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 skills/iicmaster/antigravity-plugins/agy-advisornpx skills add iicmaster/antigravity-plugins --skill agy-advisorgit clone --depth 1 https://github.com/iicmaster/antigravity-pluginsWrote 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/iicmaster/antigravity-plugins/agy-advisor)<a href="https://agentmods.dev/skills/iicmaster/antigravity-plugins/agy-advisor"><img src="https://agentmods.dev/badge/skills/iicmaster/antigravity-plugins/agy-advisor.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.00903 |
| Opus 5 | $0.00020 | $0.00451 |
| Sonnet 5 | $0.00008 | $0.00181 |
| Haiku 4.5 | $0.00004 | $0.00090 |
Grade A, and why
agy-advisor 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 4d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGY Advisor (agy-advisor)
Use this skill when you need an independent second opinion, architectural sound-check, or cross-model sanity check from Google Antigravity (agy / Gemini) powered by Sequential Thinking (sqthink) before committing to a technical direction.
🧠 The Sequential Thinking (sqthink) Advisory Framework
When analyzing complex technical questions, agy-advisor executes a rigorous 5-step cognitive reasoning pipeline:
flowchart LR
S1["1. Deconstruct Invariants<br>& Problem Context"] --> S2["2. Branch Solution Paths<br>& Form Hypotheses"]
S2 --> S3["3. Stress-Test 2nd-Order Effects<br>& Failure Modes"]
S3 --> S4["4. Evidence Synthesis<br>& Path Elimination"]
S4 --> S5["5. Decision Matrix<br>& Actionable Verdict"]
1. Intent & Invariant Deconstruction (ถอดแกนความต้องการ)
- Isolate the core engineering problem from surface-level symptoms.
- Identify non-negotiable constraints (Performance SLA, memory footprint, security boundaries, zero-dependency requirements).
2. Solution Path Branching (แตกทางเลือกอย่างน้อย 2-3 เส้นทาง)
- Do not settle on the first obvious idea. Formulate distinct architectural approaches:
- Path A (Minimalist/Native): Built with existing tools/Node built-ins without new deps.
- Path B (Established Pattern): Standard industry-standard library/design pattern.
- Path C (Specialized/Advanced): Tailored custom optimization.
3. Adversarial Stress-Testing & Second-Order Effects (วิเคราะห์จุดตายและผลกระทบต่อเนื่อง)
- What happens under high concurrency or network timeout?
- What are the operational overheads and long-term maintenance costs?
- What hidden failure modes exist if upstream services crash?
4. Evidence Synthesis & Falsification (หักล้างและคัดกรองด้วยหลักฐาน)
- Actively attempt to falsify assumptions using codebase evidence and benchmark constraints.
5. Structured Decision Matrix & Verdict (สรุปและฟันธงทิศทาง)
- Deliver a clear comparison table and an actionable recommendation.
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.
- 4d ago First seen · 84 lines · 40 tokens per session scan A 41990d7ca7b0
agy-advisor is a skill published in the GitHub repository iicmaster/antigravity-plugins (6 stars, last pushed 12d ago), licensed MIT. It adds 40 tokens to every session and 903 once invoked, about $0.0002 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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