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solution-complexity-audit
Audit std/brute assumptions with MCP evidence, including worst/average complexity risk and stress readiness.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Audit std/brute assumptions with MCP evidence, including worst/average complexity risk and stress readiness.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.
Turn deterministic problem_audit difficulty signals into a CF-style rating with reasons and confidence.
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.
| name | solution-complexity-audit |
| description | Audit std/brute assumptions with MCP evidence, including worst/average complexity risk and stress readiness. |
| disable-model-invocation | false |
Used in the post-implementation audit stage after std/brute are available. You must provide structured evidence; verbal claims are not sufficient.
Call tools in this order and record the results:
solution_analyze: estimate std time/space complexity and record worst/average risks.solution_audit_std: verify whether claimed_complexity conflicts with estimated complexity and constraints.solution_audit_brute: confirm brute is suitable as a stress oracle and derive n_max and trials.high_tle_risk or obvious boundary flaws.n_max and total scale).stress_profiles recommendations are produced.decision: go / no_gofindings: structured issue list (including severity)recommended_stress_params: recommended stress parametersgo: no unresolved critical findings, high_tle_risk is false or low, and stress parameters are explicit and executable.no_go: any unresolved critical finding, or brute is not a trustworthy stress oracle.