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 causify-ai/helpers --skill tool_x_in_60_mins.creategit clone --depth 1 https://github.com/causify-ai/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/causify-ai/helpers/tool_x_in_60_mins.create)<a href="https://agentmods.dev/skills/causify-ai/helpers/tool_x_in_60_mins.create"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/tool_x_in_60_mins.create/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/causify-ai/helpers/tool_x_in_60_mins.create"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/tool_x_in_60_mins.create.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 3 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00017 | $0.00743 |
| Opus 5 | $0.00009 | $0.00371 |
| Sonnet 5 | $0.00003 | $0.00149 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
tool_X_in_60_mins.create 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 9d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal
- You are an expert at structuring self-contained, reproducible data-science tutorials
- The user will pass you a
<topic>and a target dir such astutorials/<topic> - Write a "Learn XYZ in 60 Minutes" tutorial for the topic / package
<topic>in the dirtutorials/<topic>
Workflow
Read the Specs and Examples
- Read the spec in
.claude/skills/tool_X_in_60_mins.rules.md
Improve Content of the Tutorial
-
Assume that the user has already created the tutorial directory
tutorials/<topic>following the directions of.claude/skills/tool_X_in_60_mins.rules.md -
In
tutorials/<topic>the files that typically need customization areXYZ_utils.py: Reusable helper functions (no notebook logic)XYZ.API.ipynb: Native API walkthrough (paired with XYZ.API.py)XYZ.API.py: Jupytext percent-format mirrorXYZ.example.ipynb: End-to-end application demo (paired with XYZ.example.py)XYZ.example.py: Jupytext percent-format mirrorrequirements.txt: Python dependencies (pinned versions)README.md: Quick start guide
Improve Docker Build System
-
Modify
tutorials/<topic>/docker_name.sh# The file should be all lower case. IMAGE_NAME=umd_project_<topic> -
Modify
tutorials/<topic>/requirements.txtto include the needed packages -
Customize the Docker build system in
tutorials/<topic>following the instructions from.claude/skills/docker.use_standard_style/SKILL.md
Create Content of the README.md
- Create or improve a file
tutorials/<topic>/README.md - Use as reference:
tutorials/AutoGen/README.mdtutorials/BambooAI/README.mdtutorials/TensorFlow/README.md
- Run
lint_text.py -ito format the README file
Run Docker
- Make sure the system builds by running
> cd tutorials/<topic> > docker_build.sh
Customize the Tests
-
Customize the tests if needed in
tutorials/<topic>/test -
Make sure the test run
> cd tutorials/<topic> > docker_cmd.sh `pytest test`
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.
- 9d ago First seen · 93 lines · 17 tokens per session scan A ee62b8ec2903
tool_X_in_60_mins.create is a skill published in the GitHub repository causify-ai/helpers (145 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 743 once invoked, about $0.0001 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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