracy Flags ambiguous instructions, unverified assumptions, and factual grounding gaps that contribute to hallucinated LLM responses. Read Trust & Accuracy Guide → https://aiqualityhq.com/ai-tools-trustworthy-secure-prompts 5. PII & Privacy Detects exposed email addresses, API tokens, phone numbers, and raw user variables requiring sanitization. View Privacy Policy → https://aiqualityhq.com/privacy 6. Security & Safety Scans for prompt injection attacks, DAN jailbreak overrides, missing system instruction locks, and output boundary violations. Read Security Mitigation Guide → https://aiqualityhq.com/ai-prompt-security-risks-mitigation CHECK → SECURE → FIX → OPTIMIZE → TEST Deterministic prompt quality checks, adversarial security red-teaming, and token intelligence engineered for pre-production CI/CD pipelines. Prompt Linting Validate constraints and schema contracts against 38 deterministic rules. Open Linter → https://aiqualityhq.com/checker Security Scan Red-team prompt text and RAG context against 15 injection and jailbreak vectors. Open Scanner → https://aiqualityhq.com/prompt-injection-scanner Refactor Prompt Remediate linter violations and compile model-specific candidate instructions. Open Rewriter → https://aiqualityhq.com/prompt-rewriter Token Efficiency Eliminate conversational bloat and benchmark cross-model tokenizer costs. Analyze Tokens → https://aiqualityhq.com/ai-token-analyzer Automate & Eval Export Promptfoo CLI configurations for automated multi-model regression runs. View Docs → https://aiqualityhq.com/docs Engineering Guides & AI Quality Research In-depth technical architecture blueprints, testing methodologies, and governance frameworks from the AIQualityHQ engineering team. Explore all 26 AI engineering guides https://aiqualityhq.com/articles Modern AI Software Testing Framework https://aiqualityhq.com/artificial-intelligence-testing The authoritative 3,100-word cornerstone guide exploring the two dimensions of modern AI QA and the four pillars of AI-driven test automation. Read Full Guide https://aiqualityhq.com/artificial-intelligence-testing Autonomous AI Agent Governance https://aiqualityhq.com/defense-in-depth-autonomous-ai-agents-governance Defense-in-depth security architectures, human-in-the-loop gates, and deterministic execution boundaries for enterprise autonomous agents. Read Governance Blueprint https://aiqualityhq.com/defense-in-depth-autonomous-ai-agents-governance Generative Engine Optimization GEO https://aiqualityhq.com/generative-engine-optimization-ai-visibility How to configure llms.txt , structure entity documentation, and maximize brand citations in ChatGPT, Perplexity, and Claude. Read Visibility Guide https://aiqualityhq.com/generative-engine-optimization-ai-visibility Wysera — AI Assistant for Client Follow-Up https://wysera.ai/ One AI assistant that posts to your social, answers your leads, and follows up with clients. You approve before anything ships. Built for solo med spas, CPAs, and insurance agents. Frequently Asked Questions Common questions about AIQualityHQ. Visit our full FAQ page https://aiqualityhq.com/faq for detailed technical guides. What tools are included in the AIQualityHQ suite? Is my prompt data private and secure? How is AIQualityHQ different from asking an LLM to review my prompt? Can AIQualityHQ protect against prompt injection and jailbreaks? How does the Token Intelligence suite help reduce API costs? Ready to harden your AI prompts? Catch prompt quality problems, red-team injection vectors, and eliminate token bloat with deterministic QA and security guardrails. Browser-native tools run locally in your browser — no mandatory signup or API key required. AI-powered tools are clearly labeled.