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 espennilsen/pi --skill skill-creatorgit clone --depth 1 https://github.com/espennilsen/piWrote 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/espennilsen/pi/skill-creator)<a href="https://agentmods.dev/skills/espennilsen/pi/skill-creator"><img src="https://agentmods.dev/badge/skills/espennilsen/pi/skill-creator/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/espennilsen/pi/skill-creator"><img src="https://agentmods.dev/badge/skills/espennilsen/pi/skill-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00108 | $0.01913 |
| Opus 5.5 | $0.00043 | $0.00765 |
| Sonnet 5.5 | $0.00022 | $0.00383 |
| Haiku 4.5 | $0.00011 | $0.00191 |
Grade A, and why
skill-creator 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
Create effective, well-structured skills for Pi agents. This skill covers the full lifecycle: planning, scaffolding, writing, validating, and iterating.
Pi implements the Agent Skills standard. Skills work across Pi, Claude Code, and the Anthropic API.
What Is a Skill?
A skill is a folder that teaches an agent how to handle specific tasks:
skill-name/
├── SKILL.md # Required — frontmatter + instructions
├── scripts/ # Optional — executable code (deterministic operations)
├── references/ # Optional — documentation loaded on-demand
└── assets/ # Optional — templates, fonts, icons used in output
Skills are NOT code. They are structured instructions — like an onboarding guide for a new team member who happens to be an AI.
Skill Creation Process
Step 1: Understand the Use Case
Before writing anything, answer these questions:
- What does the user want to accomplish? (concrete outcome)
- What would they say to trigger it? (natural language phrases)
- What steps are involved? (the workflow)
- What does the agent need that it doesn't already know? (domain knowledge, scripts, reference docs)
- What tools does the agent need? (bash, web_fetch, extensions, MCP)
Ask 2-3 clarifying questions if the use case isn't clear. Get concrete examples of how the skill would be used before proceeding.
Step 2: Plan the Skill Contents
For each step in the workflow, decide what belongs where:
| Content type | Where it goes | When to use |
|---|---|---|
| Workflow steps, decisions, guidance | SKILL.md body | Core instructions the agent follows |
| Executable code that's reused | scripts/ |
Deterministic operations, data processing, validation |
| Detailed docs, API refs, schemas | references/ |
Loaded only when the agent needs them |
| Templates, images, boilerplate | assets/ |
Files used in output, not loaded into context |
Key principle: Only include what the agent doesn't already know. Claude is already smart — don't explain how to write Python or use git. Add the domain knowledge, specific workflows, and tribal knowledge that make this task unique.
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 · 221 lines · 108 tokens per session scan A 260264863668
skill-creator is a skill published in the GitHub repository espennilsen/pi (122 stars, last pushed 9d ago), licensed MIT. It adds 108 tokens to every session and 1,913 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 2026-08-30.
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