harbor: Skill for Claude Code

.agents/skills/agent-integration-testing/SKILL.md

agent-integration-testing is a skill for Claude Code, Codex from av/harbor. It costs 20 tokens per session (800 once invoked), scanned A, original, Apache-2.0.

A workflow for creating and running integration tests, which check that multiple parts of a feature work together. It investigates the codebase, writes plain-language test specifications, and executes verifiable checks.

In plain words
What is it for?
Use it to test complete feature flows, document prerequisites, reproduce failures, and verify results through commands, requests, or output files.
Why use it?
It turns a broad request to validate a feature into repeatable tests with clear setup, reproduction steps, and observable expectations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

This is av/harbor's own configuration. It tells Claude Code and Codex how to work on harbor itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything harbor configures →

About the project

av/harbor is a command-line tool and companion app that uses Docker Compose to start a connected local stack of language-model backends, user interfaces, and supporting AI services. People use it to run services such as Ollama, llama.cpp, vLLM, Open WebUI, search, voice, and image-generation tools without configuring their connections manually, while the catalogue provides agent workflows for operating Harbor.

av/harbor · 3,263 stars · on GitHub · discord.gg

Reuse

Borrowing it

Nothing to install: this file belongs to av/harbor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/av/harbor/main/.agents/skills/agent-integration-testing/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/av/harbor

Made for: Claude Code, Codex.

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 agent-integration-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/av/harbor/agent-integration-testing/github.svg)](https://agentmods.dev/skills/av/harbor/agent-integration-testing)
Your own site
<a href="https://agentmods.dev/skills/av/harbor/agent-integration-testing"><img src="https://agentmods.dev/badge/skills/av/harbor/agent-integration-testing/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 agent-integration-testing

Your own site · 80×15
<a href="https://agentmods.dev/skills/av/harbor/agent-integration-testing"><img src="https://agentmods.dev/badge/skills/av/harbor/agent-integration-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 800 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00020 $0.00800
Opus 5.5 $0.00008 $0.00320
Sonnet 5.5 $0.00004 $0.00160
Haiku 4.5 $0.00002 $0.00080

Measured 2mo ago against content hash 449d97875c6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-integration-testing 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/agent-integration-testing/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Integration Testing

Overview

This skill guides the creation and autonomous execution of verifiable integration test specifications. It ensures that tests are actionable by agents, properly documented, and systematically executed by subagents to validate features or fix failures.

Core Process

  1. Investigate Codebase Area

    • By default, investigate the entire codebase to understand the context.
    • If the user specifies a feature area, use glob and grep to narrow the investigation.
  2. Write Test Specification

    • Create a test spec file at ./tests/<name>.md.
    • Use <name> = "integration" unless the user specifies a particular feature area.
    • The document MUST include a Prerequisites section at the top detailing any setup needed before tests become runnable (e.g., environment variables, database seeding, background services).
  3. Define Verifiable Tests

    • Each test must be written in plain English.
    • Include clear steps to reproduce.
    • Include a set of expectations.
    • CRITICAL: Every expectation must be strictly verifiable by an agent using available tools (e.g., shell commands, HTTP requests, reading file outputs). If a test cannot be verified by an agent, it is invalid and must be rewritten or removed.
  4. Execute Tests via Subagents

    • Spawn subagents (using the Task tool or @mention subagent system) to run each individual test.
    • The subagent must follow the prerequisites, execute the steps, and validate the outcomes against the expectations.
    • Collect the results (Pass/Fail and logs) from the subagents.
  5. Fix Failures (Optional)

    • If the user explicitly specifies that failures should be fixed, spawn another subagent (e.g., the SWE or BUILDER agent) to investigate and fix any noted failures.

Quick Reference

Action Pattern / Command
Test File Location ./tests/<name>.md (default: integration.md)
Prerequisites Must be documented at the top of the test file
Test Format Plain English, Repro Steps, Verifiable Expectations
Execution Spawn one subagent per test or test suite
Fixing Spawn SWE/BUILDER subagent if requested by user

Read the full file on GitHub · 70 lines

Files

What ships with it

1 file 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.

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. 2mo ago First seen · 70 lines · 20 tokens per session scan A 449d97875c6f

Subscribe to this mod's changes

agent-integration-testing is a skill published in the GitHub repository av/harbor (3,263 stars, last pushed 6d ago), licensed Apache-2.0. It adds 20 tokens to every session and 800 once invoked, about $0.0001 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 2026-08-30.

Related

agent-integration-testing compared with skills from other repositories

agent-integration-testing next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
agent-integration-testingav/harborSkill3.3k6d agoApache-2.0A20Claude Code, Codex
hugging-face-tool-buildersynthetic-sciences/openscienceSkill4.3k2d agoApache-2.0A67Claude Code, Codex
agent-builderchandrudp29/skillhubSkill144mo agoMITA42Claude Code, Codex
synapsedinglebear-ai/synapseSkill24d agoAGPL-3.0A67Claude Code
docker-essentialsasgarovf/locusaiSkill238mo agoMITA35Claude Code
docker-managementfurkangonel/cowranglerSkill11mo agoMITC16Claude Code, Codex
clinicaltrials-databasesynthetic-sciences/openscienceSkill4.3k2d agoApache-2.0A47Claude Code, Codex