Borrowing it
Nothing to install: this file belongs to textura-agency/ai-design-vault. 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/textura-agency/ai-design-vault/main/AGENTS.mdgit clone --depth 1 https://github.com/textura-agency/ai-design-vaultWrote 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/textura-agency/ai-design-vault/agents-md)<a href="https://agentmods.dev/instructions/textura-agency/ai-design-vault/agents-md"><img src="https://agentmods.dev/badge/instructions/textura-agency/ai-design-vault/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/textura-agency/ai-design-vault/agents-md"><img src="https://agentmods.dev/badge/instructions/textura-agency/ai-design-vault/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 | $0.01439 | $0.01439 |
| Opus 5.5 | $0.00576 | $0.00576 |
| Sonnet 5.5 | $0.00288 | $0.00288 |
| Haiku 4.5 | $0.00144 | $0.00144 |
Grade B, and why
ai-design-vault AGENTS.md scanned grade B 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 23d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat .claude/stack.json How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Guide — AI Design Vault
A portable build system for immersive, animation-heavy websites, dropped into this project. It does not own the framework; it owns the conventions.
Rule zero — read the stack profile first
.claude/stack.json is the single source of truth for this project's paths,
packages and commands. The vault (obsidian/) tells you how things are done;
stack.json tells you where and with what, here.
cat .claude/stack.json
- Never take a path, an import, or a command from an example in the docs — the docs are framework-neutral and their examples are illustrations.
- If
"adapted": false, run/adaptbefore writing any project code. Nothing below is correctly scoped until it has run. - If reality and
stack.jsondisagree, reality wins: fix the profile in the same turn and say so.
This may not be the framework you know
Frameworks ship breaking changes faster than training data updates. Before
writing routing, metadata, data-fetching or middleware code, verify the current
API against the installed version's own docs (node_modules/<framework>/**,
the project's config files, or the official docs). Heed deprecation notices.
Confidently writing last year's API is the most common failure mode here.
Documentation lives in the vault
All conventions are in the obsidian/ vault — the single source of truth for
how work is done.
Before working, read:
obsidian/README.md— Map of Content (index of every note)obsidian/workflows/ai-agent-guide.md— full rules of engagement- The relevant topic note (e.g.
frontend/motion-system.mdbefore motion work,workflows/new-page.mdbefore building a page)
Commands, skills and agents live in .claude/ and are mapped in
obsidian/workflows/agent-harness.md. Entry points: /adapt, /new-page,
/section, /motion, /qa, /ship, /seo, /cms, /data, /migrate-site.
Notes link each other with [[wikilinks]] — follow them to navigate.
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.
- 23d ago First seen · 108 lines · 1,439 tokens per session scan B fb8f960476d5
ai-design-vault AGENTS.md is an instructions file published in the GitHub repository textura-agency/ai-design-vault (25 stars, last pushed 2mo ago), licensed Unlicense. It adds 1,439 tokens to every session, about $0.0058 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-14.
ai-design-vault AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-design-vault AGENTS.mdtextura-agency/ai-design-vault | Instructions file | 25 | 2mo ago | Unlicense | B | 1,439 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |