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 agentmods add commands/xiaolai/cc-suite/agygit clone --depth 1 https://github.com/xiaolai/cc-suiteWhat 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 | $0.00016 | $0.00585 |
| Opus 5 | $0.00008 | $0.00293 |
| Sonnet 5 | $0.00003 | $0.00117 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
agy 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 2d 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.
What it actually says
/cc-suite:agy
Send a prompt to Antigravity CLI (agy) through the cc-suite runner. This is
the direct Claude → agy delegation surface; it is separate from Codex-backed
audit and implementation commands.
User Input
$ARGUMENTS
Workflow
Step 1: Parse the request
Extract these optional flags from $ARGUMENTS and leave the remaining text as
the prompt:
--model <name>— pass the complete model display name, including effort suffixes such asGemini 3.1 Pro (High)--sandbox <read-only|workspace-write|danger-full-access>— defaultread-only--backgroundor--wait— default--wait--resume <conversation-id>— continue a prior agy conversation
If the prompt is empty, ask the user what they want agy to do and stop if they do not provide one.
Step 2: Choose a model when needed
If --model was omitted, run:
bash "${CLAUDE_PLUGIN_ROOT}/scripts/agy-preflight.sh"
If preflight returns an error, report its error and error_code and stop.
Otherwise use default_model. Do not ask for a reasoning-effort setting: agy
encodes effort in the model display name.
Step 3: Run the request
Follow commands/shared/agy-call.md and invoke:
node "${CLAUDE_PLUGIN_ROOT}/scripts/agy-runner.mjs" \
--kind agy \
--model "{chosen_model}" \
--sandbox {chosen_sandbox} \
--timeout-ms 900000 \
{--background if selected} \
{--resume "{conversation_id}" if selected} \
--summary "agy: {short prompt summary}" \
-- "{prompt}"
Parse the single JSON object from stdout. For a foreground call, display
rawOutput, jobId, status, and threadId. For a background call, return
the queued jobId and tell the user to use /cc-suite:status,
/cc-suite:result, or /cc-suite:cancel.
On failed or stalled, report the error and job id. Do not retry the same
request automatically; the runner has already recorded the diagnostic log.
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.
- 2d ago First seen · 73 lines · 16 tokens per session scan A 6331c3be3064
agy is a command published in the GitHub repository xiaolai/cc-suite (44 stars, last pushed 24d ago), licensed ISC. It adds 16 tokens to every session and 585 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
Other commands, from other repositories
claude-flow-swarm
Coordinate multi-agent swarms for complex tasks.
bootstrap
PACT session-start ritual — identify the session team (platform-provisioned), secretary spawn, paused-state surface, bootstrap marker.
ox-session-review
Command "ox-session-review" from sageox/ox, covering failure-mode watch-list (read first), from the ledger root. should print 0, phase 1 — scan & score (read-only), quality buckets (first match wins) and removal candidates.
add-agent
引导新增一个 Agent 适配器。用法 /add-agent.
handoff
Package current state for the next agent.
xdo
Direct development by the Main Agent.