Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/lingxling/awesome-skills-cnnpx agentmods add skills/lingxling/awesome-skills-cn/agy-delegateWrote 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.
[](https://agentmods.dev/skills/lingxling/awesome-skills-cn/agy-delegate)<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/agy-delegate"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/agy-delegate/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.
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/agy-delegate"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/agy-delegate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00035 | $0.02142 |
| Opus 5.5 | $0.00014 | $0.00857 |
| Sonnet 5.5 | $0.00007 | $0.00428 |
| Haiku 4.5 | $0.00003 | $0.00214 |
Grade A, and why
agy-delegate 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 10d ago.
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.
This is a copy
100% identical to agy-delegate — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Antigravity Delegate
When to Use
- You want to delegate a bounded coding task to a separate
agyimplementer (Google Antigravity) and then review its diff yourself. - The user explicitly asked for delegation to this implementer.
You are the orchestrator. This skill lets you hand a bounded coding task to a separate
implementer - the Google Antigravity CLI (agy) - then review what it produced and land it
yourself. You write the brief and own the judgment; Antigravity does the typing in its own
conversation; you verify and commit.
Nothing here is specific to one orchestrating agent. The loop needs only the ability to run a shell command and read a file, so any comparable agent can drive it. It is designed for and run on Claude Code; treat other orchestrators as designed-for, not yet proven.
When NOT to use this
- The task is small enough to just do inline - delegation overhead is not worth it.
- The
agyCLI is not installed or not authenticated. Install it from Antigravity's CLI docs and run the first-launch setup. - You want to write the code yourself, or you only need Antigravity's opinion on code you wrote (a
--read-onlydispatch covers review without edits, but a plain review may not need delegation at all).
Prerequisites (check once)
agy helpsucceeds. If not, install the Antigravity CLI and complete first-launch setup.agy modelssucceeds. That proves the CLI can authenticate and list the available model labels.- You are in (or will point
--cdat) the target git repository.
These checks do not prove that a headless write will be approved. In --print mode, Antigravity
cannot prompt for a write permission and may auto-deny it. The relay detects that denial instead of
reporting completion.
Choose the implementer model
agy has a configured default model, so --model is optional. Use it when the human has a preferred
Antigravity model label for the task. Otherwise let Antigravity use its own current default rather than
guessing.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 169 lines · 35 tokens per session scan A cff44bfc1130
agy-delegate is a skill published in the GitHub repository lingxling/awesome-skills-cn (312 stars, last pushed 10d ago), licensed MIT. It adds 35 tokens to every session and 2,142 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agy-delegate, differing in 0 lines, and is treated as a copy.
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