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Turn deterministic problem_audit difficulty signals into a CF-style rating with reasons and confidence.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Use when creating competitive programming problems with AutoCode MCP tools. Enforces the plugin workflow for problem statements, std/brute solutions, validators, generators, stress tests, final data verification, and Polygon packaging.
Validate statement samples and sample files for competitive programming problems. Ensures the expected outputs in problem statements match the actual solution output.
Verify final tests with hard quality gates: integrity, consistency, validator, limit semantics, and wrong-solution kill.
Audit statement, tutorial, and samples for consistency and publication readiness before packaging.
Define and enforce project-wide quality standards for agent and skill documents. Use when creating, reviewing, or refactoring files under agents/ and skills/ to keep structure, terminology, and output contracts consistent.
Audit std/brute assumptions with MCP evidence, including worst/average complexity risk and stress readiness.
| name | problem-difficulty-rating |
| description | Turn deterministic problem_audit difficulty signals into a CF-style rating with reasons and confidence. |
| disable-model-invocation | false |
Use this after problem_audit(include_difficulty=true) has produced difficulty_signals.
rating, band, and confidence from difficulty_signals.estimated_complexity, algorithm_tags, constraint_scale, implementation_evidence, and data_strength.risk_report.rating: CF-style integer from 800 to 3500.band: 入门 / 基础 / 中等 / 较难 / 困难 / 高难.confidence: low / medium / high, mapped from the numeric confidence.reasons: 3-5 bullets that cite concrete signals.why_not_lower: one sentence explaining why the problem is not easier.why_not_higher: one sentence explaining why the problem is not harder.calibration_notes: uncertainty and human-review notes.confidence < 0.5, mark the rating provisional and list missing evidence.problem_audit over intuition.