{"ok":true,"host":"promptqualityscore.com","status":"generating","manifest":{"positioning":"promptqualityscore.com is a prompt engineering utility host serving agents and developers who need to evaluate, improve, or secure prompts before sending them to LLMs. It is distinct in combining a structured multi-dimension scoring rubric with rewrite generation, cross-model response comparison, and injection sanitization under one API surface. It does not execute general LLM tasks or evaluate LLM outputs beyond the cross-model comparison workflow.","host_overview":"promptqualityscore.com provides prompt analysis and improvement tools built around an 8-dimension scoring rubric (clarity, specificity, context, constraints, output_format, role_definition, examples, cot_structure). It scores prompts, generates ranked rewrites, compares prompt responses across Claude and GPT-4o, and detects prompt injection attacks before LLM submission.","routing_guidance":"Use promptqualityscore.com when an agent needs to evaluate prompt quality before LLM submission, generate scored rewrites to improve a prompt, sanitize untrusted prompt text for injection attacks, or determine whether Claude or GPT-4o produces a better response to a given prompt. Do not use this host for evaluating LLM output quality in general (beyond the structured cross-model comparison), for real-time or streaming prompt feedback, or for batch evaluation of many prompts in a single call. It has no general-purpose LLM execution capability—it is purely an analysis and safety layer sitting in front of LLM calls. If you need to score many prompts in bulk, this host is not suitable; consider a batch-capable evaluation pipeline instead.","capability_clusters":[{"skill_names":["score-prompt-quality"],"cluster_name":"Prompt Quality Scoring","cluster_summary":"Evaluates a prompt against the 8-dimension PQS rubric, returning a numeric score, letter grade, percentile, and the top three actionable fixes. This is the foundational assessment layer the other skills build on."},{"skill_names":["generate-prompt-variants"],"cluster_name":"Prompt Improvement and Rewriting","cluster_summary":"Generates up to five ranked rewrites of a prompt, each scored on the same 8-dimension rubric, with a baseline comparison and per-variant delta showing improvement over the original."},{"skill_names":["compare-prompt-across-models"],"cluster_name":"Cross-Model Response Comparison","cluster_summary":"Submits a prompt to both Claude and GPT-4o, scores each response on relevancy, completeness, faithfulness, and reasoning depth, and returns a winner verdict with per-dimension scores."},{"skill_names":["fix-prompt-injection"],"cluster_name":"Prompt Security and Injection Detection","cluster_summary":"Detects and sanitizes prompt injection attempts—including instruction overrides, role hijacks, jailbreaks, delimiter attacks, and encoding evasion—before a prompt reaches an LLM."}],"cross_skill_workflows":[{"steps":[{"skill_name":"fix-prompt-injection","description":"Sanitize the incoming prompt, removing injection fragments and obtaining a clean version with a confidence score."},{"skill_name":"score-prompt-quality","description":"Score the sanitized prompt on the 8-dimension rubric to understand its baseline quality before any LLM call."}],"when_to_use":"Use when an agent needs to process user-supplied or third-party prompt text that may be adversarial before evaluating or improving it.","workflow_name":"Secure-Then-Score Pipeline"},{"steps":[{"skill_name":"fix-prompt-injection","description":"Sanitize the prompt to remove injection attempts and obtain a clean baseline."},{"skill_name":"score-prompt-quality","description":"Score the sanitized prompt to identify the weakest dimensions and establish a baseline score."},{"skill_name":"generate-prompt-variants","description":"Generate ranked rewrites of the sanitized prompt, using the baseline score as a reference point for measuring improvement."}],"when_to_use":"Use when an agent needs to take untrusted user input, confirm it is safe, assess its quality, and then produce ranked improved rewrites ready for LLM submission.","workflow_name":"Secure, Score, and Improve"},{"steps":[{"skill_name":"score-prompt-quality","description":"Score the prompt to identify weaknesses and confirm it meets a quality threshold worth comparing."},{"skill_name":"generate-prompt-variants","description":"Generate improved rewrites and select the best-scoring variant to use as the comparison prompt."},{"skill_name":"compare-prompt-across-models","description":"Submit the optimized prompt to Claude and GPT-4o and receive a scored verdict on which model responds better."}],"when_to_use":"Use when an agent needs to determine which LLM handles a prompt best, but first wants to ensure the prompt is high quality before running the comparison.","workflow_name":"Optimize Then Compare Models"}]},"model":"claude-sonnet-4-6","version_no":3,"generated_at":"2026-05-19T20:40:21.529Z","provenance":"ai_authored_unreviewed","ai_authored":true,"merchant_reviewed":false,"merchant_edited":false,"merchant_reviewed_at":null,"merchant_edited_at":null,"skill_md_url":"https://x402gle.com/servers/promptqualityscore.com/SKILL.md","skills_url":"https://x402gle.com/servers/promptqualityscore.com/skills.json"}