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 skills add preset-io/agent-skills --skill preset-embeddinggit clone --depth 1 https://github.com/preset-io/agent-skillsWrote 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/skills/preset-io/agent-skills/preset-embedding)<a href="https://agentmods.dev/skills/preset-io/agent-skills/preset-embedding"><img src="https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-embedding/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/skills/preset-io/agent-skills/preset-embedding"><img src="https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-embedding.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 | $0.00045 | $0.00410 |
| Opus 5 | $0.00023 | $0.00205 |
| Sonnet 5 | $0.00009 | $0.00082 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
preset-embedding 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 11d 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
preset-embedding
Use for embedded dashboard configuration reads and security-sensitive routing.
Always
- Auth and conventions come from
preset-api(JWT exchange, base URLs, Rison); resolve the workspace hostname through the Management API when it is not already known. Consultpreset-supersetonly when permissions drift matters. - Default to embedded configuration reads.
- Route guest-token creation to
preset-guest-tokens. - Route embedded RLS design/review to
preset-embedded-rls. - Require explicit confirmation before embedded config mutations, guest tokens, trusted domain changes, or access-token key changes.
Decision Rules
- Distinguish config reads from trusted-domain mutations, guest-token issuance, and RLS changes.
- Require approval before broadening domains or issuing tokens.
- Route domain, token, and RLS requests to the correct guardrail.
- Avoid mutating embedded configuration.
Workflow Order
- Inspect embedded dashboard configuration.
- Classify domain, token, and RLS request type.
- Prepare approval summary for mutation or token issuance.
- Stop before broadening domains, mutating config, or issuing tokens.
Retrieve
- Embedded dashboard configuration reads: references/embedded-config-reads.md
- Embedded config create/update/delete routing: references/embedded-config-mutations.md
- Trusted domains and origins: references/trusted-domains-and-origins.md
- Guest-token routing: references/guest-tokens.md
- Embedded RLS routing: references/embedded-rls.md
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 39 lines · 45 tokens per session scan A 30bb2643e8a8
preset-embedding is a skill published in the GitHub repository preset-io/agent-skills (11 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 410 once invoked, about $0.0002 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.
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