This Skill is built on practical expertise in claim-evidence mapping, source authority labeling, quote verification, citation hygiene, recency checks, and hallucination-risk control. It helps AI agents turn research, reports, summaries, briefs, and marketing drafts into auditable claim ledgers where every important claim is matched to a source, date, quote/paraphrase boundary, and confidence label.
Before you quote, enter five RFQ facts and get a clear QUOTE, CLARIFY, or HOLD decision with the next buyer question. The core check runs locally with no login, upload, or tracking; optional AI follow-up uses your own OpenAI-compatible API Key.
Turns a press release, official announcement, or source article into a publish-ready article while guaranteeing every date, amount, name, and location stays locked to the source — zero fabrication, verified before output.
InvoiceGuard cross-checks every invoice against its purchase order (and receiving report, if you have one) and flags every pricing, quantity, or term discrepancy before you pay — no accounting software integration required.
Hard verification gates that catch the claims that get published content deleted — before you hit publish. Five gates reject historical over-generalization, causal claims about tides/weather without primary data, sources that don't cover the claimed scope, stale time-sensitive facts, and one-sided reassurance. Born from real post-publication deletions on a daily knowledge channel. Works on scripts, articles, newsletters, and social posts.
APA 7th citation formatter with CrossRef DOI validation, preventing LLMs from hallucinating author names on papers they didn't write.
Check AI-generated claims against your approved Fact Sheet and flag changed quantities, expanded scope, dropped attribution, and unsupported mappings — deterministic, local, and no AI guessing.
Refine a pasted research abstract for clear scholarly language while preserving supplied findings, numbers, scope, and uncertainty in a claim-check table.