Eval directory
Evals for Linear
8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Linear AI products.
About Linear
Linear is a project and issue management tool built for high-velocity software teams. It pairs a fast, keyboard-driven UI with a GraphQL API, cycles, projects, and roadmaps, plus deep GitHub and Slack integrations and AI-assisted triage.
How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
8/8 packs
Scoring metrics
0/8 packs
Judge rubrics
8/8 packs
Use-case maps
0/8 packs
Pack context
8/8 packs
Available eval packs for Linear
8 packs ready to run.
Ai Triage
Evaluates Linear's AI Triage & Assistance across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Project & Issue Management eval coverage.
Api Graphql
Evaluates Linear's API & GraphQL Contract across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Project & Issue Management eval coverage.
Automation Rules
Evaluates Linear's Automation Rules across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Project & Issue Management eval coverage.
Cycles Projects Roadmap
Evaluates Linear's Cycles, Projects & Roadmap across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Project & Issue Management eval coverage.
Import Export Data
Evaluates Linear's Import/Export & Data Integrity across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Project & Issue Management eval coverage.
Issue Lifecycle
Evaluates Linear's Issue Lifecycle & State Transitions across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Project & Issue Management eval coverage.
Permissions Workspace
Evaluates Linear's Permissions & Workspace Access across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Project & Issue Management eval coverage.
Webhooks Integrations
Evaluates Linear's Webhooks & Integrations across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Project & Issue Management eval coverage.
Why eval Linear AI
Linear's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for Linear measures four dimensions teams care about most when deploying code assistant agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against Linear's public product surface and runnable in Corsac with your own data.