Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/iicmaster/antigravity-pluginsnpx agentmods add skills/iicmaster/antigravity-plugins/agy-advisorWrote 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/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/iicmaster/antigravity-plugins/agy-advisor"><img src="https://agentmods.dev/badge/skills/iicmaster/antigravity-plugins/agy-advisor.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 | $0.00040 | $0.00903 |
| Opus 5.5 | $0.00016 | $0.00361 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (7 stars, last pushed 9d ago), licensed MIT. It adds 40 tokens to every session and 903 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 2026-08-31.
agy-advisor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agy-advisoriicmaster/antigravity-plugins | Skill | 7 | 9d ago | MIT | A | 40 | Claude Code |
| autoreviewopenclaw/clawhub | Skill | 9.5k | today | MIT | A | 17 | Claude Code, Codex |
| agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills | Skill | 2.2k | 3d ago | MIT | A | 115 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 49 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 947 | 4d ago | MIT | A | 84 | Claude Code |
| explore-unknownsdzhng/skills | Skill | 1.5k | yesterday | MIT | A | 162 | Claude Code, Codex |
| re0-mergeLilMGenius/paperthin | Skill | 1.4k | today | MIT | A | 51 | Claude Code, Codex |