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iblaiiblai/higher-education-agents/skills/civitas-learning/SKILL.md

civitas-learning

Skill14 starsChanged 5 months agoMITView on GitHub

Civitas Learning analytics platform — lets an agent retrieve student risk scores, graduation probability, course success predictions, and intervention outcome tracking.

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SKILL.md

Civitas Learning

What it is

Civitas Learning is a predictive analytics platform purpose-built for higher education. It ingests SIS, LMS, and financial data to produce student-level risk scores, graduation probability estimates, course success predictions, and schedule optimization recommendations. Academic advisor and retention agents use it to identify at-risk students proactively and measure intervention effectiveness.

When to use this skill

  • Pulling a student's graduation probability score and the top risk factors driving it
  • Identifying the highest-risk student cohorts in a given term for targeted outreach
  • Checking course success probabilities before a student finalizes their schedule
  • Retrieving schedule optimization suggestions based on peer cohort outcomes
  • Benchmarking institution-level retention rates and tracking intervention outcomes over time

Credentials

This skill authenticates using env vars declared in the frontmatter metadata field. Set these in ~/.openclaw/.env (template: .env.example):

  • CIVITAS_BASE_URL - Civitas Learning API base URL provided at onboarding
  • CIVITAS_API_KEY - API key issued by Civitas Learning institutional account

Key operations

  • GET /students/:id/risk — graduation probability score and contributing risk factors
  • GET /students/:id/courseSuccess — per-course success probability for planned schedule
  • GET /cohorts/atRisk — ranked list of at-risk students by program and term
  • GET /interventions/:id/outcomes — measured outcome change for a tracked intervention
  • GET /students/:id/scheduleRecommendations — peer-cohort-informed schedule suggestions

Notes

  • Risk scores are probabilistic; agents must present them as decision-support signals, not deterministic predictions, and always involve human advisors in intervention decisions.
  • Score refresh cadence varies by institution contract (typically daily or weekly); surface the score's as_of_date alongside the value.
  • Civitas data contains derived PII; access is governed by institutional data use agreement and FERPA.
  • The API requires IP-allowlisting in addition to the API key; ensure the agent's egress IP is registered with Civitas.

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