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 jeremylongworth-source/AgentSkills --skill tutorial-writinggit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote 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/jeremylongworth-source/agentskills/tutorial-writing)<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/tutorial-writing"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/tutorial-writing/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/jeremylongworth-source/agentskills/tutorial-writing"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/tutorial-writing.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 | $0.00050 | $0.00292 |
| Opus 5 | $0.00025 | $0.00146 |
| Sonnet 5 | $0.00010 | $0.00058 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
tutorial-writing 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.
What it actually says
Tutorial Writing
Core Workflow
- Identify the learner, starting point, outcome, prerequisites, and time budget.
- Choose one concrete task and avoid turning the tutorial into a full reference manual.
- Write steps that explain what to do, why it matters, and how to verify the result.
- Include expected output, common failure points, and recovery notes where useful.
- Link to reference docs for deeper details instead of overloading the path.
- End with a finished artifact, working state, or next practical task.
Safety Rules
- Do not include unverified commands or screenshots as proof.
- Do not ask users to paste secrets into examples.
- Do not hide destructive or cost-incurring steps inside a tutorial.
Deliverable Shape
For tutorials, provide:
- Goal and audience
- Prerequisites
- Starting state
- Step-by-step walkthrough
- Expected result
- Verification checks
- Troubleshooting notes
- Next task
References
- Read
references/tutorial-writing-checklist.mdwhen writing or reviewing a tutorial or quickstart.
What ships with it
2 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.
- 8d ago First seen · 45 lines · 50 tokens per session scan A 887cdd6e41df
tutorial-writing is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 9d ago), licensed MIT. It adds 50 tokens to every session and 292 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 2026-09-03.
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