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.
Finds genuinely lesser-known, web-verified facts on any topic you choose, always with a cited source. Responds in your language.
Your backtest looks strong. But can you trust the evidence behind it? Check for holdout contamination, time leakage, cost-stress failures, concentration risk, and reproducibility issues — before you rely on the result.
Gives AI agents a structured stop-and-declare protocol for four failure states — low confidence, collapsed premise, exhausted search, and incomplete evidence — so agents label what they don't know instead of fabricating what they can't verify.
日々AIの回答・ニュース・SNSの言説を実務で扱う中で、出典のない数値や「最新」を装った古い情報に何度も振り回された経験から、このSkillを設計しました。主張を安定/不安定に分類し、不安定な情報ほど一次ソースを最優先で確認、重要な主張は独立した複数ソースでクロスチェックする手順を体系化しています。AI生成記事が引用元の主張を実際には支持していないという罠も検出します。
Runs a five-axis consistency check on every turn — verifying character voice, world rules, timeline, dormant lore, and new contradictions — then proactively surfaces unused story elements, so your canon survives from chapter one to the final scene.
在发布前检查 README、论文或报告中的声明是否仍与当前 CSV/JSON 结果一致，输出带证据的 SUPPORTED、STALE 或 UNSUPPORTED 闸门报告。
Activates a mandatory devil's advocate role the moment reviewers reach consensus — forcing one party to produce a specific failure scenario backed by data and a source before any conclusion is finalized, so agreement requires evidence, not just alignment.
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.