askagy

askagy is a skill for Claude Code, Codex from ShockRock2004/kamar-taj. It costs 85 tokens per session (1,275 once invoked), scanned A, original, MIT.

A skill that asks the separate Antigravity command-line agent, called `agy`, for a second opinion on work in progress.

In plain words
What is it for?
Use it when consulting, cross-checking, or handing a current coding question to Antigravity, provided `agy` is installed.
Why use it?
It provides an independent review or sanity check when another perspective may reveal a problem.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when consulting, cross-checking, or handing a current coding question to Antigravity, provided agy is installed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shockrock2004/kamar-taj/askagy
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.

Any agent
npx skills add ShockRock2004/kamar-taj --skill askagy
Clone the repo
git clone --depth 1 https://github.com/ShockRock2004/kamar-taj

Made for: Claude Code, Codex.

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 askagy

README.md
[![agentmods](https://agentmods.dev/badge/skills/shockrock2004/kamar-taj/askagy.svg)](https://agentmods.dev/skills/shockrock2004/kamar-taj/askagy)
Your own site
<a href="https://agentmods.dev/skills/shockrock2004/kamar-taj/askagy"><img src="https://agentmods.dev/badge/skills/shockrock2004/kamar-taj/askagy.svg" alt="Measured on agentmods" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,275 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00085 $0.01275
Opus 5 $0.00043 $0.00638
Sonnet 5 $0.00017 $0.00255
Haiku 4.5 $0.00009 $0.00128

Measured 8d ago against content hash 313337b3e90f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

askagy 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 8d 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.

askagy/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ask Agy

Overview

agy is the Antigravity CLI — a separate agent process on this machine, reachable non-interactively. It is a cold-start agent: it cannot see this conversation, the files you have open, or anything you already know. Its answer is only as good as the context you hand it in a single string.

Core principle: the prompt is the entire interface. Build it deliberately, then relay the reply as agy's, not your own.

Step 0 — Find agy, or stop

Resolve the binary before doing anything else. First hit wins:

AGY="$(command -v agy 2>/dev/null)"
[ -z "$AGY" ] && [ -x "$HOME/AppData/Local/agy/bin/agy.exe" ] && AGY="$HOME/AppData/Local/agy/bin/agy.exe"
[ -z "$AGY" ] && [ -x "$HOME/.local/bin/agy" ]                && AGY="$HOME/.local/bin/agy"
[ -z "$AGY" ] && [ -x "/usr/local/bin/agy" ]                  && AGY="/usr/local/bin/agy"
echo "${AGY:-NOT_FOUND}"

If it resolves, carry $AGY through every call below. If it prints NOT_FOUND:

Say so plainly and stop. Tell the user the Antigravity CLI is not installed or not on PATH, and that /askagy needs it. Offer to answer the question yourself instead, clearly labelled as your own view rather than a second opinion.

Never fabricate a second opinion. A made-up "agy says…" is worse than no second opinion at all — the entire value of this skill is that the answer came from a different process.

The Prompt Recipe

Write the prompt as these four parts, in this order:

  1. Task framing — one sentence naming the role and the job. "You are reviewing a Python data pipeline for correctness bugs."
  2. Context agy cannot see — the relevant code, error text, file paths, versions, constraints, and what has already been tried and ruled out.
  3. The specific question — one question, sharply stated. Not three loosely related ones.
  4. Output shape — how you want the answer back. "List each bug as: file:line, one-sentence cause, minimal fix." Or "Answer in under 200 words, no preamble."

Read the full file on GitHub · 87 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 87 lines · 85 tokens per session scan A 313337b3e90f

Subscribe to this mod's changes

askagy is a skill published in the GitHub repository ShockRock2004/kamar-taj (4 stars, last pushed 1mo ago), licensed MIT. It adds 85 tokens to every session and 1,275 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

social-post

A workflow for planning, writing, publishing, and evaluating social-media posts in the user's established voice. It covers Facebook, Instagram, YouTube, Threads, and X, including selected comment operations.

Hao0321/claude-skill-social-post · 135 tokens

comfyui

Drive a local ComfyUI install for image, video, and audio generation via its HTTP API. Use WHENEVER generating, rendering, or editing images/video/audio/hero assets with ComfyUI, Z-Image, Ideogram, FLUX, LTX, Wan, or when building, parameterizing, or running ComfyUI workflows. Covers the API client, workflow JSON…

SlavaSexton/ComfyUI-Agent-Kit · 107 tokens

minimax-h3

Use when writing or debugging prompts for MiniMax H3 (Hailuo 3) video-with-audio generation, running the open weights locally in ComfyUI, choosing a quant or an acceleration LoRA for the VRAM you have, wiring reference-to-video with images, video or audio, or when a generated clip produces gibberish speech, drifts off…

SlavaSexton/ComfyUI-Agent-Kit · 102 tokens

hue

Meta-skill that generates new design language skills. Works on Claude Code and Codex. Use when the user says 'create a design skill', 'generate design language', 'new design system skill', 'design skill inspired by X', 'design skill from this screenshot', '/hue', or 'use hue'. Also triggers for 'remix my design skill'…

dominikmartn/hue · 84 tokens

dashmotion

Create dark-themed, animated technical diagrams as self-contained HTML+SVG files — flowcharts whose connectors visibly flow, and architecture diagrams where requests travel as light dots through the system (Diagrid/Temporal landing-page style). Use this skill whenever the user asks for a flowchart, workflow, pipeline…

csthink/dashmotion · 187 tokens

anydesign

Analyze images, websites, and Figma files to extract their design and generate a design.md with token system, component inventory, and reconstruction notes. Use this skill whenever the user wants to understand, document, replicate, or audit the design of something visual: a screenshot, a URL, a Figma link, a Pinterest…

uxKero/anydesign · 214 tokens