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/rightnow-ai/openfang/agents-mdgit clone --depth 1 https://github.com/RightNow-AI/openfangWrote 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/rightnow-ai/openfang/agents-md)<a href="https://agentmods.dev/instructions/rightnow-ai/openfang/agents-md"><img src="https://agentmods.dev/badge/instructions/rightnow-ai/openfang/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 | $0.00049 | $0.00049 |
| Opus 5 | $0.00024 | $0.00024 |
| Sonnet 5 | $0.00010 | $0.00010 |
| Haiku 4.5 | $0.00005 | $0.00005 |
Grade A, and why
openfang 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 4d 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
Health Stack
- typecheck: cargo build --workspace --lib
- lint: cargo clippy --workspace --all-targets -- -D warnings
- test: cargo test --workspace
- shell: shellcheck scripts/install.sh
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.
- 4d ago First seen · 7 lines · 49 tokens per session scan A 59a9876b13e5
openfang AGENTS.md is an instructions file published in the GitHub repository RightNow-AI/openfang (18,162 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 49 tokens to every session, about $0.0002 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 2026-08-30.
Other instructions, from other repositories
pydantic-ai AGENTS.md
AGENTS.md instructions for pydantic/pydantic-ai, covering your primary responsibility is to the project and its users, gathering context on the task, ensuring the task is ready for implementation, philosophy and requirements of all contributions.
waku-agent CLAUDE.md
Instructions for ShenSeanChen/waku-agent, covering waku-agent — working conventions, architecture map (file ↔ diagram box), rules and commands.
commonly CLAUDE.md
Claude Code instructions for Team-Commonly/commonly, covering claude.md / agents.md, 🧠 product vision & architecture philosophy, what commonly is, the architecture model and key concepts.
CrewClaw AGENTS.md
Instructions for staruhub/CrewClaw, covering agents.md, project, boundaries (charter, 2026-07-10), commands and employee package rules.
clawrun CLAUDE.md
Instructions for clawrun-sh/clawrun, covering claude.md — clawrun, what this is, repo structure, package responsibilities and packages/cli (clawrun).
openaccountants CLAUDE.md
Claude Code instructions for openaccountants/openaccountants, covering openaccountants — agent instructions, for ai agents landing here, repository overview, skill file conventions and audit flash point convention.