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Agy Native

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boshu2
agy-native

Run a supplied task in headless AGY (Antigravity, Gemini) and collect its result. Use when: AGY, Antigravity or Gemini is requested by name; never a fallback.

Overview

Publisherboshu2
Repositoryagentops
Skill nameagy-native
Stars
450
Forks
42
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by boshu2 on GitHub. Read the source before you install it.

Installation

Install the Agy Native AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/boshu2/agentops/tree/main/plugin/skills/agy-native
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/boshu2/agentops.git /tmp/agentops
mkdir -p .claude/skills
cp -r /tmp/agentops/plugin/skills/agy-native .claude/skills/agy-native
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agy Native in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agy Native on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agy Native is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AGY Native

Run a supplied packet in AGY (Antigravity) only when the caller explicitly selects that runtime. Scope the run to the supplied workspace and packet, return runtime evidence, and stop.

Before launch

  1. Read the live surface. Run agy --help for flags and defaults and agy models for the current model set. The CLI changes faster than skill text. Wrapper drift is a run built from remembered syntax that silently changed: it looks scoped and is not.
  2. Absent means stop. If agy is missing or its help cannot be read, report the absence and stop. Never fall back silently to Codex, Claude or any other runtime; a substitute needs a new caller selection. Nothing routes work to AGY on its own either. The repository reviewer library rates AGY a routine-tier, degraded-fallback reviewer; that rating applies only when a caller opts in, and it is not an automatic route.
  3. Set an explicit bound. Print mode (agy -p / --print) is the headless path, and it has no built-in limit: --print-timeout defaults to 0, which waits until the turn completes (AGY 1.2.14). Pass --print-timeout from the caller's remaining deadline and hold the same bound outside the process. A run stopped at the bound is a timeout, not a result.
  4. Name the posture (below) and confirm the packet's declared effects and the caller's authorization cover it.
  5. Keep author and validator apart. A validator is a new run in a new conversation, never -c/--continue or --conversation <author-id>. A session that reviews its own work forfeits the fresh judgment that makes a validator's evidence usable. Validators stay read-only and hand judgment to Validate; they never write the core verdict.

Permission posture (disclose it; never assume it)

Flags choose the posture. Name the one used:

  • No posture flag: AGY prompts for each tool permission. A headless run has no one to answer, so a prompt can stall it until the bound.
  • --dangerously-skip-permissions: auto-approves every tool call. Use it only when the declared effects and the caller's authorization cover that blast radius.
  • --sandbox: restricts the session's terminal access.
  • --mode (plan, accept-edits): changes the execution mode; confirm its current meaning in agy --help.

Command

Every agy flag below appears in agy --help for AGY 1.3.1; recheck before use. DEADLINE_EPOCH is an absolute Unix time the caller fixes once and reuses for every run in its scope, so a second run gets what is left rather than a new bound. POSTURE is a Bash array of the posture flags chosen above, for example POSTURE=(--sandbox); an empty array means AGY asks for each tool. PROMPT_FILE is an absolute path. The packet goes by path, not inline: a short -p pointer plus --add-dir, as scripts/lib/codex-exec.sh does, because a large inline prompt can be dropped while the run still looks scoped.

bash
TO=$(command -v timeout || command -v gtimeout) || { echo "no timeout: not launching" >&2; exit 2; }
remaining=$(( DEADLINE_EPOCH - $(date +%s) ))
[ "$remaining" -gt 0 ] || { echo "deadline passed; not launched" >&2; exit 124; }
cd "$WORKSPACE" || exit 2
"$TO" -k 10 "$remaining" \
  agy --print-timeout "${remaining}s" --model "$MODEL" --output-format json \
  "${POSTURE[@]}" --add-dir "$(dirname "$PROMPT_FILE")" \
  -p "Read the task packet at $PROMPT_FILE and do what it describes." >"$OUT" 2>"$ERR"
rc=$?  # 124, or 137 after the 10 s grace: the outer bound stopped the run

--print-timeout takes a duration with a unit, such as 300s. Add flags before -p so none lands after the prompt text. AGY's help does not say which status it returns when its own print timeout fires, so a run that ends at the bound is a timeout unless its output shows a finished turn.

Return

text
command:      exact argv (prompt by reference)
posture:      permission, sandbox and mode flags used
model:        requested model; observed model if AGY reported one, else unknown
conversation: id AGY reported, else unknown
bound:        --print-timeout value and the outer deadline
outcome:      exit status | timed out | not run (reason)
artifacts:    captured output and changed-file paths

AGY plugin, memory, permission, retry and session state are runtime facts; they never become AgentOps phase, queue or completion state. Installation, plugin mutation and recurring scheduling need separate explicit authorization.

Frequently asked questions

What does the Agy Native AI skill do?

Run a supplied task in headless AGY (Antigravity, Gemini) and collect its result. Use when: AGY, Antigravity or Gemini is requested by name; never a fallback.

Why use Agy Native on TypingMind?

Because you install it once and use it with any model. Agy Native is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agy Native in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/boshu2/agentops/tree/main/plugin/skills/agy-native. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agy Native?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agy Native?

As many as you like. As long as a model supports skills, you can use Agy Native with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agy Native AI skill free?

Yes. It is published on GitHub by boshu2 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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