run-adk-evals

run-adk-evals is a skill for Claude Code from Open-Agent-Tools/General-OAT-Skills. It costs 56 tokens per session (494 once invoked), scanned A, original, Apache-2.0.

A workflow for running Google Agent Development Kit evaluations, which are checks that measure whether an AI agent behaves as expected against prepared test cases.

In plain words
What is it for?
Use it to discover evaluation files, run them in sorted order with ADK, check the required environment, and review detailed pass or failure results.
Why use it?
It keeps evaluation runs ordered and produces detailed results, failure summaries, and controlled delays between tests.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the general-oat-skills plugin — 9 skills shipped together

Good fit Use it to discover evaluation files, run them in sorted order with ADK, check the required environment, and review detailed pass or failure results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/open-agent-tools/general-oat-skills/run-adk-evals
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 Open-Agent-Tools/General-OAT-Skills --skill run-adk-evals
Clone the repo
git clone --depth 1 https://github.com/Open-Agent-Tools/General-OAT-Skills

Made for: Claude Code.

Or install general-oat-skills, the plugin that ships this one along with the rest of its 9 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 run-adk-evals

README.md
[![agentmods](https://agentmods.dev/badge/skills/open-agent-tools/general-oat-skills/run-adk-evals/github.svg)](https://agentmods.dev/skills/open-agent-tools/general-oat-skills/run-adk-evals)
Your own site
<a href="https://agentmods.dev/skills/open-agent-tools/general-oat-skills/run-adk-evals"><img src="https://agentmods.dev/badge/skills/open-agent-tools/general-oat-skills/run-adk-evals/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 run-adk-evals

Your own site · 80×15
<a href="https://agentmods.dev/skills/open-agent-tools/general-oat-skills/run-adk-evals"><img src="https://agentmods.dev/badge/skills/open-agent-tools/general-oat-skills/run-adk-evals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 494 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 $0.00056 $0.00494
Opus 5 $0.00028 $0.00247
Sonnet 5 $0.00011 $0.00099
Haiku 4.5 $0.00006 $0.00049

Measured 11d ago against content hash 9e203888d093, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

run-adk-evals 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 11d 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/run-adk-evals/SKILL.md · 57 lines

What it actually says

Run all Google Agent Development Kit (ADK) evaluations in the specified folder in numerical then alphabetical order with detailed results and failure summaries.

Usage: Specify the folder containing the ADK agent and evaluations (e.g., test_agent/)

Example:

/run-adk-evals my_agent/

This will run all evaluations in my_agent/evals/ directory in sorted order.

Prerequisites:

  • Ensure required environment variables are set (e.g., GOOGLE_API_KEY, MCP server URLs)
  • Any required services must be running
  • ADK dependencies installed (pip install -r requirements.txt)

Process:

  1. Validate Environment: Check required environment variables and dependencies
  2. Discover Evaluations: Find all *_test.json files in the evals/ directory
  3. Sort Execution Order: Numerical then alphabetical order (e.g., test_config.json, then alphabetical *_test.json)
  4. Run Each Evaluation: Execute adk eval with --print-detailed-results for each test
  5. Summarize Results: Provide detailed summary of all results and failure reasons

ADK Eval Command Format: For each evaluation, run:

PYTHONPATH=.:$PYTHONPATH adk eval \
  --config_file_path {agent_folder}/evals/test_config.json \
  --print_detailed_results \
  {agent_folder} \
  {agent_folder}/evals/{test_file}.json

Rate Limiting: Add 10-second delays between tests to avoid API limits. Use sequential execution only.

Output Format:

  • Clear section headers with timestamps
  • Individual test results with pass/fail status
  • Detailed failure analysis for any failed evaluations
  • Overall summary with statistics

Error Handling: Rate limiting delays between tests, comprehensive error reporting for troubleshooting.

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. 11d ago First seen · 57 lines · 56 tokens per session scan A 9e203888d093

Subscribe to this mod's changes

run-adk-evals is a skill published in the GitHub repository Open-Agent-Tools/General-OAT-Skills (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 494 once invoked, about $0.0003 per session on Opus 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.

Related

Other skills, from other repositories

dogfood

Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.

callstack/agent-device · 55 tokens

ios-simulator

Verify and debug native, React Native, Expo, or Flutter apps on an iOS Simulator with agent-device. Use when an agent needs to launch an app, inspect its live UI, tap, type, scroll, validate a code change, collect failure evidence, or reproduce a workflow on an iPhone or iPad Simulator.

callstack/agent-device · 69 tokens

solopi-ai

A command-line framework for testing Android apps and devices with SoloPi, including on-device or cloud AI decision models. It manages devices, test cases, recorded interactions, replays, performance history, and evidence.

alipay/SoloPi · 127 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens

performing-api-fuzzing-with-restler

Uses Microsoft RESTler to perform stateful REST API fuzzing by automatically generating and executing test sequences that exercise API endpoints, discover producer-consumer dependencies between requests, and find security and reliability bugs. The tester compiles an OpenAPI specification into a RESTler fuzzing…

xalgorix/xalgorix · 123 tokens

smoke-test

Run smoke tests against a deployed or local app based on your git diff. Each test uses Skyvern browser tools (navigate, act, validate, screenshot) with Chrome DevTools MCP as fallback. Posts screenshot evidence as PR comments.

Skyvern-AI/skyvern · 50 tokens