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.
npx skills add ShiplightAI/agent-skills --skill create-agent-testsgit clone --depth 1 https://github.com/ShiplightAI/agent-skillsWrote 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.
[](https://agentmods.dev/skills/shiplightai/agent-skills/create-agent-tests)<a href="https://agentmods.dev/skills/shiplightai/agent-skills/create-agent-tests"><img src="https://agentmods.dev/badge/skills/shiplightai/agent-skills/create-agent-tests/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.
<a href="https://agentmods.dev/skills/shiplightai/agent-skills/create-agent-tests"><img src="https://agentmods.dev/badge/skills/shiplightai/agent-skills/create-agent-tests.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00070 | $0.01477 |
| Opus 5.5 | $0.00028 | $0.00591 |
| Sonnet 5.5 | $0.00014 | $0.00295 |
| Haiku 4.5 | $0.00007 | $0.00148 |
Grade A, and why
create-agent-tests 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Tests
Producer skill for agent tests: a coding agent executes a Markdown case file against a target environment and returns an auditable report. Verification is the executing agent's judgment plus the evidence it collects (browser, API, DB, logs, cloud, telemetry), rather than fixed deterministic assertions.
This skill authors and runs agent tests. Each case produces an auditable
report — a report path, a final PASS/FAIL/BLOCKED/ABORTED status, and the
collected evidence artifacts — for whatever invoked it to consume.
When To Use Agent Tests
Use agent tests when verification requires flexible, tool-driven judgment across UI, API, database, logs, files, network, or live-environment state, and a deterministic test would be premature, brittle, too expensive, or too narrow.
Especially useful for:
- UI changes needing visual, interactive, browser-console, network, or trace verification.
- API and DB workflows where confidence requires live requests plus persisted state inspection.
- Full-stack flows crossing frontend, backend, storage, jobs, external mocks, and cleanup.
- Exploratory regression checks before converting a stable path into a standard unit, contract, integration, YAML E2E, or other deterministic test.
Agent tests are not a replacement for deterministic tests. Prefer converting high-value stable agent flows into a standard deterministic test (unit, contract, integration, YAML E2E, or other) once the path stabilizes.
Project Layout
Agent tests live under tests/agent/ in the target repo:
tests/agent/agent-test-suites.json suite manifest (project-owned)
tests/agent/<feature>/<case>.md case files, one logical journey each
tests/agent/run-agent-verification.ts runner/orchestrator
agent-test-reports/ generated reports; do not hand-edit
The repo owns its real agent-test-suites.json, case files, fixture setup,
auth/session bootstrap, CI wiring, engine secrets and MCP config,
staging/production mutation policies, and cleanup ownership.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 153 lines · 70 tokens per session scan A 28d73346aa3b
create-agent-tests is a skill published in the GitHub repository ShiplightAI/agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 70 tokens to every session and 1,477 once invoked, about $0.0003 per session on Opus 5.5. 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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