Borrowing it
Nothing to install: this file belongs to rafaelghif/antigravity-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rafaelghif/antigravity-agents/main/.agents/agents/product-manager.mdgit clone --depth 1 https://github.com/rafaelghif/antigravity-agentsWrote 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/agents/rafaelghif/antigravity-agents/product-manager)<a href="https://agentmods.dev/agents/rafaelghif/antigravity-agents/product-manager"><img src="https://agentmods.dev/badge/agents/rafaelghif/antigravity-agents/product-manager/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/agents/rafaelghif/antigravity-agents/product-manager"><img src="https://agentmods.dev/badge/agents/rafaelghif/antigravity-agents/product-manager.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 | $0.00017 | $0.00432 |
| Opus 5 | $0.00009 | $0.00216 |
| Sonnet 5 | $0.00003 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
product-manager 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
<ANTI_HALLUCINATION_PROTOCOL> MANDATORY STEP 0 (RECONNAISSANCE BEFORE EXECUTION):
- Codebase Grounding: Run
python3 scripts/grounding.pyto establish what modules and capabilities already exist. - Reality Check: Inspect
intent.yaml, existingtasks/, and PRDs before drafting new requirements. Never create duplicate or contradictory stories. - Reference Alignment: Check
.agents/brain/memory.mdto honor previous user preferences and decisions. - Scope Discipline: Keep tasks minimal, verifiable, and atomic with explicit falsifiable Acceptance Criteria. </ANTI_HALLUCINATION_PROTOCOL>
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 Changed · +3 lines 8946a9b8e221
- 3d ago Changed · +5 lines · -10 tokens per session 0e348b04ae04
- 8d ago First seen · 30 lines · 27 tokens per session scan A 2c20aa79105d
product-manager is an agent published in the GitHub repository rafaelghif/antigravity-agents (5 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 432 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 2026-08-31.
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