Explore in MochiBot. Install in chat.Hosted workspaces and MochiBot lightweight setups include the Skills assistant. Choose a Skill and ask for installation in chat. Other OpenClaw setups can follow the first-install guide.
How to use Skills →
MOCHILAB / AI SKILL
Degree Requirement Crosscheck
Evaluate explicitly supplied all-of/any-of/course-count/credit/minimum-grade requirement groups and user-approved course mappings.
Tell your assistant what you want to check and provide the actual relevant materials. It prepares the structured records and asks for facts that affect the result.
Compare my transcript, admission-year requirements and degree audit; list the discrepancies to ask my advisor.
A course may satisfy two labels, but do not count its earned credits twice; keep unapproved substitutions unknown.
You receive a readable report, detailed records and a preserved input snapshot. Evaluate explicitly supplied all-of/any-of/course-count/credit/minimum-grade requirement groups and user-approved course mappings. Track earned credits by distinct course attempt under declared repeat rules separately from requirement satisfaction. Apply double-count restrictions only when supplied; keep transfer equivalence and exceptions unverified until confirmed.
Not institutional graduation clearance or course registration advice. No inferred equivalence or policy from school names or course titles. Unknown approved substitutions cannot become satisfied requirements. Constraint-search limits must return unknown, never a fabricated no-solution result.
Runs locally with Python 3.10+ standard library; no paid data key or MochiLab backend account is required. Optional extraction and explanation use your current agent model under its existing service terms. No automatic messages, applications, account changes or notifications.