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.
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.
curl -O https://raw.githubusercontent.com/av/harbor/main/.agents/skills/new-service/SKILL.mdgit clone --depth 1 https://github.com/av/harborWrote 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/av/harbor/new-service)<a href="https://agentmods.dev/skills/av/harbor/new-service"><img src="https://agentmods.dev/badge/skills/av/harbor/new-service/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/av/harbor/new-service"><img src="https://agentmods.dev/badge/skills/av/harbor/new-service.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 | $0.00139 | $0.03745 |
| Opus 5.5 | $0.00056 | $0.01498 |
| Sonnet 5.5 | $0.00028 | $0.00749 |
| Haiku 4.5 | $0.00014 | $0.00375 |
Grade A, and why
new-service scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
(`curl`, `jq`, `sqlite`, `ssh-keygen`, etc.), **do not** install them with `apk add` in How it starts
The opening of the file, as written. The whole thing — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adding a New Service to Harbor
Subagent instruction: Before doing any work, read this skill file in full using the
read_filetool at path/home/everlier/code/harbor/.agents/skills/new-service/SKILL.md. Do not proceed until the file has been read.
Harbor is a modular Docker Compose project. Each service is a self-contained unit:
a compose file, a service directory, environment variables, app metadata, and documentation.
The detailed technical reference lives in .github/copilot-new-service.md — consult it
for edge cases or patterns not covered here.
Workflow Overview
Gather Info → Scaffold → Compose Config → Env Vars → Metadata → Documentation → Integrations → Test
Every step has validation criteria. Do not advance until the current step passes.
Step 0: Gather Information
Before writing any files, understand what you're building.
Required inputs:
- Service name or GitHub repo URL (from user)
- Docker deployment method: pre-built image, Dockerfile, or docker-compose in repo
- Service category: backend (inference), frontend (web UI), or satellite (tool/utility)
- Ports the service exposes internally
- Persistent data directories (volumes)
- Environment variables the service accepts
Research the repo. Look for:
docker-compose.yml,Dockerfile, ordocker/directory- README sections on Docker deployment, environment variables, configuration
- The service's default ports and data paths
If the repo has its own docker-compose, study the service definitions — you'll adapt them to Harbor's conventions, not copy them verbatim.
If ambiguous, ask the user. Don't guess the category or deployment method.
Step 1: Select a Handle
The handle is the service's identifier everywhere in Harbor.
Rules:
- Lowercase letters, numbers, hyphens only
- Short, memorable, representative
- Must be unique
Validate:
ls services/compose.${handle}.yml 2>/dev/null && echo "TAKEN" || echo "OK"
grep -q "\"${handle}\"\\|'${handle}'\\|${handle}:" app/src/serviceMetadata.ts && echo "TAKEN" || echo "OK"
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.
- 1mo ago Changed · +9 lines c32de3c3a2bb
- 2mo ago First seen · 405 lines · 139 tokens per session scan A 3c2a3dece9d1
new-service is a skill published in the GitHub repository av/harbor (3,263 stars, last pushed 6d ago), licensed Apache-2.0. It adds 139 tokens to every session and 3,745 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
new-service compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| new-serviceav/harbor | Skill | 3.3k | 6d ago | Apache-2.0 | A | 139 | Claude Code, Codex |
| synapsedinglebear-ai/synapse | Skill | 2 | 4d ago | AGPL-3.0 | A | 67 | Claude Code |
| docker-essentialsasgarovf/locusai | Skill | 23 | 8mo ago | MIT | A | 35 | Claude Code |
| docker-managementfurkangonel/cowrangler | Skill | 1 | 1mo ago | MIT | C | 16 | Claude Code, Codex |
| docker-local-buildkurtosis-tech/kurtosis | Skill | 558 | 4d ago | Apache-2.0 | A | 56 | Claude Code, Codex |
| k8s-dev-deploykurtosis-tech/kurtosis | Skill | 558 | 4d ago | Apache-2.0 | A | 78 | Claude Code, Codex |
| docker-debugkurtosis-tech/kurtosis | Skill | 558 | 4d ago | Apache-2.0 | A | 45 | Claude Code, Codex |