Borrowing it
Nothing to install: this file belongs to frankxai/awesome-gamification-agent-skills. 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/frankxai/awesome-gamification-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/frankxai/awesome-gamification-agent-skillsWrote 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/frankxai/awesome-gamification-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/frankxai/awesome-gamification-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/frankxai/awesome-gamification-agent-skills/agents-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/frankxai/awesome-gamification-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/frankxai/awesome-gamification-agent-skills/agents-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 | $0.00166 | $0.00166 |
| Opus 5 | $0.00083 | $0.00083 |
| Sonnet 5 | $0.00033 | $0.00033 |
| Haiku 4.5 | $0.00017 | $0.00017 |
Grade A, and why
awesome-gamification-agent-skills AGENTS.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
Repository Instructions
This repo stores research, standards, and Markdown-first skills for gamifying agent work, creator progression, game systems, and Arcanea-compatible mastery loops.
Rules
- Keep research source-linked and distinguish source fact from design inference.
- Prefer Markdown artifacts, YAML frontmatter, JSON schemas, and small reusable templates.
- Do not copy proprietary game text, names, icons, UI layouts, or franchise-specific mechanics. Extract reusable design patterns only.
- Keep Arcanea-specific lore in
docs/arcanea/or clearly marked sections. - Store reusable agent skills in
skills/<skill-name>/SKILL.md. - Store reusable templates in
templates/. - Use ASCII unless a referenced title requires otherwise.
Handoff
Report changed files, validation run, sources used, and unresolved research gaps.
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 · 19 lines · 166 tokens per session scan A 0369a436bcb4
awesome-gamification-agent-skills AGENTS.md is an instructions file published in the GitHub repository frankxai/awesome-gamification-agent-skills (0 stars, last pushed 2d ago), licensed MIT. It adds 166 tokens to every session, about $0.0008 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 2026-09-01.
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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.