Project_InnerG_Complete_Agency: Skill for Claude Code

.claude/skills/ar-overlay/SKILL.md

ar-overlay is a skill for Claude Code from lamont703/Project_InnerG_Complete_Agency. It costs 87 tokens per session (3,019 once invoked), scanned A, original, no licence file.

A workflow for building and checking an augmented-reality fade overlay, which makes digital graphics fade around a camera view. It covers the geometry, masks and renderer checks used by this feature.

In plain words
What is it for?
Use it when changing the fade geometry, overlay, hair mask or related AR components, and when verifying the trainer.
Why use it?
It helps developers inspect what the renderer draws and avoid relying on guessed measurements or misleading checks.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is lamont703/Project_InnerG_Complete_Agency's own configuration. It tells Claude Code how to work on Project_InnerG_Complete_Agency itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Project_InnerG_Complete_Agency configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lamont703/Project_InnerG_Complete_Agency. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lamont703/Project_InnerG_Complete_Agency/main/.claude/skills/ar-overlay/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/lamont703/Project_InnerG_Complete_Agency

Made for: Claude Code.

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 ar-overlay

README.md
[![agentmods](https://agentmods.dev/badge/skills/lamont703/project_innerg_complete_agency/ar-overlay/github.svg)](https://agentmods.dev/skills/lamont703/project_innerg_complete_agency/ar-overlay)
Your own site
<a href="https://agentmods.dev/skills/lamont703/project_innerg_complete_agency/ar-overlay"><img src="https://agentmods.dev/badge/skills/lamont703/project_innerg_complete_agency/ar-overlay/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.

agentmods 80×15 button for ar-overlay

Your own site · 80×15
<a href="https://agentmods.dev/skills/lamont703/project_innerg_complete_agency/ar-overlay"><img src="https://agentmods.dev/badge/skills/lamont703/project_innerg_complete_agency/ar-overlay.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,019 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 unknown 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 $0.00087 $0.03019
Opus 5.5 $0.00035 $0.01208
Sonnet 5.5 $0.00017 $0.00604
Haiku 4.5 $0.00009 $0.00302

Measured 2mo ago against content hash 2e86d1098e82, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ar-overlay 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.

.claude/skills/ar-overlay/SKILL.md · 248 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 248 lines · 87 tokens per session scan A 2e86d1098e82

Subscribe to this mod's changes

ar-overlay is a skill published in the GitHub repository lamont703/Project_InnerG_Complete_Agency (0 stars, last pushed 1mo ago), with no licence file. It adds 87 tokens to every session and 3,019 once invoked, about $0.0003 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.

Related

ar-overlay compared with skills from other repositories

ar-overlay next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ar-overlaylamont703/Project_InnerG_Complete_AgencySkill01mo agononeA87Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code