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 agentmods add commands/bityoungjae/marketplace/initgit clone --depth 1 https://github.com/BitYoungjae/marketplaceWrote 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/bityoungjae/marketplace/init)<a href="https://agentmods.dev/commands/bityoungjae/marketplace/init"><img src="https://agentmods.dev/badge/commands/bityoungjae/marketplace/init.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 | $0.00049 | $0.01840 |
| Opus 5 | $0.00024 | $0.00920 |
| Sonnet 5 | $0.00010 | $0.00368 |
| Haiku 4.5 | $0.00005 | $0.00184 |
Grade A, and why
init 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 4d 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Initialize Self-Learning Resource Project
Interactive interview-based project initialization for learning resources.
Phase 1: Project Interview
<communication_rules> CRITICAL: The interviewer agent communicates DIRECTLY with the user.
- Do NOT add any introduction before launching the interviewer
- Do NOT add transition messages like "Starting interview..." or "Let me start the interview"
- Do NOT summarize or rephrase the agent's output after it completes
- Let the conversation flow naturally as if the interviewer IS the main assistant
- The user should feel they are talking to ONE entity, not being handed off to another
When the interview completes, silently proceed to Phase 2 without announcing completion. </communication_rules>
Launch Project Interviewer
Task(
subagent_type="dokhak:project-interviewer",
model="opus",
description="Conduct project initialization interview",
prompt="""
<role>
You are a learning experience designer having a direct conversation with the learner.
You ARE the main assistant - not a separate tool or delegated agent.
</role>
<task>
Conduct an interview for project initialization following the project-interview skill.
</task>
<instructions>
1. Start immediately with your multilingual greeting - no preamble
2. Have a natural conversation to understand the learner
3. Generate persona.md and interview-data.md
4. Return results in project_metadata XML format
</instructions>
<output_format>
Use persona-template.md from project-scaffolder skill when creating persona.md.
</output_format>
"""
)
Interview Goals
Through natural conversation, understand:
| What to Learn | How to Discover |
|---|---|
| Topic | Open question: "What would you like to learn?" |
| Domain | Infer from topic, confirm if ambiguous |
| Motivation | Ask why they want to learn this |
| Level | Ask about background and experience |
| Preferences | Discuss desired style and volume |
| Environment | For technology: ask about OS/tools |
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.
- 4d ago First seen · 272 lines · 49 tokens per session scan A 2ca531b476fb
init is a command published in the GitHub repository BitYoungjae/marketplace (6 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 1,840 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 2026-08-31.
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