infra-harbor-ops

infra-harbor-ops is a skill for Claude Code, Codex from seed-forge/harness-ai-kit. It costs 47 tokens per session (460 once invoked), scanned A, original, Apache-2.0.

A Chinese-language operations guide for Harbor, a private registry that stores and distributes OCI container images.

In plain words
What is it for?
Use it to manage Harbor projects, robot accounts, proxy caches, registry tokens, reverse-proxy problems, and runtime health checks.
Why use it?
It helps distinguish Harbor platform problems from issues in the systems consuming images, so troubleshooting goes to the right process.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit Use it to manage Harbor projects, robot accounts, proxy caches, registry tokens, reverse-proxy problems, and runtime health checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seed-forge/harness-ai-kit/infra-harbor-ops
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 seed-forge/harness-ai-kit --skill infra-harbor-ops
Clone the repo
git clone --depth 1 https://github.com/seed-forge/harness-ai-kit

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 infra-harbor-ops

README.md
[![agentmods](https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/infra-harbor-ops/github.svg)](https://agentmods.dev/skills/seed-forge/harness-ai-kit/infra-harbor-ops)
Your own site
<a href="https://agentmods.dev/skills/seed-forge/harness-ai-kit/infra-harbor-ops"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/infra-harbor-ops/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 infra-harbor-ops

Your own site · 80×15
<a href="https://agentmods.dev/skills/seed-forge/harness-ai-kit/infra-harbor-ops"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/infra-harbor-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 460 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 $0.00047 $0.00460
Opus 5 $0.00023 $0.00230
Sonnet 5 $0.00009 $0.00092
Haiku 4.5 $0.00005 $0.00046

Measured 10d ago against content hash 158baee7cd8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

infra-harbor-ops 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 10d 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/infra-harbor-ops/SKILL.md · 40 lines

What it actually says

infra-harbor-ops

用于 Harbor 平台级 day-2 运维。Harbor 负责 OCI 镜像、proxy cache、robot/project 权限和 registry token runtime。

边界

  • 本 skill 负责:project/robot/proxy cache、Harbor 反代和 token runtime 排障、平台健康巡检。
  • infra-artifact-readiness-ops 负责 CI/部署消费侧的 OCI 预热和 readiness gate。
  • infra-nexus-ops 负责语言包仓库,不把 Docker 代理缓存放进 Nexus。

操作顺序

  1. 先判断是平台问题还是消费链问题。
  2. 平台问题查 Harbor config、proxy、token runtime、project/robot。
  3. 消费链问题转 infra-artifact-readiness-ops 做 warm/readiness。
  4. 涉及 Woodpecker/Kaniko 时联动 infra-woodpecker-pipeline-ops

推荐输出格式

执行完毕后输出极简回执:状态(✅ 成功 / ⚠️ 部分成功 / ❌ 失败)+ 关键结果(1-2 行,如操作对象、产出位置、下一步)。无需强制套用大表格。

配置上下文

本技能依赖以下配置,AI 在运行时按如下优先级解析:

  1. 用户对话中明确提供的值(最高优先级)
  2. ~/.harness-ai-kit/config.yamlassets.infra-harbor-opsglobal
  3. config.defaults.yaml 中的默认值

如用户未提供且无默认值的 required 字段,必须主动询问用户。 禁止从 AGENTS.md 或脚本中读取硬编码配置值。

参考文档:

  • references/REFERENCE-HARBORCTL-CLI.md
Files

What ships with it

5 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.

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. 10d ago First seen · 40 lines · 47 tokens per session scan A 158baee7cd8d

Subscribe to this mod's changes

infra-harbor-ops is a skill published in the GitHub repository seed-forge/harness-ai-kit (22 stars, last pushed 9d ago), licensed Apache-2.0. It adds 47 tokens to every session and 460 once invoked, about $0.0002 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 2026-08-30.

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