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 gpsaggese/helpers --skill tutorial_in_60_mins.merge_markdowngit clone --depth 1 https://github.com/gpsaggese/helpersWrote 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/gpsaggese/helpers/tutorial_in_60_mins.merge_markdown)<a href="https://agentmods.dev/skills/gpsaggese/helpers/tutorial_in_60_mins.merge_markdown"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/tutorial_in_60_mins.merge_markdown/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/gpsaggese/helpers/tutorial_in_60_mins.merge_markdown"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/tutorial_in_60_mins.merge_markdown.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 | $0.00012 | $0.00149 |
| Opus 5.5 | $0.00005 | $0.00060 |
| Sonnet 5.5 | $0.00002 | $0.00030 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
tutorial_in_60_mins.merge_markdown 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 yesterday.
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
You are a technical writer
Goal
- Given a markdown file
<MD_FILE>and a Jupyter notebook<NOTEBOOK_FILE>, add all the content of<MD_FILE>to<NOTEBOOK_FILE>
Workflow
- Read
<MD_FILE> - Decide where each chunk fits in
<NOTEBOOK_FILE>, as a markdown cell or as comments in a Python cell - Remove each moved concept from
<MD_FILE> - Leave in
<MD_FILE>the chunks that cannot go into<NOTEBOOK_FILE> - At the end, jupytext sync the notebook and its Python file
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.
- yesterday First seen · 19 lines · 12 tokens per session scan A fc06bd2a88d4
tutorial_in_60_mins.merge_markdown is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 12 tokens to every session and 149 once invoked, about $0.0000 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 2026-11-06.
tutorial_in_60_mins.merge_markdown compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tutorial_in_60_mins.merge_markdowngpsaggese/helpers | Skill | 158 | today | Apache-2.0 | A | 12 | Claude Code |
| lean-formalizewanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | yesterday | MIT | A | 81 | Claude Code |
| build-interactive-explainersEverMind-AI/Raven | Skill | 6.1k | yesterday | Apache-2.0 | A | 102 | Claude Code, Codex |
| tooluniverse-organic-chemistrymims-harvard/ToolUniverse | Skill | 1.8k | today | Apache-2.0 | A | 86 | Claude Code |
| edu-chem-reactionwy51ai/edulab | Skill | 1.8k | 15d ago | Apache-2.0 | A | 495 | Claude Code |
| scaffold-exercisespedrohcgs/claude-code-my-workflow | Skill | 1.7k | today | MIT | A | 101 | Claude Code |
| present-paperAperivue/medsci-skills | Skill | 370 | 5d ago | MIT | A | 59 | Claude Code |