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 1234567mm/hermes-howto --skill lesson-quizgit clone --depth 1 https://github.com/1234567mm/hermes-howtoWrote 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/1234567mm/hermes-howto/lesson-quiz)<a href="https://agentmods.dev/skills/1234567mm/hermes-howto/lesson-quiz"><img src="https://agentmods.dev/badge/skills/1234567mm/hermes-howto/lesson-quiz/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/1234567mm/hermes-howto/lesson-quiz"><img src="https://agentmods.dev/badge/skills/1234567mm/hermes-howto/lesson-quiz.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 | $0.00060 | $0.01741 |
| Opus 5.5 | $0.00024 | $0.00696 |
| Sonnet 5.5 | $0.00012 | $0.00348 |
| Haiku 4.5 | $0.00006 | $0.00174 |
Grade A, and why
lesson-quiz 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 — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lesson Quiz
Interactive quiz that tests understanding of a specific Hermes Agent module with 8 questions, provides per-question feedback, and identifies areas to review.
Instructions
Step 1: Determine the Lesson
If the user provided a lesson as an argument (e.g., /lesson-quiz memory or /lesson-quiz 02), map it to the lesson directory:
Topic slug mapping:
| Slug | Module | Description |
|---|---|---|
quickstart |
01-quickstart | Getting started with Hermes Agent |
memory |
02-memory | Persistent context and memory management |
skills |
03-skills | Reusable capabilities and skill configuration |
delegation |
04-delegation | Task delegation and subagents |
mcp |
05-mcp | MCP server integration |
voice |
06-voice | Voice interaction mode |
messaging |
07-messaging-gateway | Messaging platform integrations |
cron |
08-cron | Scheduled tasks and automation |
soul-personality |
09-soul-personality | Personality configuration |
toolsets |
10-toolsets | Tool collections |
plugins |
11-plugins | Plugin system |
checkpoints |
12-checkpoints | Session snapshots and recovery |
providers |
13-providers | AI provider configuration |
context-refs |
14-context-refs | Context reference syntax |
Number mapping:
| Number | Slug |
|---|---|
| 01 | quickstart |
| 02 | memory |
| 03 | skills |
| 04 | delegation |
| 05 | mcp |
| 06 | voice |
| 07 | messaging |
| 08 | cron |
| 09 | soul-personality |
| 10 | toolsets |
| 11 | plugins |
| 12 | checkpoints |
| 13 | providers |
| 14 | context-refs |
If no argument was provided, present a selection prompt using natural language:
可用的 quiz topic:
01 · quickstart 07 · messaging
02 · memory 08 · cron
03 · skills 09 · soul-personality
04 · delegation 10 · toolsets
05 · mcp 11 · plugins
06 · voice 12 · checkpoints
13 · providers
14 · context-refs
请输入 topic 名称或编号(例如:memory, 02, mcp)。
What ships with it
15 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.
- quiz-generator.py 5.1 KB runs code
- topics/checkpoints.yaml 4.6 KB
- topics/context-refs.yaml 4.7 KB
- topics/cron.yaml 4.0 KB
- topics/delegation.yaml 3.2 KB
- topics/mcp.yaml 3.5 KB
- topics/memory.yaml 5.4 KB
- topics/messaging.yaml 4.4 KB
- topics/plugins.yaml 4.3 KB
- topics/providers.yaml 4.4 KB
- topics/quickstart.yaml 3.9 KB
- topics/skills.yaml 3.2 KB
- topics/soul-personality.yaml 4.9 KB
- topics/toolsets.yaml 4.5 KB
- topics/voice.yaml 3.0 KB
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 · 246 lines · 60 tokens per session scan A fb4a6b60af33
lesson-quiz is a skill published in the GitHub repository 1234567mm/hermes-howto (9 stars, last pushed 6mo ago), licensed MIT. It adds 60 tokens to every session and 1,741 once invoked, about $0.0002 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.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.