Skill 1
Action authority classifier
Use when a proposed agent action or autonomy expansion needs its side effects, failure cost, data boundary, approval route, and allowable authority level classified before confidence is considered.
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Agent governance workflow library
Confidence calibration review
Review whether confidence signals, baseline outcomes, abstention states, and override logs justify more agent authority.
This is a complete workflow library with 5 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
Confidence signal recorder
Use when model confidence, uncertainty language, reviewer confidence, source quality, or evidence strength must be recorded before a workflow routes work.
Skill 3
Baseline comparison planner
Use when a team needs to compare human-alone, agent-alone, and human-plus-agent results before expanding autonomy or changing review thresholds.
Skill 4
Abstention threshold router
Use when a workflow needs explicit answer, retry, clarify, abstain, escalate, and stop states for confidence-based routing.
Skill 5
Override log reviewer
Use when confidence thresholds, autonomy decisions, or review gates need an override log and recalibration trigger before authority changes.
Security fit check
Is the public Confidence calibration 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.
Autonomy calibrationAI OperationsSecurityPlatform EngineeringWorkflow OwnerRevOps
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.