Addresses the fundamental challenge LLMs face with character-level operations due to tokenization by providing precise tools for counting letters, analyzing character frequencies, spelling words character-by-character, accessing characters by position, and comparing text strings. Includes a curated database of commonly miscounted words like 'strawberry' and 'mississippi' along with visual breakdowns and batch processing capabilities for improved accuracy in tasks requiring exact character-level precision.
Cognium trust score
99%
Tier
Verified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-19.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.