Borrowing it
Nothing to install: this file belongs to samibs/skillfoundry. 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/samibs/skillfoundry/main/AGENTS.mdgit clone --depth 1 https://github.com/samibs/skillfoundryWrote 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/samibs/skillfoundry/agents-md)<a href="https://agentmods.dev/instructions/samibs/skillfoundry/agents-md"><img src="https://agentmods.dev/badge/instructions/samibs/skillfoundry/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/samibs/skillfoundry/agents-md"><img src="https://agentmods.dev/badge/instructions/samibs/skillfoundry/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 | $0.01811 | $0.01811 |
| Opus 5.5 | $0.00724 | $0.00724 |
| Sonnet 5.5 | $0.00362 | $0.00362 |
| Haiku 4.5 | $0.00181 | $0.00181 |
Grade A, and why
skillfoundry 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SkillFoundry Framework — Agent Instructions for OpenAI Codex
Version 5.32.0 | Hexa-Platform: Claude Code · Cursor · Copilot · Codex · Gemini · Grok Build | 98 Skills | 20 MCP Tool Agents
What This Is
SkillFoundry (Agents & Skills) is a production-ready AI development framework with 60 specialized agents covering the full software development lifecycle. This file provides always-on context for OpenAI Codex CLI.
Philosophy
- Cold-blooded logic over flattery — Honest, structured, production-ready evaluations only
- ONLY REAL LOGIC — No placeholders, TODOs, mocks, or stubs. Every feature works end-to-end
- Three-Layer Completeness — Every feature verified across DATABASE → BACKEND → FRONTEND
- PRD-First Development — Non-trivial features start with a Product Requirements Document
- Implement > Test > Iterate — Every feature tested before considered done
How to Use Skills
Each SkillFoundry agent is available as a Codex Skill in .agents/skills/. Invoke explicitly or let Codex auto-select based on your prompt.
Explicit invocation:
$go # Execute all PRDs from genesis/
$coder # TDD implementation
$tester # Run tests
$anvil # 6-tier quality gate
$forge # Full pipeline
$architect # System design
Implicit activation: Codex auto-selects the right skill when your prompt matches a skill's description.
Multi-Agent Execution
When Codex runs parallel agents, subagents, or parallel implementation work, read and follow
MULTI_AGENT_PROTOCOL.md (operational module: agents/_governed-mission-protocol.md).
The protocol is authoritative for: dependency-aware waves · agent naming · git worktree isolation ·
worktree legitimacy checks · the .ai/ JSON execution ledger · process ownership · source patch
guides · evidence and provenance · test-cost coordination · publication verification.
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 · +22 lines · +212 tokens per session 75296b4b9bb9
- 1mo ago Changed · +30 lines · +325 tokens per session 252b8a8d9ecf
- 1mo ago First seen · 143 lines · 1,274 tokens per session scan A 8d07607f6705
skillfoundry AGENTS.md is an instructions file published in the GitHub repository samibs/skillfoundry (12 stars, last pushed 25d ago), licensed MIT. It adds 1,811 tokens to every session, about $0.0072 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 2026-09-03.
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.