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/vercel-labs/lat.md/agents-mdgit clone --depth 1 https://github.com/vercel-labs/lat.mdWrote 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/vercel-labs/lat.md/agents-md)<a href="https://agentmods.dev/instructions/vercel-labs/lat.md/agents-md"><img src="https://agentmods.dev/badge/instructions/vercel-labs/lat.md/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 | $0.01367 | $0.01367 |
| Opus 5 | $0.00683 | $0.00683 |
| Sonnet 5 | $0.00273 | $0.00273 |
| Haiku 4.5 | $0.00137 | $0.00137 |
Grade A, and why
lat.md 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 yesterday.
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.
This is a copy
86% identical to hermes-desktop AGENTS.md — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
%% lat:begin %%
Before starting work
- Run
lat searchto find sections relevant to your task. Read them to understand the design intent before writing code. - Run
lat expandon user prompts to expand any[[refs]]— this resolves section names to file locations and provides context.
Post-task checklist (REQUIRED — do not skip)
After EVERY task, before responding to the user:
- Update
lat.md/if you added or changed meaningful functionality, architecture, tests, behavior, or planned work. Keep it a focused snapshot of current/planned state, not a journal/changelog. - Run
lat check— all validations must pass - Do not skip these steps. Do not consider your task done until both are complete.
What is lat.md?
This project uses lat.md to maintain a structured knowledge graph of its architecture, design decisions, and test specs in the lat.md/ directory. It is a set of cross-linked markdown files that describe what this project does and why — the domain concepts, key design decisions, business logic, and test specifications. Use it to ground your work in the actual architecture rather than guessing. Do not treat lat.md/ as a journal or changelog; it should be a focused snapshot of current or planned state, and should not grow just to note insignificant details.
Commands
lat locate "Section Name" # find a section by name (exact, fuzzy)
lat refs "file#Section" # find what references a section
lat search "natural language" # semantic search across all sections
lat expand "user prompt text" # expand [[refs]] to resolved locations
lat check # run full graph and documentation validation
Run lat --help when in doubt about available commands or options.
If lat search fails because no API key is configured, explain to the user that semantic search requires a key provided via LAT_LLM_KEY (direct value), LAT_LLM_KEY_FILE (path to key file), or LAT_LLM_KEY_HELPER (command that prints the key). Supported key prefixes: sk-... (OpenAI) or vck_... (Vercel). If the user doesn't want to set it up, use lat locate for direct lookups instead.
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.
- yesterday Changed · +1 lines · +55 tokens per session 430ea7d4bcaf
- 4d ago First seen · 108 lines · 1,312 tokens per session scan A e3f5c1e6f561
lat.md AGENTS.md is an instructions file published in the GitHub repository vercel-labs/lat.md (1,882 stars, last pushed 2d ago), licensed MIT. It adds 1,367 tokens to every session, about $0.0068 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to hermes-desktop AGENTS.md, differing in 15 lines, and is treated as a copy.
Other instructions, from other repositories
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