DeepSeek Harness 插件

dsh-agentvalet

Governed platform access for DeepSeek Harness — no credential on the machine(英文原文)

跳到安装方式

来源信息

GitHub 仓库
AgentValet/dsh-agentvalet
最近更新
2026年8月21日
分类
工具与能力
GitHub stars
0
载体类型
plugin
目录证据
上游声明已找到 dsh.bundle
证据路径
package.json#dsh.bundle
核对版本
0.1.0-rc.8
上游核对日期
2026-08-21

该证据由上游目录提供。本站没有安装、运行或安全审核这个插件。

安装

默认先复制一段 Prompt,让 Agent 读 GitHub 仓库和源码;需要自己装时再切到命令。

复制这段 Prompt,发给 DSH、Codex 或其他 Agent,让它先读 GitHub 仓库和源码。

请先不要安装或执行任何命令。阅读这个插件的 GitHub 仓库、README 和关键源码,然后用清楚、直接的方式回答以下问题,帮助我判断它是否适合我的需求:

1. 这个插件是什么,解决什么问题;
2. 适合哪些用户和典型使用场景;
3. 安装后如何使用,并给出一个最小使用示例;
4. 有哪些已知限制,以及隐私、安全、兼容性或维护风险;
5. 给出“推荐 / 有条件推荐 / 不推荐”的明确建议和理由。

请区分仓库明确说明、根据源码推断和未知信息。证据不足时请明确说明,不要猜测或照抄 README。

GitHub:https://github.com/AgentValet/dsh-agentvalet
插件名:dsh-agentvalet
作者:AgentValet

检查来源文件

安装前先看这个插件目录里的 README 和其他文件。

文件资源管理器3 个文件
README.md来源说明 · 只读预览

@agentvalet/dsh

Governed platform access for DeepSeek Harness agents: an agent calls Slack, GitHub, Gmail, Stripe, or any other AgentValet-connected SaaS platform through a broker that enforces the owner's grants and approval flow, with no API key stored on the machine the agent runs on.

Install

dsh plugin --profile web add @agentvalet/dsh

This installs both plugins the bundle ships: av-identity (the agentvalet service) and av-tools (the four tools below). Restart or reload the profile after installing.

Connect

An installed but unconnected profile has no identity yet — calls report "not connected" rather than failing obscurely. To connect it:

1. In the AgentValet dashboard, generate a single-use bootstrap token for a new agent. 2. Run the bundle's connect command:

AGENTVALET_BOOTSTRAP_TOKEN=<token> npx agentvalet-dsh-connect --profile web

--token <token> works too; the environment variable just keeps the token out of your shell history. The command prints the new agent id and nothing else — never the token, never the key. --help lists the rest of the flags.

Connecting is a command you run, not a tool the agent can call. An enrolment tool would let an agent bootstrap its own identity with no human in the loop, and the identity would stop attesting to a person's decision to create it.

The command generates an RS256 keypair locally and sends only the public key to AgentValet's /v1/agents/bind endpoint. The private key never leaves the machine. It is written to $DSH_HOME/agentvalet/<profile>.json (~/.dsh/agentvalet/... when DSH_HOME is unset) at mode 0600, and the store refuses outright to write anywhere inside a git working tree.

Once bound, the agent shows up in the dashboard deny-by-default — it can call nothing until the owner grants it specific platforms and scopes.

A bootstrap token is single-use. Re-running connect on an already-connected profile is refused rather than silently replacing the identity, so one agent's audit history can never be laundered into another's.

The routing instructions it writes

Connecting also writes a short routing block into $DSH_HOME/AGENTS.md — the rule that platform calls go through AgentValet rather than around it. The block sits between <!-- agentvalet:start --> and <!-- agentvalet:end --> fences: anything else in that file is yours and is left untouched, and re-running connect refreshes the region in place instead of appending a second copy.

It is written there because that is where dsh reads. The instruction loader (@deepseek-ai/dsh-agent-instructions) reads $DSH_HOME/AGENTS.md and then each directory from the project root down to the session cwd — it never scans node_modules, so the AGENTS.md shipped inside this package reaches no model. That copy is documentation for you to read or paste into a project root.

Note it follows $DSH_HOME, not --home: --home only relocates where the identity is stored, and following it would put the file somewhere nothing reads. If the write fails, connect says so and still reports the enrolment — by then the single-use token is spent and the agent exists, so failing the whole command over a markdown file would strand a real identity.

The block deliberately contains no agent id, owner id, or scope list. This file lands in a home directory and gets copied into project roots and pasted into issues; identity in it would leak through ordinary use.

Tools

ToolMethodNotes
agentvalet_list_platformsLists platforms and scopes the owner has approved for this agent. Call this before any platform call — grants can change at any time.
agentvalet_read_platformAlways GETRead from an approved platform.
agentvalet_write_platformPOST (default), PUT or PATCHCreate or update. May require owner approval.
agentvalet_delete_platformAlways DELETEUsually requires owner approval.

Every tool takes the platform id and scope string exactly as returned by agentvalet_list_platforms, plus an endpoint. All four resolve to { ok: true, data } on success or { ok: false, error } on failure — a denial, a pending approval, or a suspended agent all come back as a plain result the model can read and explain rather than as a thrown error. (That is a guarantee about our own tool bodies. Argument validation happens in the harness before our code runs, so a malformed call comes back in dsh's own isError result shape instead.)

What this does NOT do

  • No local policy engine. Every grant, scope, and approval decision is

evaluated by AgentValet's proxy, not by anything running on this machine.

  • No vault on disk beyond the agent's own signing key. There is no

platform credential to steal locally — API keys for Slack, GitHub, and the rest live only at the broker, never on the agent's host.

  • No sandboxing. This plugin governs which platform calls succeed; it

is not a substitute for running the harness in a sandbox and pairs with one rather than replacing it.

  • No sub-agent delegation and no attenuated scope re-issue. This bundle

implements neither. It enforces the owner's grants for this one agent, and that is all it does.

Compatibility

Declared harness range: >=0.1.0-rc.5 <0.2.0. Verified against @deepseek-ai/dsh@0.1.0-rc.7, @deepseek-ai/cordis@4.0.1, and @deepseek-ai/dsh-tools@0.1.0-rc.7 — see VERIFICATION.md for what was and was not confirmed against a real harness run.