vivekkrishna/agentic-validation-skills
Plugin Claude Code
Agentic test automation guidelines based on the CIGE standard (Context, Intent, Guardrails, Execution) for authoring self-healing, goal-driven AI test cases.
vivekkrishna/agentic-validation-skills
Plugin Claude Code
Agentic test automation guidelines based on the CIGE standard (Context, Intent, Guardrails, Execution) for authoring self-healing, goal-driven AI test cases.
vivekkrishna/agentic-validation-skills
Instructions file
Claude Code instructions for vivekkrishna/agentic-validation-skills, covering agentic test automation guidelines (cige), 1. establish context before testing, 2. anchor every test to intent, 3. define guardrails before executing and 4. treat execution as adaptive guidance.
vivekkrishna/agentic-validation-skills
Skill Claude CodeCodex
Invoked by cige-failure-classification when a run is classified as an Infrastructure Failure. Restores the environment; never touches the test definition.
vivekkrishna/agentic-validation-skills
Skill Claude CodeCodex
Use this skill immediately after any CIGE test run completes — pass or fail — and before any repair action is taken. It classifies the outcome and names which skill, if any, is allowed to act on it. Classification is not optional and not skippable: no agent may repair a test it has not been dispatched to.
vivekkrishna/agentic-validation-skills
Skill Claude CodeCodex
Invoked by cige-failure-classification when a run is classified as a Product Defect: execution reached the system under test, the environment is healthy, execution steps are current — but the outcome does not match Intent.
vivekkrishna/agentic-validation-skills
Skill Claude CodeCodex
Invoked by cige-failure-classification in two situations: Outdated Test Logic (Mode A — repair Execution[]) and a confirmed False Positive (Mode B — strengthen Guardrails). These are different repairs with different targets; do not conflate them.
vivekkrishna/agentic-validation-skills
Skill Claude CodeCodex
Use this skill when writing, reviewing, or refactoring AI agent test cases. It enforces the CIGE standard — a structured format that separates stable test intent from adaptive execution, enabling self-healing agentic tests.