pi-agent-embedding

pi-agent-embedding is a skill for Claude Code from romiluz13/pi-agent-skills. It costs 77 tokens per session (362 once invoked), scanned A, original, MIT.

Guidance for embedding Pi’s agent runtime into an application, including how messages, tools, prompts, and event notifications move through an agent session.

In plain words
What is it for?
Use it when building on the Agent class, handling agent events, subscribing to updates, configuring tool execution, or debugging tool loops alongside Pi’s language-model package.
Why use it?
It helps you connect an agent to your application correctly and understand the order of events during tool-using conversations.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pi-skill plugin — 11 skills shipped together

Good fit Use it when building on the Agent class, handling agent events, subscribing to updates, configuring tool execution, or debugging tool loops alongside Pi’s language-model package.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/romiluz13/pi-agent-skills/pi-agent-embedding
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.

Any agent
npx skills add romiluz13/pi-agent-skills --skill pi-agent-embedding
Clone the repo
git clone --depth 1 https://github.com/romiluz13/pi-agent-skills

Made for: Claude Code.

Or install pi-skill, the plugin that ships this one along with the rest of its 11 skills.

Wrote 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.

agentmods badge for pi-agent-embedding

README.md
[![agentmods](https://agentmods.dev/badge/skills/romiluz13/pi-agent-skills/pi-agent-embedding/github.svg)](https://agentmods.dev/skills/romiluz13/pi-agent-skills/pi-agent-embedding)
Your own site
<a href="https://agentmods.dev/skills/romiluz13/pi-agent-skills/pi-agent-embedding"><img src="https://agentmods.dev/badge/skills/romiluz13/pi-agent-skills/pi-agent-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.

agentmods 80×15 button for pi-agent-embedding

Your own site · 80×15
<a href="https://agentmods.dev/skills/romiluz13/pi-agent-skills/pi-agent-embedding"><img src="https://agentmods.dev/badge/skills/romiluz13/pi-agent-skills/pi-agent-embedding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 362 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00077 $0.00362
Opus 5 $0.00039 $0.00181
Sonnet 5 $0.00015 $0.00072
Haiku 4.5 $0.00008 $0.00036

Measured 8d ago against content hash fd0ad5d2c819, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

pi-agent-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 8d 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.

pi-skills/pi-agent-embedding/SKILL.md · 26 lines

What it actually says

Pi agent embedding (@mariozechner/pi-agent-core)

Grounding

  1. pi-mono/packages/agent/README.md — Agent options, event tables, tool parallel vs sequential, convertToLlm / transformContext flow diagram.
  2. pi-mono/packages/coding-agent/examples/sdk/ — integration patterns (README.md index + numbered examples).
  3. pi-mono/packages/coding-agent/docs/sdk.md — higher-level SDK documentation when present.

Invariants

  • Event ordering and barrier behavior (message_end before tool preflight) are specified in pi-mono/packages/agent/README.md; cite that file instead of restating from memory.

Workflows

  • Pick integration depth: README Quick Start vs full examples/sdk/ depending on user needs; always point to concrete example filenames under pi-mono/packages/coding-agent/examples/sdk/.

Anti-patterns

  • Do not merge pi-coding-agent session semantics with core Agent without reading agent-session.ts when the question is about the CLI harness specifically — route CLI questions to pi-cli-workspace after citing boundaries from READMEs.
Files

What ships with it

1 file 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.

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. 8d ago First seen · 26 lines · 0 tokens per session scan A fd0ad5d2c819

Subscribe to this mod's changes

pi-agent-embedding is a skill published in the GitHub repository romiluz13/pi-agent-skills (18 stars, last pushed 4mo ago), licensed MIT. It adds 77 tokens to every session and 362 once invoked, about $0.0004 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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