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Research & Source Credibility Gate
An adversarial gate that audits a research brief or AI-generated answer for unsupported claims, weak or outdated sources, missing citations, and one-sided framing — returning a structured TRUST/VERIFY/REJECT verdict with the exact passage quoted and what to verify for each.
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See it in action
You say
Audit this research before I rely on it:
"Our analysis shows the global widget market will reach exactly 4.7 billion dollars by 2027, growing at 23 percent annually. Studies confirm widgets are the fastest-growing sector. Everyone agrees this is the best time to invest."
Your agent does
VERDICT: REJECT CONFIDENCE: 12 LOAD-BEARING CLAIMS:
- "market will reach exactly 4.7 billion dollars by 2027" -> unsupported -> find the named report, date, and methodology behind this figure
- "fastest-growing sector" -> unsupported -> identify which study, its scope, and its comparison set WEAKNESSES:
- [claim-support] "growing at 23 percent annually" -> precise figure with no cited source -> trace to a primary market report or remove
- [fabrication-risk] "Studies confirm" -> vague appeal to unnamed studies -> name the specific studies or treat as unverified
- [bias-and-completeness] "Everyone agrees this is the best time to invest" -> one-sided framing with no counterview or risk -> add downside scenarios and conflicts of interest MUST-VERIFY BEFORE ACTING:
- The source and methodology for the 4.7 billion figure and 23 percent growth rate
- Whether any independent source supports the "fastest-growing" claim ONE-LINE SUMMARY: Do not use: the key figures are unsourced and the framing is one-sided.
What you get
About this skill
The Research & Source-Credibility Gate turns your agent into a skeptical reviewer that pressure-tests research before anyone acts on it — and then stops, leaving the verifying and the final call to you.
It runs five fixed passes over a brief, summary, or AI-generated answer: a claim-support check (which load-bearing claims are actually backed by a source versus merely asserted), a source-quality check (primary vs secondary, authoritative vs anonymous, peer-reviewed vs promotional), a recency-and-relevance check (stale sources behind current-data claims, and sources that don't actually say what the claim attributes to them), a bias-and-completeness check (cherry-picking, one-sided framing, omitted caveats and conflicts of interest), and a fabrication-risk check (vague or unverifiable citations, suspiciously perfect quotes, statistics with no traceable origin).
Every run returns a structured verdict: TRUST, VERIFY, or REJECT, plus a 0-100 confidence rating, a breakdown of each load-bearing claim as supported, unsupported, or misattributed, the specific weaknesses with the passage quoted, a must-verify list, and a one-line recommendation. Because it separates load-bearing claims from filler and never invents sources, it focuses your attention on what actually matters for a decision instead of being fooled by confident tone.
Who it's for: anyone who relies on research they didn't personally verify — analysts, consultants, founders, students, journalists, and teams using AI to generate answers and briefs. It is model-agnostic and read-only: it has no network access and cannot browse, open links, or confirm a source exists. It identifies where research is weak and what a human must check. It is a credibility gate, not a fact database or an oracle.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
PubsProToolkit builds rigor-first skills for AI agents — they write your docs and content properly, then adversarially review them to catch what's wrong before it ships. The result: cleaner output and a hard quality gate in one toolkit. Built by a CMPP-certified, PhD medical writer who brings regulated-industry standards to developer docs, content, compliance, and research integrity.
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