Archify is a system that turns codebases or system descriptions into interactive architecture, workflow, sequence, data-flow, and lifecycle diagrams. Developers use it to inspect, review, compare, and share system designs, while its catalogue skill provides the agent workflow for creating and validating those diagrams.
Borrowing it
Nothing to install: this file belongs to tt-a1i/archify. 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/tt-a1i/archify/main/AGENTS.mdgit clone --depth 1 https://github.com/tt-a1i/archifyWrote 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/tt-a1i/archify/agents-md)<a href="https://agentmods.dev/instructions/tt-a1i/archify/agents-md"><img src="https://agentmods.dev/badge/instructions/tt-a1i/archify/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/tt-a1i/archify/agents-md"><img src="https://agentmods.dev/badge/instructions/tt-a1i/archify/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 | $0.00449 | $0.00449 |
| Opus 5.5 | $0.00180 | $0.00180 |
| Sonnet 5.5 | $0.00090 | $0.00090 |
| Haiku 4.5 | $0.00045 | $0.00045 |
Grade A, and why
archify 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 3d 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 — 22 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent instructions
Follow CONTRIBUTING.md for repository changes and REVIEWING.md for reviews.
PR preparation
Before requesting final review, follow the scoped PR improvement check using the project Skills when applicable.
Test selection
Before running tests, read Choose evidence by impact to select coverage for the changed behavior. Use the focused test workflow for local iteration. Before integration, follow Final integration and follow-up to verify CI and reused evidence against the final revision.
Live Archify installations
Install, update, reinstall, or remove a live Archify installation only when the user explicitly requests that action. Repository editing, testing, reviewing, publishing, or syncing does not authorize installation. This applies to Skills CLI, manual ZIP copies, and DSH plugins. Reuse authorization already given for the same action and scope; ask only for unresolved decisions.
- Keep the source, Skill/package, target agents, and global/project scope within the request. Avoid bulk operations or force flags that expand that scope. An update notification is informational.
- Before a Skills CLI install, discover the selected source with
npx -y skills add <source> --list --full-depth(default source:tt-a1i/archify) and verify exactly one Skill namedarchify. For an explicitly requested durable local source, inspect that checkout. Stop on failed or ambiguous discovery. - Use the canonical remote source by default. Use a local source only when requested, from a durable checkout; live symlinks must not point into temporary directories or disposable worktrees.
- Preserve unrelated files and existing unmanaged destinations. Report a destination conflict before replacing it unless that exact replacement is already explicitly authorized; use the installer's documented conflict handling within the approved scope.
- Report the action, source, targets, and result, including skipped or failed destinations. A partial installation is not a complete success.
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.
- 3d ago Changed · +8 lines · +129 tokens per session a8a0343ee59a
- 18d ago First seen · 14 lines · 320 tokens per session scan A dcee7624016a
archify AGENTS.md is an instructions file published in the GitHub repository tt-a1i/archify (84,479 stars, last pushed yesterday), licensed MIT. It adds 449 tokens to every session, about $0.0018 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 2026-09-29.
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.
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.
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).