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 commands/ariegoldkin/claude-forge/embeddingsgit clone --depth 1 https://github.com/ArieGoldkin/claude-forgeWrote 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/commands/ariegoldkin/claude-forge/embeddings)<a href="https://agentmods.dev/commands/ariegoldkin/claude-forge/embeddings"><img src="https://agentmods.dev/badge/commands/ariegoldkin/claude-forge/embeddings.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 | $0.00054 | $0.00085 |
| Opus 5 | $0.00027 | $0.00043 |
| Sonnet 5 | $0.00011 | $0.00017 |
| Haiku 4.5 | $0.00005 | $0.00009 |
Grade A, and why
embeddings 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.
What it actually says
embeddings
Invoking skill: atk:embeddings
Follow the instructions in the embeddings skill exactly.
$ARGUMENTS
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 First seen · 12 lines · 54 tokens per session scan A 7425b923dd17
embeddings is a command published in the GitHub repository ArieGoldkin/claude-forge (5 stars, last pushed 26d ago), licensed MIT. It adds 54 tokens to every session and 85 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 2026-08-31.
Other commands, from other repositories
agent
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
create-task-list.template
This prompt was authored for Claude-style slash workflows. In Codex runtime, adapt tool calls as follows.
landing-page-toggle.template
This prompt was authored for Claude-style slash workflows. In Codex runtime, adapt tool calls as follows.
ccasp-panel.template
This prompt was authored for Claude-style slash workflows. In Codex runtime, adapt tool calls as follows.
proofrag
Evaluate a RAG/LLM app — generate a golden set, judge it, and produce a scorecard.
qdrant-scaling
Directly invoke the qdrant-scaling skill, bypassing natural-language trigger matching.