dsh-agentvalet
Governed platform access for DeepSeek Harness — no credential on the machine
agentvalet
@agentvalet
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安装
dsh plugin --profile web add github:agentvalet/dsh-agentvalet
需要可复现安装时,可在仓库后追加 #commit 固定提交。
Governed platform access for DeepSeek Harness — no credential on the machine
该插件未提供要点说明,请参考仓库 README。
agent-securityai-agentscredential-governancedeepseek-harnessdsh-plugindsh
- 安装并启动 DeepSeek Harness:
npx @deepseek-ai/dsh web - 在终端执行上面的安装命令(CLI 会解析插件并核验来源)
- 用 dsh plugins list 确认已安装,必要时重启 Harness 生效
插件以当前 dsh 进程的权限运行,安装时可能执行代码。请先通读仓库源码与许可证,确认无破坏性命令与越权访问;本站只做索引,不对第三方插件安全性作担保。
| 代码仓库 | github.com/agentvalet/dsh-agentvalet |
| 许可证 | MIT |
| 主要语言 | main |
| 下载量 | 1 |
| GitHub 星标 | 0 |
| 最近推送 | 2026-08-21 |
| 收录日期 | 2026-09-19 |
| 分类 | 安全与权限 |
事实信息来自公开插件目录快照(2026-10-01),介绍文案由本站再加工。
以下为插件仓库 README 全文(原始内容,由公开目录抓取整理)。
# @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
```bash
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:
```bash
AGENTVALET_BOOTSTRAP_TOKEN= npx agentvalet-dsh-connect --profile web
```
`--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 `$DSH_HOME/agentvalet/.json`
(`~/.dsh/agentvalet/...` when `DSH_HOME` is unset) at mode `0600`, and the
store refuses outright to write anywhere inside a git working tree.
Once bound, the agent shows up in the dashboard **deny-by-default** — it can
call nothing until the owner grants it specific platforms and scopes.
A bootstrap token is single-use. Re-running connect on an already-connected
profile is refused rather than silently replacing the identity, so one
agent's audit history can never be laundered into another's.
### The routing instructions it writes
Connecting also writes a short routing block into `$DSH_HOME/AGENTS.md` — the
rule that platform calls go through AgentValet rather than around it. The block
sits between `` and `` 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
| Tool | Method | Notes |
|---|---|---|
| `agentvalet_list_platforms` | — | Lists platforms and scopes the owner has approved for this agent. Call this before any platform call — grants can change at any time. |
| `agentvalet_read_platform` | Always GET | Read from an approved platform. |
| `agentvalet_write_platform` | POST (default), PUT or PATCH | Create or update. May require owner approval. |
| `agentvalet_delete_platform` | Always DELETE | Usually 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.
数据来源:公开的 DeepSeek Harness 插件目录与各插件 GitHub 仓库。本站为独立第三方目录,与 DeepSeek、幻方(High-Flyer)及插件作者均无隶属或背书关系。