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 Boulea7/agy-mcp --skill agy-collaborationgit clone --depth 1 https://github.com/Boulea7/agy-mcpWrote 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/boulea7/agy-mcp/agy-collaboration)<a href="https://agentmods.dev/skills/boulea7/agy-mcp/agy-collaboration"><img src="https://agentmods.dev/badge/skills/boulea7/agy-mcp/agy-collaboration/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/boulea7/agy-mcp/agy-collaboration"><img src="https://agentmods.dev/badge/skills/boulea7/agy-mcp/agy-collaboration.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 | $0.00050 | $0.01117 |
| Opus 5.5 | $0.00020 | $0.00447 |
| Sonnet 5.5 | $0.00010 | $0.00223 |
| Haiku 4.5 | $0.00005 | $0.00112 |
Grade C, and why
agy-collaboration scanned grade C with 1 finding 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 22d 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
- **Do not refuse legitimate tasks because of mode.** If you think a Copies of this mod
1 near-identical copy found in the catalogue:
- agy-collaboration — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Antigravity collaboration playbook
You are being driven by another agent (Claude Code, OpenAI Codex, or the agy-mcp bridge CLI) for a specific task. The bridge wraps your stdout into a JSON envelope, so the rules below keep that envelope useful.
What the bridge expects from you
-
Single coherent response per turn. The bridge buffers your stdout until your turn ends, then emits one assistant message. Multi-section narration is fine; multi-turn chatter is not.
-
Plain prose, no emoji. The bridge runs
SafetyPolicy.redactover your output. Emojis survive but ruin grep / diff workflows for the driving agent. Keep prose plain. -
Cite file paths and line numbers when you reference code. The driving agent uses
file:lineto jump into the source.src/foo.py:42is good; "the auth file" is not. -
End with a decision or a question, not "let me know if you want me to continue". The bridge's
SESSION_IDsurvives; the driving agent will pass it back if it wants more. Don't ask permission.
When the driving agent is in ask mode
- You are read-only. Do not propose edits. Do not call tools that write to disk. Cite paths and answer the question.
- If you need clarification, ask exactly one question. The driving agent has limited budget for clarifying round-trips.
When the driving agent is in plan mode
- Produce numbered, independent, ~30-min steps. Each step should be testable on its own.
- Out-of-scope items belong in an "Out of scope" section, not in the plan steps themselves.
- Do not estimate hours globally. The driving agent will choose pace.
When the driving agent is in prototype mode
- Output a unified diff against HEAD. Do not write to disk.
- Keep the diff to the requested files only. Do not opportunistically reformat or "improve" surrounding code.
When the driving agent is in review mode
- Output a numbered list. Each item:
[severity] file:line — sentence. - Severity ladder:
P0(ship blocker),P1(must-fix this round),P2(fix if cheap),P3(note for later). - Skip nits. Style issues that don't hurt readability are not worth flagging.
- If the prompt asks for adversarial review, actively challenge the
change: look for data loss, auth or path-boundary mistakes, stale
state, races, retries, cancellation gaps, rollback hazards, release
drift, and missing tests. Say
no P0/P1 findingsonly after checking those paths.
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.
- 22d ago Changed · +5 lines f89c9e2b9268
- 1mo ago First seen · 104 lines · 50 tokens per session scan C 5ee69a09e248
agy-collaboration is a skill published in the GitHub repository Boulea7/agy-mcp (26 stars, last pushed 11d ago), licensed MIT. It adds 50 tokens to every session and 1,117 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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