AgentDock is a runtime that gives AI agents controlled access to files, commands, Git, browsers, containers, and other tools on local computers and remote servers. It is used to let agents write and test code, manage services, inspect systems, and coordinate work across multiple machines within explicit permissions.
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 uvwt/agentdock --skill skill-authoringgit clone --depth 1 https://github.com/uvwt/agentdockWrote 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/uvwt/agentdock/skill-authoring)<a href="https://agentmods.dev/skills/uvwt/agentdock/skill-authoring"><img src="https://agentmods.dev/badge/skills/uvwt/agentdock/skill-authoring/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/uvwt/agentdock/skill-authoring"><img src="https://agentmods.dev/badge/skills/uvwt/agentdock/skill-authoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00052 | $0.02639 |
| Opus 5.5 | $0.00021 | $0.01056 |
| Sonnet 5.5 | $0.00010 | $0.00528 |
| Haiku 4.5 | $0.00005 | $0.00264 |
Grade A, and why
skill-authoring 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 27d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Authoring
用于创建或维护 AgentDock Skill。Skill 的本体是模型可读取的说明文档;真实操作仍由命令、文件、浏览器、MCP 等工具完成。
AgentDock 不为 Skill 建立独立版本生命周期。Skill 的当前内容由来源与内容摘要识别;同名 managed Skill 更新时直接原子替换当前内容,不保留可选历史 revision,不提供 activate 或 rollback。
核心原则
- 先定义模型何时应该选择该 Skill,再写正文。
- Skill 核心应兼容 Agent Skills 的文档模型,不把 AgentDock 私有运行时当作通用契约。
- 最小 Skill 只有一个
SKILL.md;只有确有需要时才增加references/、脚本或测试。 - 包内资源使用相对路径,业务环境变量由宿主注入当前进程。
- 秘密、缓存、会话、数据库、下载结果和设备私有状态不得进入 Skill 包。
- 修改后必须真实 lint、测试,并在需要时安装到 AgentDock 验证当前内容。
- 不创建或恢复 Skill 自有版本选择、激活、回滚或历史 revision 机制。
完整规范见 references/skill-package-spec.md。
目录
普通第一方和社区 Skill 默认放在独立 Skill 仓库:
skills/<skill-name>/
└── SKILL.md
按需扩展:
skills/<skill-name>/
├── SKILL.md
├── references/
├── scripts/
├── run.py
└── tests/
只有必须随 AgentDock runtime 一起交付的核心 Skill 放在:
core-skills/<skill-name>/
不要创建空目录。
SKILL.md Frontmatter
AgentDock 使用 Agent Skills 风格的字段:
---
name: example-skill
description: 清楚说明何时使用、解决什么问题
license: Apache-2.0
compatibility: Requires Python 3.11 or later.
metadata:
owner: example-team
allowed-tools: exec_command
---
# Example Skill
AgentDock 真正依赖并严格校验的只有:
name必填,长度 1–64,只允许小写 ASCII 字母、数字和-,不能以-开头/结尾,也不能包含连续--;description必填,最长 1024 个 Unicode 字符,并能让模型稳定判断何时使用;重要的 Use when、Do not use 和相邻 Skill 边界条件不要依赖正文补充,因为模型会先用 description 做候选路由;- Markdown 正文必须非空;
- 其他 frontmatter(包括
license、compatibility、metadata、allowed-tools、version以及第三方扩展字段)由作者生态定义,AgentDock 原样保留但不作为安装/运行前提; - 不设计 AgentDock 私有的
version、active_version、revision 或 rollback 契约。
AgentDock 路由索引
AgentDock 会先暴露轻量 description 索引,再按需读取完整 SKILL.md。不同来源的索引预算不同:
- standalone managed 与 Plugin-owned Skill:
agentdock_context.skills返回 trim 后的完整description; - workspace Skill:
workspace_context.workspace_skills返回 trim 后的完整description,但最多列出 50 项; - shared/common Skill:
agentdock_context.common_skills面向数量不可控的~/.agents/skills,最多列出 50 项,并把每项description限制在 120 bytes。
因此 authoring 时应把 description 视为路由契约,而不是正文摘要的随意前缀。AgentDock 不提供可配置的 description 截断上限;如果未来 Skill 总量显著增长,应通过索引总预算或检索式路由解决,而不是静默裁掉每个已管理 Skill 的 description 后半段。
What ships with it
3 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.
- 27d ago Changed · +6 lines 1b739bac7851
- 28d ago Changed · +4 lines 87516ae57231
- 29d ago Changed · -110 lines · +6 tokens per session 801fe52d65c3
- 1mo ago First seen · 347 lines · 46 tokens per session scan A 153b67fcfba8
skill-authoring is a skill published in the GitHub repository uvwt/agentdock (1,268 stars, last pushed 2d ago), licensed Apache-2.0. It adds 52 tokens to every session and 2,639 once invoked, about $0.0002 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.
Other skills, from other repositories
pkf-writing
Author, update, convert, validate, persist, and render PKF (.pkf) content through message-inline, Library Asset, or Memory Page carriers. Use for structured reports, knowledge pages, delivery cards, or any .pkf body. NOT for recall, memory-graph placement, or curation decisions — those belong to the memory skill.
prismer-python-debugpy
Debug Python: pdb REPL + debugpy remote (DAP).
memory-import
Bulk-import an external knowledge base into Prismer memory via the three-layer import pipeline (07 §3.1). Use when the user asks to import/migrate documents, a knowledge base, or notes into workspace memory. Layer 1 lands raw documents (zero LLM, instantly searchable); Layer 2 is YOUR distillation work — you read the…
sora-taira-testnet
Work against the SORA Taira testnet through its deployed Torii MCP endpoint for live account, asset, alias, contract, governance, Musubi package-registry, and transaction workflows. Use when Codex needs to inspect or mutate the Taira testnet, verify or add https://taira.sora.org/v1/mcp, prefer the curated iroha. tool…
gateway
Start and manage the Kurtosis gateway for Kubernetes. The gateway forwards local ports to the Kurtosis engine and services running in a k8s cluster. Required when using Kurtosis with Kubernetes. Use when kurtosis engine status shows nothing on k8s or services aren't reachable.
conventions
Spring Boot project conventions and mandatory rules. Auto-loads when working with Spring Boot, Java, or Maven projects. Enforces No-Lombok, constructor injection, RestClient, and other standards.