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fact checker
Audits drafts for accuracy by verifying numbers, names, quotes, and superlatives against real-world data.
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fact checker
Example session with this skill installed
Fact-check this snippet: "Since our $40M Series B in Jan 2024, we've become the only provider with a 99.99% uptime guarantee, as CTO Sarah Jenkins noted in TechCrunch last month."
- Read your context and instructions
- Compiled the fact checker
I have audited the three claims in your snippet. One claim is factually incorrect, and one is unverifiable based on public records.
Fact-Check Results
| Claim (quoted) | Type | Status | What's actually true | Fix |
|---|---|---|---|---|
| "raised $40M Series B" | number | ✗ wrong | $32M Series B, Jan 2024 | "raised a $32M Series B" |
| "only provider with a 99.99%" | superlative | ? unverifiable | Competitors A and B also claim 99.99% | "a leading provider with a 99.99%" |
| "CTO Sarah Jenkins" | title | ✓ verified | Confirmed via LinkedIn/Company site | — |
| "in TechCrunch last month" | citation | ✓ verified | Article published Feb 12, 2024 | — |
Verdict: 2 claims need your confirmation before this goes out.
Proposed Rewrites:
- Change to: "...since our $32M Series B in Jan 2024..."
- Change to: "...we have established a 99.99% uptime guarantee..." (Removed "only" as it is contested by market competitors).
Riskiest Claim: The "only provider" superlative. Claiming exclusivity is a high-visibility liability that is easily disproven by competitors.
Next steps
- Update the Series B figure to $32M to reflect the SEC filing.
- Soften the exclusivity claim unless you have a specific technical differentiator to cite.
- Confirm if the 99.99% uptime is a contractual guarantee or a target metric.
Connects securely to your tools. The creator never sees your data.
About this skill
Accuracy problems cost you relationships, while style problems only cost you a reader. This skill serves as the final gate for any professional communication, ensuring that every number, name, and citation is verified before it reaches a client or executive. It solves the two biggest risks in AI-assisted writing: confident fabrication by the model and stale facts that have changed since your last update.
The skill meticulously extracts every checkable claim, including numbers, job titles, organization names, quotes, and citations. It even identifies "implied claims" like superlatives and duration statements that writers often overlook. Each claim is categorized by its source and subjected to rigorous verification through web search or internal cross-referencing.
What it does
- Extract claims by identifying every number, name, organization, and quote in your draft.
- Audit superlatives to verify claims like "first," "only," or "fastest" instead of treating them as adjectives.
- Classify sources to separate user-provided data from model-generated text, applying harsher scrutiny to the latter.
- Verify citations to ensure links exist and actually support the claims being made.
- Propose rewrites for any claim found to be incorrect, stale, or unverifiable.
How it works
- Trigger the audit by providing a draft and using a command like "fact-check this" or "check my claims."
- Review the extraction table where the agent lists every quoted claim alongside its type and current status.
- Address the red flags by reviewing the specific replacement lines for every "wrong" or "unverifiable" status.
- Finalize the draft based on the agent's safety verdict and its identification of the single riskiest claim.
Frameworks & tools
This skill works within any Markdown-compatible environment and uses web search tools for real-time verification of public data.
Why this beats prompting it yourself
Generic prompts often miss "implied claims" and superlatives, which are the most common sources of professional embarrassment. This skill enforces a strict classification system that prevents the model from upgrading "plausible" claims to "verified" status without an independent source.
Use cases
- Executive Memos to verify internal metrics and funding figures before a board meeting.
- Sales Outreach to ensure prospect titles and company details are accurate and current.
- Public Relations to audit quotes and superlatives in press releases or launch docs.
- Thought Leadership to verify citations and dates in LinkedIn posts or op-eds.
Known limitations
Cannot verify internal metrics or private data without user-supplied context. Relies on the availability of public sources for external verification.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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