Borrowing it
Nothing to install: this file belongs to d4rkNinja/arcforge. 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/d4rkNinja/arcforge/main/AGENTS.mdgit clone --depth 1 https://github.com/d4rkNinja/arcforgeWrote 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/d4rkninja/arcforge/agents-md)<a href="https://agentmods.dev/instructions/d4rkninja/arcforge/agents-md"><img src="https://agentmods.dev/badge/instructions/d4rkninja/arcforge/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/d4rkninja/arcforge/agents-md"><img src="https://agentmods.dev/badge/instructions/d4rkninja/arcforge/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 | $0.01290 | $0.01290 |
| Opus 5.5 | $0.00516 | $0.00516 |
| Sonnet 5.5 | $0.00258 | $0.00258 |
| Haiku 4.5 | $0.00129 | $0.00129 |
Grade A, and why
arcforge 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Instructions for Coding Agents
Purpose
This repository publishes portable Agent Skills for production system architecture. Core behavior belongs in the portable skill format and must remain usable across compatible runtimes.
Portable skills live under skills/*/. Each skill must remain usable by Claude Code, Codex, and other Agent Skills-compatible runtimes without depending on a vendor-specific control plane.
Required workflow
- Read the affected
SKILL.mdand its linked references completely. - Add or update a runtime-neutral behavioral case before changing observable behavior, then review it with an approved target model.
- Keep skill frontmatter valid and make the directory name equal to the frontmatter
name. - Keep each primary
SKILL.mdat 500 lines or fewer; move deep material intoreferences/, reusable forms intoassets/, and worked calibration artifacts intoexamples/. - Preserve the exact headings
## Output Contractand## Stop Conditionsin each primary skill. - Run portable skill discovery and perform the repository review checklist before claiming completion.
- Read full output and report any unrun agent-specific or behavioral verification honestly.
Portable skill rules
- Use only the shared Agent Skills frontmatter fields unless a runtime-specific field is clearly optional and isolated.
- Keep portable
SKILL.mdfrontmatter tonameanddescription; place Codex UI metadata in the optionalagents/openai.yamlfile. - Keep installation and activation compatible with the shared Agent Skills format across supported runtimes.
- Keep descriptions specific enough for implicit activation and include concrete trigger words.
- Reference supporting files with paths relative to the skill directory.
- Keep skill behavior in natural-language instructions, references, examples, and reusable Markdown assets.
- Protect secrets, tokens, personal data, and runtime state from repository content.
Architecture content rules
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.
- 1mo ago Changed · +1 lines · +39 tokens per session 8c6cedcde40f
- 1mo ago First seen · 88 lines · 1,251 tokens per session scan A b24c521fbdd0
arcforge AGENTS.md is an instructions file published in the GitHub repository d4rkNinja/arcforge (16 stars, last pushed 1mo ago), licensed MIT. It adds 1,290 tokens to every session, about $0.0052 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 2026-08-30.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.