cige-test-authoring

cige-test-authoring is a skill for Claude Code from vivekkrishna/agentic-validation-skills. It costs 0 tokens per session (3,007 once invoked), scanned A, original, Apache-2.0.

A method for writing tests for AI agents using CIGE, a structured format that keeps the intended behavior separate from the steps used to test it.

In plain words
What is it for?
Use it to create, review, or refactor agent test cases with context, preconditions, expected intent, execution steps, and guardrails.
Why use it?
It reduces brittle tests and gives them guardrails so execution can adapt while the expected result remains stable. Completed runs are handled by a separate classification step.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-validation-skills plugin — 5 skills shipped together

Good fit Use it to create, review, or refactor agent test cases with context, preconditions, expected intent, execution steps, and guardrails.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vivekkrishna/agentic-validation-skills/cige-test-authoring
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add vivekkrishna/agentic-validation-skills --skill cige-test-authoring
Clone the repo
git clone --depth 1 https://github.com/vivekkrishna/agentic-validation-skills

Made for: Claude Code.

Or install agentic-validation-skills, the plugin that ships this one along with the rest of its 5 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cige-test-authoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/vivekkrishna/agentic-validation-skills/cige-test-authoring/github.svg)](https://agentmods.dev/skills/vivekkrishna/agentic-validation-skills/cige-test-authoring)
Your own site
<a href="https://agentmods.dev/skills/vivekkrishna/agentic-validation-skills/cige-test-authoring"><img src="https://agentmods.dev/badge/skills/vivekkrishna/agentic-validation-skills/cige-test-authoring/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cige-test-authoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivekkrishna/agentic-validation-skills/cige-test-authoring"><img src="https://agentmods.dev/badge/skills/vivekkrishna/agentic-validation-skills/cige-test-authoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,007 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.03007
Opus 5 $0.00000 $0.01503
Sonnet 5 $0.00000 $0.00601
Haiku 4.5 $0.00000 $0.00301

Measured 9d ago against content hash fe1c9d90e749, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

cige-test-authoring scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/cige-test-authoring/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CIGE: Agentic Test Case Authoring

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.

When to invoke

  • Authoring a new agentic test case from scratch
  • Reviewing an existing test for brittleness or missing structure
  • Designing test guardrails for a new agent workflow

For a completed run — pass or fail — do not decide repairs here. Invoke cige-failure-classification first; it classifies the outcome and names which skill (if any) should act.


The CIGE Format

Every agentic test case must be expressed in this structure:

{
  "Context": {
    "system": "<app or service under test, version if relevant>",
    "environment": "<staging | dev | ephemeral | ...>",
    "tools": ["<tool 1>", "<tool 2>"],
    "preconditions": ["<seed data>", "<auth state>", "<feature flags>"],
    "specRef": "<path or URL to the BRD / product spec that defines expected behavior>",
    "buildRef": "<pointer to the build/version under test and its release documentation — changelog, release notes, or build manifest>"
  },
  "Intent": "<single outcome-based objective — what success looks like>",
  "Guardrails": [
    "<constraint the agent must never violate>",
    "<scope boundary or irreversibility limit>"
  ],
  "Execution": [
    "<adaptive step 1 — guidance, not script>",
    "<adaptive step 2>",
    "<verification: confirm intent was achieved>"
  ]
}

specRef is required. It is the ground truth that self-healing agents use to distinguish a product defect from an intentional product change. Without it, failure classification cannot be completed.

buildRef is required for the same reason: specRef alone can tell you what the product should do, but not whether the build under test actually contains that behavior yet. Without buildRef, a product-defect classification can't safely conclude "intentional change" — see cige-product-defect-escalation.

Read the full file on GitHub · 223 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 223 lines · 0 tokens per session scan A fe1c9d90e749

Subscribe to this mod's changes

cige-test-authoring is a skill published in the GitHub repository vivekkrishna/agentic-validation-skills (1 stars, last pushed 17d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 3,007 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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