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Ai Answer Verification Brief

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
36
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当前安装
1
版本数
在 OpenClaw 中安装
/install ai-answer-verification-brief
功能描述
Turns an important AI-generated answer into a claim ledger, source-check plan, contradiction scan, confidence rating, and concise verification brief.
使用说明 (SKILL.md)

AI Answer Verification Brief

Overview

Use this skill to help a user verify an AI-generated answer before they rely on it. The skill breaks the answer into checkable claims, separates facts from interpretations, identifies what needs outside confirmation, and produces a short verification brief with confidence levels and unresolved questions.

The goal is not to prove that an answer is right. The goal is to make reliance safer by showing what was checked, what remains uncertain, and what should be verified with authoritative sources.

When to Use

Use this skill when the user asks to:

  • verify an AI answer
  • fact-check a model response
  • check for hallucinations
  • review sources behind an answer
  • decide whether an AI-generated summary is reliable
  • prepare a verification note before using AI output in work, school, research, or a public document

Trigger keywords: AI answer verification, fact check AI, hallucination check, source check, claim ledger, verify this response, is this AI answer reliable, confidence brief

Required Inputs

Ask for only what is needed:

  • The AI answer or excerpt to verify
  • The user's intended use for the answer
  • Any sources already supplied with the answer
  • The level of risk if the answer is wrong: low, medium, or high
  • Any required source standard, such as official documentation, peer-reviewed research, company records, or recent news

Do not ask for private credentials, hidden documents, or personal data that is not necessary for verification.

Workflow

  1. Frame the reliance risk. Identify how the user plans to use the answer and classify the consequence of error as low, medium, or high.
  2. Extract a claim ledger. Split the answer into atomic claims. Label each claim as factual, numerical, causal, quoted, legal/medical/financial, interpretive, or recommendation-based.
  3. Prioritize what to check. Rank claims by risk, novelty, specificity, and likelihood of hallucination. High-risk claims must be verified first.
  4. Define source standards. For each priority claim, name the kind of source that would count as acceptable evidence. Prefer primary, official, or current sources where relevant.
  5. Run a contradiction scan. Look for internal inconsistencies, unsupported leaps, outdated facts, suspiciously precise details, missing dates, and claims that depend on jurisdiction or context.
  6. Build the verification brief. Summarize checked claims, uncertain claims, source gaps, recommended follow-up searches, and a confidence rating.
  7. Give a reliance recommendation. State whether the answer is ready to use as-is, usable with caveats, needs more verification, or should not be relied on.

Output Format

Produce a concise brief with these sections:

  1. Reliance Context
    • Intended use
    • Risk level
    • Verification standard
  2. Claim Ledger
    • Claim
    • Claim type
    • Risk level
    • Evidence needed
    • Status: verified, likely, uncertain, contradicted, or not checked
  3. Red Flags
    • Missing citations
    • Outdated or jurisdiction-sensitive claims
    • Overconfident wording
    • Unsupported numbers, names, quotes, or dates
  4. Source-Check Plan
    • Best sources to consult
    • Search phrases to use
    • Claims that need primary-source confirmation
  5. Verification Brief
    • What looks reliable
    • What remains uncertain
    • What should be changed before use
  6. Confidence Rating
    • High, medium, low, or do not rely
    • One-sentence rationale

Safety & Compliance

Explicit Boundaries

  • No professional certification. This skill does not certify truth, accuracy, safety, compliance, or suitability for any use.
  • No substitute for expert review. Legal, medical, financial, safety-critical, academic integrity, and regulatory claims require qualified or authoritative review.
  • No fabricated citations. Never invent sources, quotes, page numbers, links, authors, statistics, or publication dates.
  • No overclaiming. If a claim has not been checked against an acceptable source, mark it as not checked or uncertain.
  • No credential collection. Do not ask for passwords, API keys, private account access, or confidential data unless the user independently provides non-sensitive excerpts.
  • No hidden browsing claim. If no live search or source review occurred, say so clearly.

Additional Safety Notes

  • Treat model-generated text as unverified until checked.
  • Prefer source categories over specific citations when sources have not actually been reviewed.
  • For fast-moving topics, require date-aware verification.
  • For jurisdiction-dependent topics, require location or jurisdiction before making a confidence statement.

Acceptance Criteria

  1. Extracts a claim ledger from the AI answer.
  2. Separates factual claims, interpretations, and recommendations.
  3. Prioritizes high-risk and highly specific claims for verification.
  4. Names acceptable source types without fabricating citations.
  5. Includes a contradiction and red-flag scan.
  6. Provides a confidence rating with caveats.
  7. Clearly states whether live source checking was performed.
  8. Avoids legal, medical, financial, or safety-critical advice beyond verification framing.
  9. Never asks for credentials or sensitive account access.

Example

User says: "Can you check whether this AI answer about a new tax rule is reliable?"

Skill response: Build a claim ledger, flag jurisdiction and date dependence, require official tax authority or qualified professional confirmation, mark unchecked claims as uncertain, and produce a verification brief that warns against relying on the answer without expert or official review.

安全使用建议
This skill appears safe to install as a prompt-only aid for checking AI-generated answers. Users should still avoid pasting unnecessary private or confidential material into any AI workflow and should rely on qualified experts for legal, medical, financial, safety-critical, or regulatory decisions.
功能分析
Type: OpenClaw Skill Name: ai-answer-verification-brief Version: 1.0.0 The skill is a prompt-based workflow designed to help users verify AI-generated content by creating claim ledgers and identifying risks. It contains no executable code (as confirmed in skill.json) and includes explicit safety boundaries in SKILL.md against collecting credentials, fabricating citations, or providing professional advice. The logic is entirely analytical and lacks any indicators of malicious intent, data exfiltration, or unauthorized system access.
能力评估
Purpose & Capability
The skill’s stated purpose is to turn an AI answer into a claim ledger, source-check plan, contradiction scan, confidence rating, and verification brief; the provided instructions align with that purpose.
Instruction Scope
The workflow is bounded to reviewing user-provided AI-generated text, identifying claims, flagging uncertainty, and recommending appropriate source standards without claiming unperformed verification.
Install Mechanism
There is no install spec and no executable code; skill.json declares hasExecutableCode false, matching the manifest and acceptance criteria.
Credentials
The skill declares no required binaries, environment variables, credentials, config paths, network components, or capability tags.
Persistence & Privilege
The artifacts show no persistence, background execution, privilege escalation, credential use, or long-running autonomous behavior.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ai-answer-verification-brief
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-answer-verification-brief 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
AI Answer Verification Brief skill v1.0.0 - Initial release of the AI Answer Verification Brief skill. - Breaks AI-generated answers into a structured claim ledger and labels claims by type and risk. - Guides users through risk assessment, claim extraction, red-flag identification, and verification planning. - Outputs a concise verification brief with confidence ratings and reliance recommendations. - Explicitly avoids fabricating sources, giving professional certification, or collecting sensitive information.
元数据
Slug ai-answer-verification-brief
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ai Answer Verification Brief 是什么?

Turns an important AI-generated answer into a claim ledger, source-check plan, contradiction scan, confidence rating, and concise verification brief. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 36 次。

如何安装 Ai Answer Verification Brief?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-answer-verification-brief」即可一键安装,无需额外配置。

Ai Answer Verification Brief 是免费的吗?

是的,Ai Answer Verification Brief 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ai Answer Verification Brief 支持哪些平台?

Ai Answer Verification Brief 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ai Answer Verification Brief?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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