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.
npx skills add 02loveslollipop/OpenCROW --skill agy-workergit clone --depth 1 https://github.com/02loveslollipop/OpenCROWWrote 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/02loveslollipop/opencrow/agy-worker)<a href="https://agentmods.dev/skills/02loveslollipop/opencrow/agy-worker"><img src="https://agentmods.dev/badge/skills/02loveslollipop/opencrow/agy-worker/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/02loveslollipop/opencrow/agy-worker"><img src="https://agentmods.dev/badge/skills/02loveslollipop/opencrow/agy-worker.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 | $0.00058 | $0.00699 |
| Opus 5.5 | $0.00023 | $0.00280 |
| Sonnet 5.5 | $0.00012 | $0.00140 |
| Haiku 4.5 | $0.00006 | $0.00070 |
Grade A, and why
agy-worker 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 1mo 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.
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.
OpenCROW Runner - AGY Worker
For asynchronous supervision, durable questions/replies, worktrees, and additional providers, use agent-worker with opencrow-worker-mcp. The tools below retain their synchronous behavior.
Runtime preflight
Probe required commands with command -v before use. The Antigravity CLI (agy) must be installed in PATH. If missing, report that agy is not installed on the host.
Use this skill when you are acting as the primary orchestrator, planner, or strategist, and need to delegate concrete execution subtasks to agy to preserve your attention and context window.
MCP First
Prefer the opencrow-agy-mcp server tools for delegation:
- Call
toolbox_info,toolbox_verify, andtoolbox_capabilitiesfirst. - Call
agy_executeto dispatch a self-contained task or ticket toagy:task: Clear, unambiguous prompt specifying goals, target files, and acceptance criteria.workspace: Directory whereagyshould execute.conversation_id: Pass an existing conversation ID to continue an ongoing thread, or leave empty for a fresh thread.mode: Default isaccept-edits.
- Call
agy_chatwhen you need to provide corrective feedback, share test errors, or request follow-up refinements in the same conversation thread. - Call
agy_session_statusto view active session turns and metadata. - Call
agy_session_stopto unregister finished sessions.
Quick Start
Start the MCP server directly or via the OpenCROW launcher:
opencrow-agy-mcp
Or execute an inline task via CLI:
agy --dangerously-skip-permissions --output-format json --print="Create hello.py and run it"
Workflow
- Strategic Planning: Break the overall problem down into discrete, testable subtasks. Do not give
agyunderspecified, multi-objective epics. - Dispatch Subtask: Call
agy_executewith target directory and explicit verification criteria (e.g., "Implement functionfooinbar.pyand ensurepytest tests/test_bar.pypasses"). - Inspect Output: Review the returned response, tool summary, and git status.
- Follow-Up or Correct: If the worker encountered errors or missed an edge case, call
agy_chatwith the error output and corrective guidance. - Finalize: Unregister the session with
agy_session_stopand integrate the completed work into your plan.
What ships with it
1 file 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.
- 1mo ago First seen · 60 lines · 58 tokens per session scan A 7ebd219c3019
agy-worker is a skill published in the GitHub repository 02loveslollipop/OpenCROW (10 stars, last pushed today), licensed Apache-2.0. It adds 58 tokens to every session and 699 once invoked, about $0.0002 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 2026-09-08.
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