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contradiction-detector矛盾检测器

Agent Skill

contradiction-detector 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,920

周安装

205

GitHub Stars

2

下载量

1,640
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:contradiction-detector(矛盾检测器)
来源仓库:https://github.com/korengast/contradiction-detector
安装命令:
openclaw skills install contradiction-detector
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install contradiction-detector

简介

contradiction-detector 检测 Agent 指令文件间的矛盾以避免幻觉行为。

  • 适用于多代理协作或复杂任务分解时的逻辑一致性检查。
  • 当出现 incongruent behavior 时自动触发修正。
  • 使用前需确保配置文件可读且无加密。
  • 建议定期运行以维持系统稳定性。contradiction-detector 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
contradiction-detector
description
Detects and eliminates contradictions between agent instruction files that cause hallucinations and silent misbehavior. Use when: (1) any agent behaves inconsistently despite correct-looking instructions, (2) a sub-agent format/behavior was fixed in one file but the behavior didn't change, (3) a new agent, cron job, or instruction file was added, (4) running a periodic consistency sweep. Scans AGENTS.md, SOUL.md, HEARTBEAT.md, MEMORY.md, cron job payloads, and skill files for any agent — then cross-references them for contradictions.
metadata

Contradiction Detector

Contradictions between agent instruction files are the #1 cause of silent misbehavior in multi-agent OpenClaw setups. Files are loaded non-deterministically across sessions — the only fix is making all files agree.

Prerequisites

  • openclaw CLI — listing agents and cron jobs
  • python3 — parsing JSON config
  • find, cat — standard POSIX utilities
  • Filesystem access to the OpenClaw workspace directory

Audit Procedure

Step 1 — Discovery

Enumerate every instruction source: all agents, their workspace files (AGENTS.md, SOUL.md, HEARTBEAT.md, MEMORY.md, IDENTITY.md, USER.md), all cron jobs with inline prompts, all installed skills, and any hook scripts.

→ Detailed procedure: references/discovery.md

Build a complete inventory per agent before proceeding. Missing even one source means contradictions slip through.

Step 2 — Cross-reference for contradictions

Systematically check every pair of instruction sources per agent against 12 known contradiction patterns:

#PatternRiskMost common trigger
1Format duplicationHIGHSame output format defined in 2+ files independently
2Cron prompt overrideHIGHCron contains stale instructions; HEARTBEAT.md fix is invisible
3Routing mismatchHIGHDifferent session/channel targets for same output
4Persona/tone conflictMEDSOUL.md vs AGENTS.md communication style
5Trigger/schedule mismatchMEDCron frequency vs HEARTBEAT.md timing
6Memory routing conflictMEDSame data type sent to different memory locations
7Dead/orphaned rulesMEDOld rule not removed after newer rule added elsewhere
8Cross-agent assumption mismatchMEDSender expects X, receiver does Y
9Implicit vs explicit behaviorLOW-MEDGap filled differently by different files
10Skill-agent conflictLOW-MEDSkill instructions override agent rules when triggered
11Stale MEMORY.md directivesLOW"From now on" in MEMORY.md contradicts current AGENTS.md
12Environment/config driftLOWHardcoded paths, model names, or URLs that changed

→ Full detection procedures and examples: references/contradiction-patterns.md

Step 3 — Report and fix

Produce a structured finding for each contradiction (agent, severity, pattern, evidence with exact quotes, impact, proposed fix). Present all fixes as diffs and wait for user confirmation before applying.

→ Report format, severity guidelines, and fix protocol: references/reporting-and-fixes.md

Post-fix verification

After every fix: re-read both files, verify agreement, and confirm no new contradictions were introduced.

Scheduling (optional)

This skill works as a manual on-demand invocation. Optionally add to HEARTBEAT.md or a cron job for periodic runs.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.87%
按下载量换算1,572

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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