Skill 1
Testing AI Workflow Changes
Use when a prompt, model, tool, retrieval source, memory path, approval rule, or reusable skill is being introduced or changed.
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Workflow evals workflow library
AI workflow eval and lifecycle review
Write negative evals, test prompt-injection exposure, replay regressions, review skill lifecycle decisions, and govern self-review writebacks.
This is a complete workflow library with 2 individual skills. Download the full library or pick the specific skill folder your team needs first.
Individual skills in this library
Use one skill at a time, or keep the full workflow together.
Some AI tools expect one skill folder per upload. Download the full library when you want the whole workflow, or download an individual skill when you only need one job done.
Skill 2
Governing Workflow Writebacks
Use when failure logs, repeated exceptions, agent self-review, or usage evidence proposes changing a skill, memory item, automation rule, approval path, or workflow lifecycle state.
Security fit check
Is the public AI workflow eval and lifecycle review library enough, or does this need deeper review?
Use the public library when the workflow is low-risk, the inputs are already sanitized, and a team member can review the output before it reaches a buyer or customer.
Do deeper review when this workflow touches real tools, data sources, role ownership, approval paths, or customer-facing output.
Eval lifecycleAI OperationsEnablementWorkflow Owner
Good deeper-review trigger signals
- The workflow touches customer, prospect, CRM, proposal, security, pricing, or campaign data.
- Different teams disagree on the approved source of truth.
- The AI output could become customer-facing, revenue-impacting, or compliance-sensitive.
- You need reusable eval checks before asking more people to use the workflow.