OV

    输出校验规则审计 · Output Validation Auditor

    1

    审计 Agent 输出校验规则:覆盖盲区、误拦截与绕过风险,输出加固清单。

    $7

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more
    OV

    输出校验规则审计 · Output Validation Auditor

    Example session with this skill installed

    请审计这套 Agent 输出校验规则,找出覆盖盲区和可绕过点,并给加固建议。

    • Read your context and instructions
    • Compiled the output validation auditor

    输出校验规则审计完成。

    规则覆盖问题建议
    长度限制✓未限 token 上限加 max_tokens
    JSON Schema⚠只校验顶层字段递归校验嵌套
    敏感词过滤❌可被同音字绕过加语义层
    引用校验❌无来源检查输出要求附证据

    加固清单

    1. 增加输出格式白名单(JSON/Markdown/纯文本)。
    2. 禁止输出中出现系统提示词原文。
    3. 对长度、Schema、敏感词各加 10 条回归用例。

    Next steps

    1. 高危规则本周上线。
    2. 每月跑一次规则回归。

    Connects securely to your tools. The creator never sees your data.

    What you get

    Identify blind spots in AI output validation logicDetect rules that cause excessive false positive blockingGenerate a hardened rule set for production AI agentsAudit JSON schema checks for data pipeline integrityReview content filters for compliance and security risks

    About this skill

    它解决什么问题

    输出验证规则看起来很严格，但存在漏洞：没有格式检查，没有禁止内容测试，并且绕过无人测试。

    这个技能做什么

    • 根据覆盖范围和绕过风险审核验证规则。
    • 测试格式、长度、模式和禁止内容检查。
    • 标记破坏合法输出的过度阻塞。
    • 返回包含回归案例的强化规则集。

    为什么比裸提示词强

    它强制执行审核框架：规则、覆盖率、绕过、误报，因此验证被视为安全性，而不是格式化。

    典型用例

    • 强化聊天机器人的输出过滤器。
    • 检查代理管道中的 JSON 架构检查。
    • 发布前合规性验证审核。

    局限

    它会审查您提供的规则；它不运行您的实时模型。

    English · 英文介绍

    The problem

    Output validation rules look strict but leak: no format checks, no forbidden-content tests, and bypasses nobody tested.

    What it does

    • Audits validation rules against coverage and bypass risks.
    • Tests format, length, schema, and forbidden-content checks.
    • Flags over-blocking that breaks legitimate outputs.
    • Returns a hardened rule set with regression cases.

    Why this beats prompting it yourself

    It enforces an audit frame: rule, coverage, bypass, false-positive, so validation is treated as security, not formatting.

    Use cases

    • Hardening a chatbot's output filters.
    • Reviewing JSON schema checks in an agent pipeline.
    • Pre-release validation audits for compliance.

    Known limitations

    It reviews the rules you provide; it does not run your live model.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Recently published to Agensi

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