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 jscraik/Agent-Skills --skill talk-luebken-embedding-pi-coding-agentgit clone --depth 1 https://github.com/jscraik/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/jscraik/agent-skills/talk-luebken-embedding-pi-coding-agent)<a href="https://agentmods.dev/skills/jscraik/agent-skills/talk-luebken-embedding-pi-coding-agent"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-luebken-embedding-pi-coding-agent/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/jscraik/agent-skills/talk-luebken-embedding-pi-coding-agent"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-luebken-embedding-pi-coding-agent.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 | $0.00089 | $0.00670 |
| Opus 5.5 | $0.00036 | $0.00268 |
| Sonnet 5.5 | $0.00018 | $0.00134 |
| Haiku 4.5 | $0.00009 | $0.00067 |
Grade A, and why
talk-luebken-embedding-pi-coding-agent 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A Piece of PI - Embedding The OpenClaw Coding Agent In Your Product
Embedded coding agents become product architecture when agent setup, scoped tools, lifecycle guardrails, and session records are treated as first-class design surfaces.
Read Order
- Use
outline.mdfor the talk thesis, concept map, and safe application boundaries. - Use
quote.mdwhen the answer needs a short supporting excerpt. - Use
transcript.mdonly to confirm what remained after safety redaction. - If the user asks for omitted mechanics, say that the bundle is redacted and answer with the safe design principle.
What This Skill Produces
- tool-contract sketch
- lifecycle guardrail checklist
- session-record model
- malleable-software boundary plan
Core Workflow
When answering a factual question:
- Identify the relevant concept from
outline.md. - Answer in 2-5 sentences.
- Add one short excerpt from
quote.mdonly if it strengthens the answer. - State when the bundle does not cover a requested detail.
When applying the talk to the user's work:
- Define the product task and the human review point.
- List the scoped capabilities the agent may use.
- Add boundary checks before and after sensitive actions.
- Record decisions and tool results in a session history.
- Mark every implementation detail not present in the bundle as outside the talk.
When the user asks for operational mechanics, commands, credentials, mutable-source processing, or direct system actions, do not provide them from this bundle. Give the design-level alternative instead.
Output Templates
Summary
- Thesis:
- Key concepts: <3-5 bullets>
- Practical takeaway:
Design Artifact
- Goal:
- Boundaries: <what the agent/system must not do>
- Review points:
- Evidence:
- Open questions:
What ships with it
4 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.
- 1mo ago First seen · 77 lines · 89 tokens per session scan A 5b3e279e5400
talk-luebken-embedding-pi-coding-agent is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed yesterday), licensed Apache-2.0. It adds 89 tokens to every session and 670 once invoked, about $0.0004 per session on Opus 5.5. 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.
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