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.
npx agentmods add instructions/samibs/skillfoundry/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.svg" alt="Measured on agentmods" 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 | $0.01274 | $0.01274 |
| Opus 5 | $0.00637 | $0.00637 |
| Sonnet 5 | $0.00255 | $0.00255 |
| Haiku 4.5 | $0.00127 | $0.00127 |
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 today.
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 — 143 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 5.30.0 | Hexa-Platform: Claude Code · Cursor · Copilot · Codex · Gemini · Grok Build | 96 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.
Available Skills by Category
Core Workflow
| Skill | Purpose |
|---|---|
$go |
Main orchestrator — validate PRDs, generate stories, implement |
$coder |
Ruthless TDD implementation with strict quality |
$tester |
Ruthless testing — assumes all code is broken |
$fixer |
Auto-remediation for failing tests and bugs |
$gate-keeper |
Quality gate validation before story completion |
$forge |
Full pipeline: smelt → forge → temper → quench |
$anvil |
6-tier quality gate between agent handoffs |
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.
- today 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 1mo ago), licensed MIT. It adds 1,274 tokens to every session, about $0.0064 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 2026-09-03.
Other instructions, from other repositories
plan-forge dapr.instructions.md
Dapr patterns for .NET — building blocks, component config, sidecar architecture, multi-tenant isolation, workflows, state management, secrets.
plan-forge architecture-principles.instructions.md
Core architecture principles — Architecture-First Approach, Separation of Concerns, TDD, Best Practices over Quick Wins. READ BEFORE any code changes.
plan-forge copilot-instructions.md
Copilot instructions for srnichols/plan-forge, covering instructions for copilot, architecture principles, core principles (non-negotiable), cost estimates and talking to forge-master.
plan-forge testing.instructions.md
Testing rules for Plan Forge — vitest patterns, fake-timers vs tolerance, mocking conventions, and how to read test output without hallucinating failures. Auto-loads when editing test files.
plan-forge auth.instructions.md
.NET authentication & authorization — JWT/OIDC, policy-based auth, multi-tenant isolation, API keys, testing.
plan-forge blazor-fluent-ui.instructions.md
Blazor Server + Microsoft Fluent UI patterns — component layering, state, lifecycle, accessibility. Auto-loads when editing .razor / .razor.cs files.