google/bootstrap-google-tools
Install and authenticate, on demand, the CLIs the sandbox does not prebake — Node/npm, `gws` (Google Workspace), `gcloud`, `agents-cli` (call remote A2A/ADK agents), and `mcp-cli` (use MCP-server tools). Use this whenever one of those tools is needed but missing (a `node`/`npm`/`gws`/`gcloud`/`agents-cli`/`mcp-cli` command returns "command not found"), or before starting any task that requires one — Google Workspace work (Drive, Gmail, Sheets, Calendar, Chat), GCP via `gcloud`, calling another agent deployed remotely over HTTP (Cloud Run or Vertex Agent Runtime), or using tools exposed by an MCP server. Setup only (install + config + headless auth); each tool's own usage lives in its own skill(s).
npx skills add https://github.com/google/adk-samples --skill bootstrap-google-tools
The sandbox ships lean — Node, gws, gcloud, agents-cli, and mcp-cli are
not prebaked. This skill is the verified install + auth recipe for each.
The tools are independent: install only the one the task needs. This is a
menu, not a sequence — there's no 1-2-3 to run in order.
~/.local, credentials in /workspaceTwo different durability rules, because the sandbox has two boundaries:
$HOMEincluded) persists. Install once, reuse next session.
/workspace is migrated — and that migration is a zip that drops symlinks
and strips executable bits** (and is best-effort). So it can't carry installed
CLIs at all; it's only safe for plain data files.
That dictates the split:
| What | Where | On upgrade |
|---|---|---|
| CLI binaries | ~/.local (bin dir ~/.local/bin is on PATH) | gone — reinstalled (cheap, automatic via the command -v check) |
| Credentials / config | /workspace/lha/config/ (gws/, gcloud/, mcp_servers.json) | migrated — logins survive |
So: install binaries the normal way, but point each tool's config dir at
/workspace/lha/config (via its own env var, shown per tool) so the expensive
part — the OAuth client + tokens — survives upgrades. Don't put binaries on
/workspace: they can't migrate anyway, and bloating the migration zip risks
the credentials that *can*. ~/.local/bin is already on PATH (runtime image),
and the terminal shell is non-login (no ~/.profile), so that image PATH is
what makes installs resolve.
| Task | Tool | Needs first |
|---|---|---|
| Google Workspace — Drive / Gmail / Sheets / Calendar / Chat | gws | Node |
| Raw GCP, or creating a gws OAuth client by hand | gcloud | — |
| Call another agent deployed remotely (A2A / ADK) | agents-cli | — (uv is present) |
| Use tools exposed by an MCP server | mcp-cli | — (standalone binary) |
Each tool's usage lives in its own skill (google-workspace, mcp-cli's
shipped skill, the google-agents-cli-* set). This skill only gets a tool
installed and authed, then hands off.
Within a session (and across sessions without an upgrade) a tool may already be
present — check before installing, and install only what's missing:
terminal(command="command -v gws") # or gcloud / agents-cli / mcp-cli / node
gws)*The sandbox is Debian x86_64 with curl and tar but no xz. So you must
download the .tar.gz build, not the .tar.xz. Pick a current LTS version:
terminal(command='mkdir -p ~/.local/bin && cd ~ && V=v22.x.x && \
curl -fsSLo node.tgz "https://nodejs.org/dist/$V/node-$V-linux-x64.tar.gz" && \
tar -xzf node.tgz -C ~/.local && rm node.tgz && \
ln -sf ~/.local/node-$V-linux-x64/bin/node ~/.local/node-$V-linux-x64/bin/npm ~/.local/node-$V-linux-x64/bin/npx ~/.local/bin/')
Replace v22.x.x with the real current LTS. The ln -sf … ~/.local/bin/ step
puts node/npm/npx on PATH. Then verify:
terminal(command="node --version && npm --version")
.tar.gz — .tar.xz will fail to extract (xz is absent).gws — Google Workspace CLIInstall the npm global into ~/.local (needs Node on PATH — see above) with
--prefix, so the binary lands at ~/.local/bin/gws:
terminal(command='npm install -g --prefix ~/.local @googleworkspace/cli && gws --version')
Expect 0.22.x. gws self-identifies as "not an officially supported Google
product."
Keep gws credentials on /workspace. By default gws reads/writes
~/.config/gws — which is not migrated on a runtime upgrade. Point it at
/workspace and use the file keyring (no OS keyring headless) **on every gws
command** so the OAuth client, token, and encryption key survive:
export GOOGLE_WORKSPACE_CLI_CONFIG_DIR=/workspace/lha/config/gws
export GOOGLE_WORKSPACE_CLI_KEYRING_BACKEND=file
First, always: probe the pre-injected token. When the user has used
"Connect Workspace" in the web UI, the GOOGLE_WORKSPACE_CLI_TOKEN secret is
auto-injected into every terminal command — gws's highest-priority auth
source. Don't inspect the environment or ask; just run a cheap read against the
surface you need and see if it works:
terminal(command="export GOOGLE_WORKSPACE_CLI_CONFIG_DIR=/workspace/lha/config/gws GOOGLE_WORKSPACE_CLI_KEYRING_BACKEND=file && gws gmail messages list --params '{\"maxResults\": 1}'")
If it returns data, you're done — **no OAuth client, no gws auth login, no
loopback bridge**. It's a ~1h token (no refresh); the user re-clicks Connect
when it lapses. The token only carries the surfaces + access level
(read-only by default) the user picked — a gws call outside those scopes fails
(403/scope error), which means "reconnect with more surfaces or read-write,"
not that the token is missing. Don't trust gws auth status — with the
env token it reports auth_method: none / credential_source: token_env_var
even while reads succeed, so a real read is the only reliable check. Only if the
probe 401s (truly no token) do you fall through to the OAuth-client options
below.
Otherwise, point gws at an OAuth client — gws ships none of its own. Pick one:
client_secret.json into /workspace/lha/config/gws/ (must be aDesktop app OAuth client — see the google-workspace skill).
GOOGLE_WORKSPACE_CLI_CLIENT_ID + GOOGLE_WORKSPACE_CLI_CLIENT_SECRET.GOOGLE_APPLICATION_CREDENTIALS=/workspace/lha/config/gws/key.json— for fully unattended automation (no interactive login).
gws auth setup — provisions a project + OAuth client, but is a full-screenTUI that can't be driven headless; prefer option 1 in the sandbox.
gws auth login is loopback-browser only, but does complete headless — you
bridge the OAuth redirect by hand (start it backgrounded, relay the auth URL to
the user, then curl their pasted localhost:<port>/?code=... redirect back to
the waiting listener). The google-workspace skill has the full auth recipe
(Desktop-app client type, Internal audience, the loopback bridge) plus command
shapes (Drive, Docs, Sheets, Gmail, Calendar, Chat). For fully unattended jobs
with no user present to paste the redirect, use the service-account option.
**Under a routine, the Google/gcloud token is present only if you declared its
secret name (GOOGLE_WORKSPACE_CLI_TOKEN / CLOUDSDK_AUTH_ACCESS_TOKEN) in the
routine's secrets:.**
**Once gws is set up, strongly suggest installing Google's official gws
skills.** They live in the googleworkspace/cli repo and go deeper than the
builtin google-workspace skill — one per surface. Install the ones the user
needs (gws-shared is the common base the others build on):
terminal(command="npx --yes skills add googleworkspace/cli@gws-shared -y")
terminal(command="npx --yes skills add googleworkspace/cli@gws-gmail -y")
# also: gws-drive, gws-docs, gws-docs-write, gws-sheets, gws-calendar,
# gws-events, gws-chat-send
The Skills CLI stages each under .agents/skills/<skill>/, which Horizon
auto-discovers — just reload(), no move needed (see the find-skills skill
for details). (npx --yes skills find gws lists the current set with install
counts.)
gcloudInstall under ~/.local (slim — don't add extra components) and symlink the
entrypoints onto PATH:
terminal(command='mkdir -p ~/.local/bin && cd ~/.local && \
curl -fsSLo gcloud.tgz "https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-cli-linux-x86_64.tar.gz" && \
tar -xzf gcloud.tgz && rm gcloud.tgz && \
./google-cloud-sdk/install.sh --quiet --usage-reporting=false --path-update=false && \
ln -sf ~/.local/google-cloud-sdk/bin/gcloud ~/.local/google-cloud-sdk/bin/gsutil ~/.local/google-cloud-sdk/bin/bq ~/.local/bin/')
No durable gcloud credentials are kept in the sandbox. GCP access is via the
short-lived token-as-secret path below, which persists nothing — no refresh
token, no ADC file, no key. (You may set CLOUDSDK_CONFIG=/workspace/lha/config/gcloud
as a scratch config dir, but there is no login state to persist across upgrades.)
Verify:
terminal(command="gcloud --version")
Logging in deposits credentials the agent can use, in a sandbox with open
outbound internet egress. An injected agent could read the user's GCP data,
bq extract / gsutil cp it to a foreign bucket, mint a service-account key,
or grant external IAM — all over *.googleapis.com. Layer A (exfil_guard) still
gates credential/secret exfil and uploads to non-allowlisted hosts, and still
blocks the GCP metadata server; it has no GCP-action awareness (it can't see
what a gcloud call does). The real control is credential minimization:
credential** (refresh token / ADC file / SA key) in the sandbox, so a single
injection can't become standing access that outlives the ~1 h token.
cloud-platform(everything the user's IAM allows) is a broad, high-trust default — not a free one.
token.
The lowest-trust, least-friction path, and the only one we use (works for corp /
org-restricted accounts too): the user mints a **short-lived access token on their own
machine** (already gcloud-authed there, so the org's device/CAA policy is
satisfied) and hands it to the agent as a secret. Nothing durable lands in the
sandbox, and the token self-expires in ~1 hour.
gcloud auth print-access-token
CLOUDSDK_AUTH_ACCESS_TOKEN in the/lha/secrets UI — never pasted into chat (it's a live credential).
terminal command, andgcloud reads CLOUDSDK_AUTH_ACCESS_TOKEN from the environment — so the agent
just runs commands, no login / ADC / OAuth client at all:
terminal(command="export CLOUDSDK_CONFIG=/workspace/lha/config/gcloud && gcloud projects list")
gsutil and bq read the same env token. **Don't name the token in a
curl/wget** (-H "Authorization: Bearer $CLOUDSDK_AUTH_ACCESS_TOKEN"): the
exfil guard hard-blocks a network command that references a secret env var (by
design — it stops the agent exfiltrating the token). Use the gcloud-family CLIs,
which pick it up from the environment without naming it; a raw REST call that
must carry the token needs a /grant.
Why this is the default:
expiry the user re-mints and updates the secret.
/workspace to reuse.gcloud — no Account restricted, no custom OAuth client, no remote-bootstrap.
eliminate it) and carries the user's login scopes. For a long unattended job
the token expires (~1 h) and must be re-minted and the secret updated — by
design we keep no durable credential in the sandbox to fall back on.
agents-cli — call a remote agent (A2A / ADK)To hand a task to another agent deployed remotely (Cloud Run, Vertex Agent
Runtime, or any A2A endpoint), shell out to agents-cli — no in-process wiring
needed. This is the outbound counterpart to in-process delegate(): the remote
agent is its own service with its own state; you just send a prompt over HTTP.
Install (one-time; uv is already in the sandbox — it installs to ~/.local/bin):
terminal(command="command -v agents-cli || uv tool install google-agents-cli")
terminal(command="agents-cli --version")
(Install pulls from wherever google-agents-cli is published — if the sandbox
can't reach that index, that's the same egress dependency as the Node/gcloud
downloads.)
Invoke:
terminal(command='agents-cli run "summarize this repo" --url https://my-agent-xxxx.run.app --mode a2a')
--mode a2a for the A2A protocol; --mode adk for ADK SSE (/run_sse, or:streamQuery on Agent Runtime). --mode is required with --url.
--app-name <name> to target a specific agent at that endpoint.--session-id <id> to continue a conversation; -v for full JSON events.For a long-running remote task, run it with terminal(background=True) and poll
via the process tool (fire-and-forget).
Auth — usually automatic. agents-cli auto-detects Google credentials from
the sandbox identity: an ID token (audience = service URL) for Cloud Run, an
access token for Vertex AI / Agent Runtime. For this to yield a usable token,
the sandbox/Cloud Run service account needs the right IAM on the target
(roles/run.invoker for Cloud Run; Vertex perms for Agent Runtime) — a 401/403
is almost always missing IAM, not a CLI problem.
User-delegated auth (call *as the user*): pass the token explicitly, which
overrides auto-detect:
terminal(command='agents-cli run "..." --url https://... --mode a2a -H "Authorization: Bearer $USER_TOKEN"')
Source the token from the secrets / headless-auth subsystem (never inline a raw
secret into chat).
--url is a thin client — it loads no local skills (the remote agent's skills
are its own concern). If you need agents-cli's broader toolchain (scaffold,
deploy, eval, observability, publish, workflow), install those skills on demand
via the find-skills skill.
mcp-cli — use tools exposed by an MCP serverTo call tools served by an MCP server (GitHub, filesystem, databases,
third-party APIs) from the sandbox. This is the *client* side — using external
MCP servers via terminal, not running one. (Auth is static token only —
inject the server's bearer via ${VAR} headers, below; there is no OAuth/consent
flow. For GCP, use the token-as-secret path in the gcloud section, not MCP.)
Install — install.sh downloads a **checksum-verified, self-contained prebuilt
binary** (mcp-cli-linux-x64, ~100 MB) to ~/.local/bin/mcp-cli. It's compiled
with Bun but needs no Bun/Node at install or runtime — it's standalone.
Don't pipe-to-bash. curl … | bash is blocked by the tool policy (piping
remote content to a shell). Download the script, then run it from a file:
terminal(command="command -v mcp-cli || (curl -fsSLo /tmp/mcp_install.sh https://raw.githubusercontent.com/philschmid/mcp-cli/main/install.sh && bash /tmp/mcp_install.sh)")
terminal(command="mcp-cli --version")
(Optionally read_file('/tmp/mcp_install.sh') first — it just fetches the latest
release binary and verifies its SHA256.) It installs to ~/.local/bin.
Configure servers — this is the real onboarding work. mcp-cli is
config-driven: it reads mcp_servers.json. Keep it on /workspace (config is a
data file — it migrates) and point mcp-cli at it with MCP_CONFIG_PATH (its
highest-priority resolver); the default ~/.config/mcp/… is not migrated:
export MCP_CONFIG_PATH=/workspace/lha/config/mcp_servers.json
Write that file (Claude-Desktop / Gemini / VS-Code compatible):
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/workspace"]
},
"remote-api": {
"url": "https://mcp.example.com",
"headers": { "Authorization": "Bearer ${MCP_TOKEN}" }
}
}
}
command + args the sandbox can spawn (install the servertoo, e.g. via npx/uvx).
url (+ headers).${VAR} in headers is substituted from the environment at configload (missing var errors unless MCP_STRICT_ENV=false). Source that token from
the secrets subsystem (env-injection) — never inline a raw secret.
Use (or install mcp-cli's own usage skill via find-skills for the full
reference):
terminal(command="mcp-cli") # list servers + tools
terminal(command="mcp-cli info filesystem read_file") # tool schema
terminal(command="mcp-cli call filesystem read_file '{\"path\": \"./README.md\"}'")
Use call to invoke and info to inspect — mcp-cli <server> <tool> directly
is ambiguous and errors.
| Symptom | Cause / fix |
|---|---|
| any tool "command not found" after a runtime upgrade | binaries live in $HOME and aren't migrated — reinstall per this skill (the command -v check does this) |
| node/gcloud: command not found after install | the ln -sf … ~/.local/bin/ symlink step was skipped; re-run it (~/.local/bin is on PATH, the versioned/SDK bin dir isn't) |
| tar: ... cannot exec xz | downloaded .tar.xz; use the .tar.gz build instead |
| gws asks to log in again after an upgrade | its credentials were written under $HOME (not migrated); set GOOGLE_WORKSPACE_CLI_CONFIG_DIR to the /workspace/lha/config/* path on every call (gcloud keeps no persisted login — re-add the token secret) |
| gws login token not saved / no keyring | set GOOGLE_WORKSPACE_CLI_KEYRING_BACKEND=file (alongside the config-dir export) |
| gws auth status says auth_method: none but reads work | expected when GOOGLE_WORKSPACE_CLI_TOKEN is the source — auth status doesn't reflect the env token. Confirm with a real read, not auth status; don't start a login dance |
| gws auth login hangs on the listener | expected headless — bridge the redirect (see google-workspace skill) or use a service account if no user is present |
| 403 access_denied "Account restricted" | Context-Aware Access on the OAuth client — don't fight it. Use the token-as-secret path: user runs gcloud auth print-access-token locally and stores it as the secret CLOUDSDK_AUTH_ACCESS_TOKEN |
| network command blocked: "reads a credential path or secret env var" | Don't name $CLOUDSDK_AUTH_ACCESS_TOKEN (or any *_TOKEN/*_KEY) in a curl/wget — the exfil guard hard-blocks it. Let gcloud/gsutil/bq read the token from the env instead; a raw REST call needs a /grant |
| Unattended job has no GCP token | the CLOUDSDK_AUTH_ACCESS_TOKEN secret is missing or expired; surface "needs a fresh token" and stop — don't loop |
| agents-cli: command not found | uv tool install google-agents-cli (uv is already in the sandbox) |
| remote agents-cli run --url 401/403 | missing IAM on the target (roles/run.invoker / Vertex perms), not a CLI bug |
| --mode is required when using --url | add --mode a2a (or --mode adk) to the remote call |
| mcp-cli: command not found | download install.sh then bash the file (don't \| bash — policy blocks it); installs to ~/.local/bin |
| mcp-cli AMBIGUOUS_COMMAND | use mcp-cli call/info <server> <tool>, not mcp-cli <server> <tool> |
| mcp-cli ${VAR} missing at config load | export the token (from the secrets subsystem) or set MCP_STRICT_ENV=false |
Take google/bootstrap-google-tools from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npm, npx.
Without those the skill loads but fails at the first command.