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Skills/starchild-ai-agent/official-skills/cli-bridge
cli-bridge logo

cli-bridge

starchild-ai-agent/official-skills
565 installs15 stars
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Installation

npx skills add https://github.com/starchild-ai-agent/official-skills --skill cli-bridge

Summary

|

SKILL.md

cli-bridge — issue CLI bundles for the user's own starchild binary

This skill mints a fresh AKM key (scope=chat:bridge:cli) on the local clawd, then registers it with sc-chatroom in exchange for a short opaque code (`sc_xxxxxxxx`). The bundle handed to the user contains only that short code — never the AKM secret, never the Fly machine id.

+----------------+   POST /agent/chat/stream   +-----------------+
| starchild CLI  |   Bearer sc_xxxxxxxx        | sc-chatroom     |
| (user laptop)  | --------------------------> | (gateway)       |
+----------------+                             +--------+--------+
                                                        |
                            resolves sc_… → AKM + container_id
                                                        |
                                                        v
                                          POST /chat/stream (Bearer sk_…
                                          + fly-force-instance-id)
                                          +----------------------+
                                          | user's own clawd     |
                                          | (Fly internal)       |
                                          +----------------------+

Why a short code instead of the raw AKM?

Earlier versions baked the AKM secret + Fly machine id into the bundle directly. That worked but had two downsides — the bundle leaked routing metadata when decoded, and any party that ever held the bundle held a permanent AKM secret. The short-code form fixes both:

  • Bundle base64 decodes to `{d, c:"", k:"sc_…", s, exp, l}` — no

secret, no Fly machine id.

  • `cli-revoke <sc_…>` kills just the short code; the underlying AKM

stays alive (use `cli-revoke --akm <prefix>` to nuke that too).

  • sc-chatroom now holds the AKM secret in its DB. That's a deliberate

trust shift — the AKM stays inside Fly's internal network instead of riding around on user laptops.

Scope boundary — read this first

cli-bridge covers exactly one path: the user's local CLI talking 1:1 to that user's own clawd. It is not a chatroom membership credential.

Use caseRight credentialWrong
Personal CLI ↔ own clawd (this skill)chat:bridge:cli AKM, fronted by sc_… code—
Join an sc-chatroom roomchat:thread:chatroom-{room_id} AKM via chatroom joinchat:bridge:cli AKM
Browse a public room as a guestno credential neededany AKM

Prerequisites

Same as chatroom:

  • AKM is installed in this clawd (POST /api/keys works on loopback)
  • AKM accepts scope="chat:bridge:cli" and the /chat/stream middleware

allows arbitrary thread_id for that scope (already shipped in clawd branch aladdin/feat/akm-chatroom)

  • sc-chatroom is on a build that includes POST /cli-keys (migration 007+)
  • FLY_MACHINE_ID (or CONTAINER_ID) env is set
  • CHATROOM_PUBLIC_URL env points at the sc-chatroom gateway (defaults

to https://workroom.iamstarchild.com)

  • CHATROOM_SERVER_URL env points at the Fly-internal sc-chatroom

(defaults to http://sc-chatroom.internal:8080)

Commands

cli-login — mint a new bundle

python3 skills/cli-bridge/scripts/cli_login.py --label "my laptop"
python3 skills/cli-bridge/scripts/cli_login.py --label "codex-vm" --ttl-days 14

Default TTL is 90 days; max is 365 days. Output is a one-liner the user copies into starchild login. The bundle is opaque — sc-chatroom resolves it on each call.

cli-list — show active bundles

python3 skills/cli-bridge/scripts/cli_list.py
python3 skills/cli-bridge/scripts/cli_list.py --include-revoked

Lists every CLI short code minted by this user on sc-chatroom. Columns: code, issued, expires, uses, label.

cli-revoke — kill a bundle

python3 skills/cli-bridge/scripts/cli_revoke.py sc_xxxxxxxx
python3 skills/cli-bridge/scripts/cli_revoke.py --akm sk_yyyyyy

Default: kills the short code in sc-chatroom; underlying AKM stays alive. With --akm: also revokes the AKM on local clawd, taking out every bundle backed by it.

Local shell via agent-shell (CLI ≥ v0.2.0)

A cli-login bundle minted with --enable-shell also authorizes the agent to run shell commands on the user's own machine — for "is nginx running on my laptop", "organize ~/Downloads", and the like. A plain bundle is a chat bridge only and grants no shell access (see "Shell is off by default" below). The user starts a small daemon:

starchild agent-shell            # daemonizes; holds a WS open to your clawd
starchild agent-shell --foreground   # attach to the terminal for debugging
starchild agent-shell-stop       # stop the daemon

agent-shell refuses to start if the logged-in bundle wasn't granted shell — it tells the user to get a --enable-shell bundle rather than connecting a channel clawd would reject.

The daemon is single-instance (pidfile + flock) and macOS/Linux only. It self-updates at startup and periodically; downloaded binaries are verified against an embedded Ed25519 release key before swapping, so a hostile or MITM'd update server can't push arbitrary code to the user's machine.

How it works: the daemon dials wss://<chatroom>/ws/cli-shell with the bundle's sc_… code. sc-chatroom resolves the code and reverse-proxies the WebSocket to the user's clawd machine — it accepts the laptop's upgrade, opens its own upstream WS to clawd pinned with fly-force-instance-id, and pumps bytes between the two (this is not fly-replay: chatroom and clawd are different Fly apps, and cross-app replay is rejected with 403). The AKM is injected server-side on the upstream hop — it never reaches the laptop. clawd holds the connection in its ShellHubService; the local_shell tool is then exposed to the LLM only while a shell-capable laptop is connected, and pushes commands down the socket.

Shell is off by default (capability gate)

cli-login does not grant shell unless --enable-shell is passed. The AKM is the authoritative capability source: clawd reads it on the /ws/cli-shell handshake and refuses every exec for a connection that doesn't carry shell (#264). So a leaked plain bundle is a chat credential, never local RCE.

  • Grant shell: cli_login.py --label … --enable-shell → AKM

capabilities: ["shell"], bundle carries x: ["shell"].

  • Upgrade an existing no-shell bundle: you can't flip it in place — mint a

new --enable-shell bundle, starchild login it, and cli-revoke the old one. Privilege escalation always goes through a fresh issuance.

What the agent knows up front (capability manifest)

On connect, the daemon sends a hello frame advertising:

  • Platform — os (darwin/linux), arch (arm64/amd64), and the active

shell. So the agent knows whether it's talking to BSD or GNU userland, which package manager to assume, etc. — no more guessing ps flags or hitting ps: illegal option.

  • Policy summary — mode (default-deny when no allow rules exist, else

allowlist), the user's allowed rules, explicit denied_extra rules, and the always-on builtin_denied list.

clawd renders this into the agent's system prompt (only while connected), so the agent picks a permitted command — or tells the user plainly that the local policy forbids it — instead of probing blindly.

Session behavior

  • Connection-level cwd. Each command's resulting working directory is

echoed back (via a trailing-pwd sentinel stripped from stdout) and persisted for the next command, so cd has real meaning across calls within a session — without the cost/fragility of a full PTY. An explicit per-call cwd overrides it.

  • Output truncation. stdout/stderr are each capped at 200 lines (plus a

byte cap) so a find / or log dump can't flood the LLM context. The full pre-truncation line count is reported (stdout_lines / stderr_lines), and truncated: true is set — the agent can say "showing first 200 of N lines" rather than truncating silently.

  • Heartbeat. The daemon pings every 45s to keep the idle WebSocket

alive (Fly's edge cuts idle sockets at ~2.5min). Exec runs in a goroutine so a long command doesn't block heartbeats.

Local execution policy (the only auto-run guard)

The daemon runs headless (no TTY to prompt on), so every command is gated by ~/.config/starchild/exec-policy.toml (parsed as a tiny YAML allow:/deny: line format — no TOML dependency, despite the name). Rules are substring matches by default; wrap a rule in / / for a regex:

allow:
  - "ls"
  - "cat "
  - "/^git (status|log|diff)/"
  - "ps"
deny:
  - "git push"

Decision order: built-in deny (always wins) → file deny → file allow → default-deny. Two hard rules apply regardless of the file:

  • A built-in deny list of interactive/TTY-blocking and destructive

commands is always refused: vim/vi/nano/emacs, less/more/man, top/htop/btop, ssh/telnet, sudo/su/ doas, tmux/screen, reboot/shutdown/halt, plus the shapes rm -rf, mkfs, dd if=, … | sh, … | bash, > /dev/sd*.

  • Default-deny: anything not matched by an allow rule is denied. So

with no policy file the policy mode is default-deny and nothing runs until the user opts commands in.

Limitations

  • Unattended policy only. There is no interactive approval prompt; the

policy file is the sole guard. A future version adds a web-approval popup.

  • Synchronous commands only. No background jobs / progress polling yet.
  • macOS/Linux only. The daemon refuses to run on Windows.
  • Revocation: cli-revoke <sc_…> kills the short code; the daemon's

next reconnect then fails auth and the channel closes.

File transfer via agent-shell (CLI ≥ v0.3.0)

When the bundle is minted with --enable-files, the same agent-shell daemon also serves file transfer between the user's machine and the agent's workspace. Content streams disk→disk and never passes through the chat, so large/binary files (10MB+ PDFs, images, archives) work.

Three agent-facing tools + one user command:

  • request_upload(laptop_path) — agent pulls a file FROM the laptop into

workspace/uploads/ ("take my ~/big.pdf and summarize it").

  • write_local_file(src, dst) — agent sends a workspace file TO the laptop

("save workspace/output/report.pdf to my ~/Downloads"). src is a workspace path, not inline content.

  • read_local_file(path) — read a small text file for the agent to see

(config/log snippet). Large/binary files go through request_upload.

  • starchild push <file> — user proactively uploads a local file into the

agent's workspace/uploads/; it's announced to the agent in its prompt.

python3 skills/cli-bridge/scripts/cli_login.py --label "laptop" --enable-files
# combine with shell if you want both:
python3 skills/cli-bridge/scripts/cli_login.py --label "laptop" --enable-shell --enable-files

files is an independent capability from shell — a bundle can have either, both, or neither. Like shell, it's off by default and authoritative on the AKM (clawd refuses transfer frames for a connection without it).

File path policy (laptop-side, layered)

Transfers are gated on the laptop by a path policy, strictest-first:

  1. Built-in protected paths are ALWAYS refused (even under --yolo):

~/.ssh, ~/.aws, shell rc (.zshrc/.bashrc/…), .config/starchild, launchd/systemd/cron, .git/hooks, browser cookie stores, .env, ssh keys. Writing those would be persistent RCE; reading them leaks creds.

  1. Dedicated transfer dir (~/starchild-transfer, auto-created) — always

allowed for read + write. The safe default workspace; prefer it.

  1. Outside that dir — denied unless the path matches a read_allow /

write_allow glob in ~/.config/starchild/file-policy.toml, or the daemon was started with --yolo:

   starchild agent-shell --yolo   # allow ANY path (built-in deny still applies)
   # ~/.config/starchild/file-policy.toml  (YAML allow-globs)
   read_allow:
     - "~/Documents/*.md"
   write_allow:
     - "~/exports/*.csv"

Other guarantees: written files get mode 0644 (never executable); writes are atomic (temp file + rename, no half-written target); symlinks that escape the transfer dir are refused; per-transfer cap is 100 MiB, streamed in chunks so large files don't blow the WS frame limit.

Security note: a running agent-shell (on a --enable-shell bundle) plus a permissive policy is effectively remote command execution on the user's machine, bounded by the AKM TTL, the sc_… code's validity, and the policy file. Defaults are conservative: shell is off unless explicitly granted, the policy is deny-all until commands are opted in, and the daemon's self-update verifies an Ed25519 signature before swapping binaries. Widen deliberately.

End-to-end smoke test

# 1. Inside agent chat:
@agent give me a cli key for my laptop
# → outputs `starchild login starchild_<base64>` (bundle has sc_… code)

# 2. On laptop:
starchild login starchild_xxx
starchild whoami
starchild "hello, who are you?"
# → starchild sends Bearer sc_… to sc-chatroom; sc-chatroom resolves
# → it to AKM + container_id and forwards to user's clawd

# 3. Revoke the short code from chat:
@agent revoke cli code sc_xxxxxxxx

# 4. Next CLI call should fail at the gateway:
starchild "hello?"
# → "gateway rejected (401) — code may be revoked; ask your agent for a fresh CLI bundle"

Pipe / shell composition (CLI ≥ v0.1.0)

Once paired, starchild is pipe-friendly. It reads stdin when no positional prompt is given, writes the assistant reply to stdout, and sends diagnostics to stderr — so it composes with any Unix tool.

# stdin → reply
echo "explain monads in 3 lines" | starchild

# reply → downstream
starchild "what is the OWASP top 10?" | pbcopy

# full three-stage pipe with streaming output
( echo "summarize this README:"; cat README.md ) | starchild --stream | tee summary.md

# code review pattern — concatenate context + question upstream
( echo "review this diff, flag risky changes:"; git diff ) | starchild

Gotcha: when you pass a positional prompt, stdin is ignored. To send both context and an instruction, concatenate them upstream with ( echo "<question>"; cat <file> ) rather than relying on cat <file> | starchild "<question>" (which would silently drop the file contents).

SOUL.md hint (recommended)

Add to your agent's SOUL.md so the LLM picks the right tool when the user asks for a CLI key:

## Issuing CLI bundles for the user's own bots/scripts

When the user asks "give me a cli key" / "create a starchild bundle" /
"let me talk to you from my terminal", run:

  python3 skills/cli-bridge/scripts/cli_login.py --label "<inferred>"

This is a chat bridge only — it does NOT let you run commands on their
machine or touch their files. Two independent opt-in capabilities, each
granting local access — only add them when the user explicitly asks:

- `--enable-shell` → run commands ("run commands on my laptop", "use
  agent-shell", "organize my Downloads"). Remote command execution.
- `--enable-files` → read/write files ("save this to my laptop", "read my
  ~/notes.md"). Reads/writes files on their machine.

  python3 skills/cli-bridge/scripts/cli_login.py --label "<inferred>" --enable-shell
  python3 skills/cli-bridge/scripts/cli_login.py --label "<inferred>" --enable-files

Treat both as granting access to their machine — never add either by
default or "to be helpful". If they later want a capability, mint a new
bundle with the flag and have them revoke the old one.

Default the label to something like "untitled-YYYY-MM-DD" if the user
doesn't suggest one. Show them the resulting bundle and tell them how
to revoke: `cli-list` to find the code, then `cli-revoke sc_…`.

After pairing, mention they can also pipe into the CLI from their
shell — e.g. `echo "..." | starchild`, `starchild "..." | pbcopy`,
or `( echo "review:"; git diff ) | starchild`. Stdout is the reply
(pipe-safe), stderr is diagnostics. Note the gotcha: passing a
positional prompt makes stdin get ignored, so context + question
should be concatenated upstream.

Score

0–100
55/ 100

Grade

C

Popularity15/30

565 installs — growing adoption.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Cli Bridge skill score badge previewScore badge

Markdown

[![Cli Bridge skill](https://www.claudemarket.ai/skills/starchild-ai-agent/official-skills/cli-bridge/badges/score.svg)](https://www.claudemarket.ai/skills/starchild-ai-agent/official-skills/cli-bridge)

HTML

<a href="https://www.claudemarket.ai/skills/starchild-ai-agent/official-skills/cli-bridge"><img src="https://www.claudemarket.ai/skills/starchild-ai-agent/official-skills/cli-bridge/badges/score.svg" alt="Cli Bridge skill"/></a>

Cli Bridge FAQ

How do I install the Cli Bridge skill?

Run “npx skills add https://github.com/starchild-ai-agent/official-skills --skill cli-bridge” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Cli Bridge skill do?

| The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Cli Bridge skill free?

Yes. Cli Bridge is a free, open-source skill published from starchild-ai-agent/official-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Cli Bridge work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Cli Bridge works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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