embed

A macOS command that creates on-device text embeddings for files in a folder. Embeddings are numerical representations that help software compare the meaning of text.

In plain words
What is it for?
Use it to warm the shared cache used by vault-grep, vault-cluster, and vault-consilience, while seeing progress for each file.
Why use it?
It prepares the folder for faster meaning-based search and clustering without using a cloud service or a language model.

Command

Install

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.

agentmods
npx agentmods add commands/esaruoho/apple/embed
Clone the repo
git clone --depth 1 https://github.com/esaruoho/apple
Per session 70 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 117 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00070 $0.00117
Opus 5 $0.00035 $0.00059
Sonnet 5 $0.00014 $0.00023
Haiku 4.5 $0.00007 $0.00012

Measured yesterday against content hash 1389ee1bd0b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

embed 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.

commands/embed.md · 10 lines

What it actually says

Warm a corpus for semantic search. Live progress per file. Deterministic, no LLM in the loop.

/Users/esaruoho/work/apple/bin/embed $ARGUMENTS
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. yesterday First seen · 10 lines · 70 tokens per session scan A 1389ee1bd0b9

Subscribe to this mod's changes

embed is a command published in the GitHub repository esaruoho/apple (11 stars, last pushed 5d ago), licensed MIT. It adds 70 tokens to every session and 117 once invoked, about $0.0003 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.