agentforge-py: Instructions file for Codex

AGENTS.md

agentforge-py AGENTS.md is an instructions file for Codex, OpenCode from Scaffoldic/agentforge-py. It costs 2,434 tokens per session, scanned C, original, Apache-2.0.

A set of instructions for AgentForge, a Python framework for building AI agents, organized as a workspace containing separate packages for core contracts and the default runtime. It defines dependency boundaries, coding rules, and patterns reviewers will reject.

In plain words
What is it for?
Use it when adding or changing AgentForge packages, agent orchestration, configuration, storage, testing utilities, or future integrations such as providers, persistence, MCP, observability, and safety.
Why use it?
It helps contributors preserve the separation between stable core interfaces and runtime behavior, avoiding dependencies and design choices that violate the project structure.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

This is Scaffoldic/agentforge-py's own configuration. It tells Codex and OpenCode how to work on agentforge-py itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentforge-py configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Scaffoldic/agentforge-py. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Scaffoldic/agentforge-py/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Scaffoldic/agentforge-py

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for agentforge-py AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/scaffoldic/agentforge-py/agents-md/github.svg)](https://agentmods.dev/instructions/scaffoldic/agentforge-py/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/scaffoldic/agentforge-py/agents-md"><img src="https://agentmods.dev/badge/instructions/scaffoldic/agentforge-py/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.

agentmods 80×15 button for agentforge-py AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/scaffoldic/agentforge-py/agents-md"><img src="https://agentmods.dev/badge/instructions/scaffoldic/agentforge-py/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,434 This file is loaded in full into every session.
When invoked 2,434 The same file — it is already loaded in full.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02434 $0.02434
Opus 5.5 $0.00974 $0.00974
Sonnet 5.5 $0.00487 $0.00487
Haiku 4.5 $0.00243 $0.00243

Measured 2mo ago against content hash b5c99faf8880, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

agentforge-py AGENTS.md scanned grade C with 1 finding 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 2mo 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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- Project-specific instructions go below this line. Survives upgrades. -->
AGENTS.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — agentforge-py

Repository conventions for any AI assistant editing this repo. Tool-agnostic — CLAUDE.md and any future tool-specific rules files defer to this one.

What this repo is

agentforge-py is the Python implementation of AgentForge, an open-source plug-and-play framework for building production AI agents. The repo is a uv workspace with two member packages today:

  • packages/agentforge-core/ — locked contracts (ABCs, value types, production-rails primitives, resolver, testing utilities). No I/O, no third-party SDKs except Pydantic + python-ulid.
  • packages/agentforge/ — default runtime (Agent orchestrator, InMemoryStore, configuration loader). Imports from agentforge-core; never the reverse.

When new modules ship (provider clients, persistence drivers, MCP, observability, safety, etc. — see CHANGELOG.md), each lands as a new directory under packages/. The workspace glob in the root pyproject.toml already covers them.

Hard rules

# Rule Reference
1 agentforge-core imports nothing from agentforge or any other module package. It is the leaf of the dependency graph. dependency policy
2 Contracts in agentforge-core (every ABC + the Finding Protocol + the locked value types) are stable surface. Adding a method to an ABC is a major version bump; adding a field with a safe default is a minor bump. locked contract layer
3 Configuration is data, not code. No dynamic imports from YAML; no Jinja inside config. Env-var interpolation only (${VAR}, ${VAR:default}, ${VAR:?error}, $$ → $). agentforge.config
4 No magic numbers in production code. Every threshold / timeout / limit comes from a Pydantic config model with a documented default. configuration policy
5 Test coverage must be ≥ 90% on every commit. Pre-commit blocks below; CI ratchet rejects regressions on main. .pre-commit-config.yaml + .github/workflows/ci-linux.yml
6 One feature = one branch = one PR. Conventional Commits format (feat:, fix:, docs:, test:, refactor:, chore:, perf:, revert:). PR template
7 Never bypass pre-commit with --no-verify unless the user explicitly authorises it for a specific commit (and the bypass is documented in the commit message). pre-commit policy
8 Type hints everywhere. mypy --strict is the gate. Any only at genuine boundaries (raw provider responses); never to paper over untyped internals. pyproject.toml > [tool.mypy]
9 Async-first. Public methods on locked contracts are async def. Sync callers use the *_sync shims (where exposed) or asyncio.run(). locked contract layer

Read the full file on GitHub · 186 lines

Changes

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.

  1. 2mo ago First seen · 186 lines · 2,434 tokens per session scan C b5c99faf8880

Subscribe to this mod's changes

agentforge-py AGENTS.md is an instructions file published in the GitHub repository Scaffoldic/agentforge-py (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2,434 tokens to every session, about $0.0097 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

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).

microsoft/vscode · 9,715 tokens

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.

vercel/next.js · 7,461 tokens

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).

microsoft/vscode · 5,262 tokens

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.

langchain-ai/langchain · 4,680 tokens

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).

microsoft/vscode · 2,750 tokens

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.

deepseek-ai/deepseek-harness · 4,261 tokens