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 JAICHANGPARK/workshop-harness --skill workshop-faq-generatorgit clone --depth 1 https://github.com/JAICHANGPARK/workshop-harnessWrote 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/jaichangpark/workshop-harness/workshop-faq-generator)<a href="https://agentmods.dev/skills/jaichangpark/workshop-harness/workshop-faq-generator"><img src="https://agentmods.dev/badge/skills/jaichangpark/workshop-harness/workshop-faq-generator.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 | $0.00052 | $0.00664 |
| Opus 5 | $0.00026 | $0.00332 |
| Sonnet 5 | $0.00010 | $0.00133 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
workshop-faq-generator 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 7d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workshop FAQ Generator Skill
Purpose
Pre-generates a comprehensive, topic-tailored FAQ document (docs/20-faq.md) covering hardware requirements, software installations, API keys, venue network resilience, offline fallbacks, and code debugging. Reduces repetitive attendee Q&A by up to 80% during live workshop sessions.
5 Core FAQ Domains
When auto-generating docs/20-faq.md, the agent must populate questions across 5 core domains:
1. Hardware & Operating System
- Q: What are the minimum RAM and CPU specs required for local LLM labs?
- A: Minimum 8GB RAM for 2B parameter models (
gemma4:e2b). 16GB RAM recommended for 4B parameter models (gemma4:e4b).
- A: Minimum 8GB RAM for 2B parameter models (
- Q: Can I complete the workshop on an Intel Mac or Windows ARM device?
- A: Yes. Intel Mac users will use Ollama CLI mode or Cloud Gemini API. Windows ARM users can use native ARM64 Ollama builds.
2. Software & Package Runtimes
- Q: Do I need Docker installed for this workshop?
- A: Only if vector database container labs are explicitly enabled in the curriculum; otherwise, Python
uvis sufficient.
- A: Only if vector database container labs are explicitly enabled in the curriculum; otherwise, Python
- Q: What is
uvand why are we using it instead ofpiporconda?- A:
uvis an extremely fast Python package and project manager that automatically installs required Python versions and dependencies without manual venv creation.
- A:
3. API Keys & Billing Safety
- Q: Where do I get a free Gemini API Key?
- A: Visit https://aistudio.google.com, sign in with any Google account, and click Get API Key.
- Q: Will I be charged for using Gemini API during the workshop?
- A: Google AI Studio provides a free tier ample for workshop labs.
4. Venue Network & Offline Mode
- Q: What if the venue WiFi drops or becomes congested?
- A: Follow the offline setup guide in
docs/01-hardware-and-env.mdto pre-download model weights (ollama pull gemma4:e4b) before arriving at the venue.
- A: Follow the offline setup guide in
5. Code & Lab Resetting
- Q: I modified starter code and hit syntax errors. How do I reset to a clean state?
- A: Copy the reference code snippet from
workshop/02_final/or rungit checkout workshop/01_starter/.
- A: Copy the reference code snippet from
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.
- 7d ago First seen · 49 lines · 52 tokens per session scan A 49b498d24396
workshop-faq-generator is a skill published in the GitHub repository JAICHANGPARK/workshop-harness (5 stars, last pushed 6d ago), licensed MIT. It adds 52 tokens to every session and 664 once invoked, about $0.0003 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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