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Why this exists: a text with factual errors costs readers money, filings or a trip. This stage checks every claim cheaply and in parallel against primary sources and returns a corrected text. If the user also runs a final review with a stronger model (for example GPT Pro, which is slow), the dossier from step 6 lets that review converge in one round. That final review is optional.
FactCheck is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 53/100. # FactCheck Why this exists: a text with factual errors costs readers money, filings or a trip. This stage checks every claim cheaply and in parallel against pr. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding FactCheck to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install tony8stark/thinktankReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# FactCheck Why this exists: a text with factual errors costs readers money, filings or a trip. This stage checks every claim cheaply and in parallel against primary sources and re