从文本或文档中抽取可证伪的声明,并基于实时网络证据进行事实核查。
编程
Fact-Checking Explainers
试用Use to fact-check an explainer against its sources before delivery. Trigger on "fact-check this explainer", "verify the claims", "check this against its sour...
它能做什么
Use to fact-check an explainer against its sources before delivery. Trigger on "fact-check this explainer", "verify the claims", "check this against its sour...
技能文档
Fact-Checking Explainers
Overview
An explainer's authority comes from being right. A reader who catches one confident, wrong claim stops trusting the rest of the piece, figures and all. This skill makes claim verification enforceable by tying every checkable claim to evidence you can point to, correcting it, or cutting it. It is not a proofreading pass and not advisory: it is the gate an explainer passes before it is delivered.
The Iron Law
NO EXPLAINER SHIPS WITH AN UNVERIFIED FACTUAL CLAIM.
Every checkable claim either traces to a source that supports it, gets corrected to match the source, or gets cut.
Apply the same resolution loop to every factual claim:
- Support it with an actual source passage you can point to.
- Correct it until it matches the source.
- Cut it when no source supports it.
Treat memory, plausibility, background knowledge, and deadline pressure as signals to run the loop, not reasons to skip it. "Verify" means checking an actual source in this session.
When to Use
Run this skill:
- At research-time, over the sources gathered for an explainer, before any drafting.
- Post-draft, over the finished article, before delivery. This is a blocking gate.
- On request, whenever asked to fact-check, verify, or audit an explainer or article.
creating-explainers and explaining-codebases both call this skill at the gates above. When they do, interactive explainer delivery waits for a PASS report.
When NOT to use: content that is not an explainer, or a pure opinion or editorial piece that makes no factual claims. (Most explainers make many factual claims. Default to running it.)
What Counts as a Checkable Claim
A checkable claim is a specific factual or empirical assertion:
- numbers, dates, measurements, percentages
- names, attributions, who-did-what, who-built-what
- direct quotes
- historical events and their order
- performance results and benchmarks
- mechanism claims: "X uses Y", "X causes Y", "X is faster than Y because Z"
Not checkable (do not flag these as factual claims):
- clearly-labeled interpretation or opinion ("the most elegant part is...")
- analogies and illustrative scenarios the reader knows are illustrative
- the author's framing and transitions
Heuristic: if you are unsure whether something is a checkable claim, treat it as one and verify it. The cost of over-checking is small; the cost of a wrong claim shipping is the whole article's credibility.
The Verification Process
- Extract every checkable claim, with its location in the article (section, figure caption, or
file:linefor code). - Find the support. For each claim, locate the passage in the cited source that backs it, and read that passage. For codebase explainers, open the actual code at the exact path and line. Do not treat the existence of a citation as support; a cited source often does not say what the draft claims.
- Assign a verdict (table below).
- Resolve everything that is not
supported.
| Verdict | Meaning | Allowed at delivery? |
|---|---|---|
| supported | A source passage directly backs the claim | Yes |
| needs-source | Plausible but no citation yet | No - add a source or downgrade |
| unsupported | No source backs it | No - source it, soften, or cut |
| contradicted | A source says otherwise | No - correct it or cut it |
The Two Gates
Research-time gate (inside creating-explainers research intake). Before drafting, go through the gathered sources and confirm each one exists and actually supports the points it will be used for. Fabricated, misremembered, or misread sources are cheapest to catch here, before they are baked into prose.
Post-draft gate (every explainer, before delivery). Audit every checkable claim in the finished article against its cited source. For codebase explainers, the source of truth is the real code. Every "this function does X", every quoted snippet, every architecture claim is checked against the actual implementation at a specific path and line. Code drifts; a snippet that was right yesterday may be wrong today.
Resolution
At delivery, every checkable claim must be supported. Resolve each other verdict with the same loop:
- Add support from a source passage (turns
needs-sourceintosupported). - Correct the claim to match what the source actually says.
- Soften to clearly-labeled interpretation, if the statement is genuinely interpretive rather than factual.
- Cut it.
An unresolved needs-source, unsupported, or contradicted claim keeps the report at FAIL. Caveats do not make unsupported factual claims deliverable.
The Report
Produce a claim-by-claim report plus an overall PASS/FAIL verdict. The exact format is in references/verification-report-format.md. The verdict is FAIL until every checkable claim is supported.
When invoked as a gate by another skill, return the report inline and hold delivery until PASS. When invoked directly by a user, present the report and offer to apply the fixes.
Rationalization Table
| Excuse | Reality |
|---|---|
| "I wrote it, so I know it's right" | You know what you intended. Verify what you actually wrote. |
| "It's a well-known fact" | Well-known facts are wrong often enough to check. It takes 30 seconds. |
| "The source probably says this" | Probably is not a verdict. Open the source and confirm. |
| "Close enough" | Numbers, dates, and names are exact or they are wrong. |
| "It's only one claim" | One confident wrong claim discredits the whole explainer. |
| "I'll flag it and let the reader decide" | The gate is your job, not the reader's. |
Red Flags
These thoughts mean stop and verify before the claim goes in:
- "I'm fairly sure that..."
- "If I recall correctly..."
- "roughly..." / "about..." / "something like..." attached to a specific number
- "it's basically the same as..."
- pasting a statistic without re-opening the source it came from
- citing a URL you have not actually opened in this session
Common Mistakes
| Mistake | Fix |
|---|---|
| Verifying that the citation exists, not that it supports the claim | Read the cited passage. A real source can still fail to back the claim. |
| Checking the easy claims, waving through the hard ones | The hard-to-verify claims are exactly where errors hide. |
| For code: trusting a comment, a function name, or a variable name | Read the implementation. Names and comments can lie; the code does not. |
Treating needs-source as shippable | needs-source is a to-do, not a pass. Resolve it. |
| Stopping at the first source that agrees | If sources disagree, that disagreement belongs in the article, not buried. |
相关技能
Check factual claims in drafts before publication, delivery, or decisions.
事实核查助手免费版,面向个人用户提供基础的事实核查能力。通过对接全球专业事实核查机构,对用户提供的声明进行多源交叉验证。Use when 需要AI模型调用、智能对话、Agent编排、LLM应用时使用。不适用于需要100%确定性的关键决策。Use when 需要AI模型调用、智能对话、Agent编排、LLM应用时使用。不适用于需要100%确定性的关键决策.
Autonomous verification engine that deconstructs claims, evaluates source credibility, and identifies contradictions.
The research-and-sourcing craft — verify the substance of a piece before it publishes: trace stats to primary sources, kill zombie stats, catch AI-hallucinated citations, and attribute properly on social. Use when someone has a stat-heavy draft to make publish-ready, wants to check if a viral statistic is real, asks how to cite sources, used AI research output, or is making health/finance claims. Uses the FACTS framework. Reads brand-profile + the piece's format skill first. AI-supplied citations are guilty until verified; a working link is not verification; aggregators are leads, not the source; where none exists, reframe as owned observation or commission data. The agent verifies where it has search; the human clicks links where it doesn't; verification happens before scheduling; WoopSocial publishes. Never invents studies or reuses retracted stats. Distinct from idea-generation, data-and-original-research, quote-cards, and infographic-and-data-viz.
嚴謹多來源資訊查核與可信度判定技能。用於「查證/核實/核實這個/是真的嗎/是否正確」類請求,整合政府、官方、主流媒體、事實查核站、X(Twitter)、Reddit 等來源,採用內部 100 分制規則化評分(不對使用者公開分數),並強制 Tavily 優先與明確 fallback 規則。