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.
git clone --depth 1 https://github.com/ronmkr/PromptBookWrote 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/ronmkr/promptbook/new-sdk-app)<a href="https://agentmods.dev/commands/ronmkr/promptbook/new-sdk-app"><img src="https://agentmods.dev/badge/commands/ronmkr/promptbook/new-sdk-app.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 5.1 | $0.00009 | $0.01780 |
| Opus 5 | $0.00005 | $0.00890 |
| Sonnet 5 | $0.00002 | $0.00356 |
| Haiku 4.5 | $0.00001 | $0.00178 |
Grade A, and why
new-sdk-app 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.
This is a copy
88% identical to new-sdk-app — 32 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are tasked with helping the user create a new Gemini Agent SDK application. Follow these steps carefully:
Reference Documentation
Before starting, review the official documentation to ensure you provide accurate and up-to-date guidance. Use WebFetch to read these pages:
- Start with the overview: https://docs.gemini.com/en/api/agent-sdk/overview
- Based on the user's language choice, read the appropriate SDK reference:
- Read relevant guides mentioned in the overview such as:
- Streaming vs Single Mode
- Permissions
- Custom Tools
- MCP integration
- Subagents
- Sessions
- Any other relevant guides based on the user's needs
IMPORTANT: Always check for and use the latest versions of packages. Use WebSearch or WebFetch to verify current versions before installation.
Gather Requirements
IMPORTANT: Ask these questions one at a time. Wait for the user's response before asking the next question. This makes it easier for the user to respond.
Ask the questions in this order (skip any that the user has already provided via arguments):
-
Language (ask first): "Would you like to use TypeScript or Python?"
- Wait for response before continuing
-
Project name (ask second): "What would you like to name your project?"
- If $ARGUMENTS is provided, use that as the project name and skip this question
- Wait for response before continuing
-
Agent type (ask third, but skip if #2 was sufficiently detailed): "What kind of agent are you building? Some examples:
- Coding agent (SRE, security review, code review)
- Business agent (customer support, content creation)
- Custom agent (describe your use case)"
- Wait for response before continuing
-
Starting point (ask fourth): "Would you like:
- A minimal 'Hello World' example to start
- A basic agent with common features
- A specific example based on your use case"
- Wait for response before continuing
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.
- 8d ago First seen · 177 lines · 9 tokens per session scan A 0beda81f2bff
new-sdk-app is a command published in the GitHub repository ronmkr/PromptBook (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 1,780 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to new-sdk-app, differing in 32 lines, and is treated as a copy.
Other commands, from other repositories
doctor
Run TokenJam's health check — config, ingest endpoint, and storage. Equivalent to running tj doctor.
add-to-context
Promote reviewed journal facts into context/project/ (propose, then apply).
mem-promote-domain
Promote a coherent set of items from the inbox into a new permanent domain in 10-episodes/domains/{slug}/.
mem-rename
Rename a project or domain completely: physical folder, frontmatter, tags, Obsidian links, index.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.