What is delegate-to-my-ai-clis?

A local connection that lets AI agents use browser and desktop controls through MCP, a standard interface for connecting AI systems to tools. It is installed and run as a local package command.

Use it as the local MCP connection for Empir3 browser and desktop control.

It provides a local bridge between the agent and the user's computer instead of requiring a remote service. The description does not specify the full set of available actions.

delegate-to-my-ai-clis — Skill for Claude Code and Codex by empir3hq

Install

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.

Any agent

npx skills add empir3hq/empir3-bridge --skill delegate-to-my-ai-clis

Clone the repo

git clone --depth 1 https://github.com/empir3hq/empir3-bridge

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/empir3hq/empir3-bridge/delegate-to-my-ai-clis/github.svg)](https://agentmods.dev/skills/empir3hq/empir3-bridge/delegate-to-my-ai-clis)

Your own site

<a href="https://agentmods.dev/skills/empir3hq/empir3-bridge/delegate-to-my-ai-clis"><img src="https://agentmods.dev/badge/skills/empir3hq/empir3-bridge/delegate-to-my-ai-clis/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/empir3hq/empir3-bridge/delegate-to-my-ai-clis"><img src="https://agentmods.dev/badge/skills/empir3hq/empir3-bridge/delegate-to-my-ai-clis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 708 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00107	$0.00708
Opus 5.5	$0.00043	$0.00283
Sonnet 5.5	$0.00021	$0.00142
Haiku 4.5	$0.00011	$0.00071

Measured yesterday against content hash 3f78113fc2c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

delegate-to-my-ai-clis 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 yesterday.

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.

grok-plugin/skills/delegate-to-my-ai-clis/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Delegate to my AI CLIs

The Bridge runs a lent CLI on the user's computer with that CLI's own sign-in. No key is shared with you; the user's plan and limits apply.

1. Always start with `cli_status`

It returns one row per model — codex, grok, claude, agy (Google's Antigravity CLI) — with available (installed), lent (the owner turned sharing on), authenticated (signed in), ready (all three) and a blocker. Only ready rows can run. For a blocker, tell the user the exact fix and stop:

cli_not_installed — install that CLI on this machine.
not lent — turn the row on under API & CLIs in the Bridge console (http://localhost:3006/console).
not authenticated — sign in to that CLI on this machine.

Never ask for an API key or a password to get past a blocker.

2. Run with `cli_run`

model — one of the ready rows.
prompt or promptFile — the CLI has none of your conversation. Make the prompt self-contained: the goal, the inputs, the expected output format. Put long material in a file and pass promptFile.
mode:"text" (default) is read-only and returns the answer. mode:"agentic" lets the CLI write files inside cwd; it works best on codex. Use it only with a cwd the user named, and report the files it changed afterwards.
background:true for anything long; it returns a run id at once. Poll cli_run_status with that id, or list everything with cli_runs. Each run keeps a transcript path you can quote.
timeoutMs defaults to four minutes and caps at twenty.

3. Patterns that work

Draft with one model, review with another: cli_run Grok for the draft, then cli_run Claude with the draft in promptFile and a review brief.
Parallel opinions: two background runs, then compare both transcripts.
Build in a sandbox: codex in mode:"agentic" with an explicit cwd, then read the diff yourself before telling the user it is done.

4. Be honest about the result

A run that ends with an error, a timeout or an empty transcript did not produce an answer; say so and show the transcript path. Do not rerun the same prompt in a loop. If a CLI returns a different model's name or refuses, report that verbatim.

Read the full file on GitHub · 60 lines

Changes

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.

yesterday First seen · 60 lines · 107 tokens per session scan A 3f78113fc2c4

Subscribe to this mod's changes

delegate-to-my-ai-clis is a skill published in the GitHub repository empir3hq/empir3-bridge (3 stars, last pushed yesterday), licensed MIT. It adds 107 tokens to every session and 708 once invoked, about $0.0004 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 2026-10-19.

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