Skillry GEMINI.md

Repository instructions for Gemini CLI, an AI command-line coding assistant, in the FluxonLab/Skillry project.

In plain words
What is it for?
Use them when working on Skillry with Gemini CLI and needing to follow that repository's development and safety rules.
Why use it?
They give Gemini project-specific rules for inspecting code, engineering practices, and security.

Instructions file for Gemini CLI

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 instructions/fluxonlab/skillry/gemini-md
Clone the repo
git clone --depth 1 https://github.com/FluxonLab/Skillry

Made for: Gemini CLI.

Per session 2,017 This file is loaded in full into every session.
When invoked 2,017 The same file — it is already loaded in full.
Security scan C 1 finding. Scan, not verified.
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 $0.02017 $0.02017
Opus 5 $0.01009 $0.01009
Sonnet 5 $0.00403 $0.00403
Haiku 4.5 $0.00202 $0.00202

Measured 2d ago against content hash c613615492ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

Skillry GEMINI.md scanned grade C with 1 finding 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 2d 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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- GENERATED from CLAUDE.md by tools/build-agent-instructions.py — do not edit directly. -->
GEMINI.md · 154 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. 2d ago First seen · 154 lines · 2,017 tokens per session scan C c613615492ae

Subscribe to this mod's changes

Skillry GEMINI.md is an instructions file published in the GitHub repository FluxonLab/Skillry (2 stars, last pushed 4d ago), with no licence file. It adds 2,017 tokens to every session, about $0.0101 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.