Borrowing it
Nothing to install: this file belongs to catuscio/gh-stars-classifier-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/catuscio/gh-stars-classifier-skill/main/GEMINI.mdgit clone --depth 1 https://github.com/catuscio/gh-stars-classifier-skillWrote 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/instructions/catuscio/gh-stars-classifier-skill/gemini-md)<a href="https://agentmods.dev/instructions/catuscio/gh-stars-classifier-skill/gemini-md"><img src="https://agentmods.dev/badge/instructions/catuscio/gh-stars-classifier-skill/gemini-md/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/instructions/catuscio/gh-stars-classifier-skill/gemini-md"><img src="https://agentmods.dev/badge/instructions/catuscio/gh-stars-classifier-skill/gemini-md.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 | $0.00188 | $0.00188 |
| Opus 5 | $0.00094 | $0.00094 |
| Sonnet 5 | $0.00038 | $0.00038 |
| Haiku 4.5 | $0.00019 | $0.00019 |
Grade A, and why
gh-stars-classifier-skill GEMINI.md 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 9d 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.
What it actually says
GitHub Stars Classifier — Gemini CLI entry
Gemini CLI reads this file automatically. The actual workflow is defined in
AGENTS.md and imported below — one source of truth across every supported
CLI agent.
@AGENTS.md
Gemini-specific setup
Before invoking any bash command from the imported workflow, make sure the
root resolver can find the scripts/ directory. The simplest path is to
cd into the clone first:
cd /path/to/gh-stars-classifier-skill
gemini # opens with this directory as the working root
or export the variable explicitly:
export GH_STARS_CLASSIFIER_ROOT=/path/to/gh-stars-classifier-skill
Then ask Gemini to "organize my GitHub stars." It will execute the five-phase workflow above, pausing at each [CONFIRM] checkpoint.
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.
- 9d ago First seen · 28 lines · 188 tokens per session scan A d85e54c373bd
gh-stars-classifier-skill GEMINI.md is an instructions file published in the GitHub repository catuscio/gh-stars-classifier-skill (9 stars, last pushed 4mo ago), licensed MIT. It adds 188 tokens to every session, about $0.0009 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.