agy-advisor

agy-advisor is a skill for Claude Code, Codex from iicmaster/antigravity-plugins. It costs 40 tokens per session (903 once invoked), scanned A, original, MIT.

A technical review skill that provides an independent architecture opinion and checks proposed engineering choices using a step-by-step reasoning process.

In plain words
What is it for?
It is used for architecture reviews, comparing solution approaches, checking assumptions, and getting a second opinion from Antigravity CLI and Gemini.
Why use it?
It helps expose trade-offs, constraints, and possible failure modes before a technical decision is made.

Skill for Claude CodeCodex

Part of the agy plugin — 5 skills, 7 commands, 1 agent, 1 MCP server shipped together

Install

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.

agentmods
npx agentmods add skills/iicmaster/antigravity-plugins/agy-advisor
Any agent
npx skills add iicmaster/antigravity-plugins --skill agy-advisor
Clone the repo
git clone --depth 1 https://github.com/iicmaster/antigravity-plugins

Made for: Claude Code, Codex.

Or install agy, the plugin that ships this one along with the rest of its 5 skills, 7 commands, 1 agent, 1 MCP server.

Wrote 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.

agentmods badge for agy-advisor

README.md
[![agentmods](https://agentmods.dev/badge/skills/iicmaster/antigravity-plugins/agy-advisor.svg)](https://agentmods.dev/skills/iicmaster/antigravity-plugins/agy-advisor)
Your own site
<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>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 903 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 4d ago against content hash 41990d7ca7b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

plugins/agy/skills/agy-advisor/SKILL.md · 84 lines

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.

Read the full file on GitHub · 84 lines

Changes

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.

  1. 4d ago First seen · 84 lines · 40 tokens per session scan A 41990d7ca7b0

Subscribe to this mod's changes

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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