No Inference / Source-Locked Verification

Forces Claude to answer only from your materials and verified online sources — no inference, no assumptions, no gap-filling. Every claim must be anchored to a cited source.

This skill locks Claude into a strict evidential-fidelity mode. It prevents Claude from inferring, assuming, estimating, or filling gaps with plausible-sounding information. Instead, Claude must answer exclusively from the materials you provide and/or online sources it has actually accessed. Every factual, legal, numerical, or procedural claim must be tied to a pinpoint source reference.

Statements are categorised into five tiers (expressly stated in materials, expressly stated in verified online source, supported but not expressly stated, not found, or possible inference) so you can instantly assess their evidential weight. The skill enforces a source hierarchy prioritising primary and official sources, prohibits invented citations and false confidence language, requires appellate history checks for case law, and runs a 12-point self-check before every answer. If something isn’t in the evidence, Claude says “not found” rather than guessing.

Install the .skill file, then work as normal. The skill activates automatically when you ask Claude to review documents, extract facts, draft submissions, check citations, create timelines, verify claims, perform legal research, or do anything where evidential accuracy matters. You can also trigger it explicitly by saying things like “stick to the evidence”, “don’t assume”, “only from the materials”, or “source-locked”. Claude will respond using a structured format: a concise answer, a source basis table showing where each point comes from, a list of sources checked, and a list of anything it couldn’t find. If you want Claude to offer inferences or hypotheses, ask for them expressly — they’ll be clearly labelled as provisional.

Author

Larissa Meredith-Flister is a qualified solicitor in England & Wales (2024) and Canada (2021), with an LLM in European Law from the University of Cambridge (First Class – top 10%) and a strong economics background. My work sits at the intersection of UK competition litigation, data privacy, and AI.

I work across the full lifecycle of complex litigation, from early-stage case development and funding strategy to procedural applications, disclosure, and settlement, including in collective proceedings before both the High Court and the Competition Appeal Tribunal. Alongside my litigation practice, I am especially interested in practical AI and legal workflows: how lawyers can use these tools in ways that improve efficiency without compromising accuracy, trust, or professional judgment. I build and think about systems for people who care not just whether an output is fast, but whether it is reliable, verifiable, and safe to use in high-stakes work.

My broader experience spans legal practice, public policy, and academia across five jurisdictions: England, the Netherlands, Canada, the United States, and Brazil. I have advised on complex legal and policy issues in collaboration with national and international stakeholders, and bring strong project and change-management skills (PMP; Prosci Change Practitioner).

I’m a polyglot - I’m fully bilingual in English and Portuguese, fluent in Spanish and French, and have basic knowledge of German and Italian.