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 ur-grue/autopunk-media-skills --skill basic-statistics-calculatorgit clone --depth 1 https://github.com/ur-grue/autopunk-media-skillsWrote 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/ur-grue/autopunk-media-skills/basic-statistics-calculator)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/basic-statistics-calculator"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/basic-statistics-calculator/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/ur-grue/autopunk-media-skills/basic-statistics-calculator"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/basic-statistics-calculator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00054 | $0.02081 |
| Opus 5 | $0.00027 | $0.01040 |
| Sonnet 5 | $0.00011 | $0.00416 |
| Haiku 4.5 | $0.00005 | $0.00208 |
Grade A, and why
basic-statistics-calculator 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 11d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Basic Statistics Calculator
What This Skill Does
Performs and explains basic statistical calculations — percentages, percentage changes, per-capita rates, averages, medians, and ratios — from data you provide, showing the working so you can verify it and use the figures confidently in a story.
When To Use This Skill
- You have raw numbers from a dataset, report, or public record and need to calculate percentages, rates, or changes for your story
- You want to double-check a statistic before publishing — paste the source figures and have the calculation verified step by step
- You are writing a data-driven story and need to express a finding as a per-capita rate, a percentage change, or a comparison ratio that readers will understand
- You are not confident in your math and want the working shown so you can follow the logic and catch any errors
What You Need To Provide
Required: The raw numbers or data points; the calculation you need (percentage, percentage change, per-capita rate, average, median, ratio, or "tell me what is most useful for this story"); the context — what these numbers represent and where they come from.
Optional: The population or base figure for per-capita calculations; the time period the data covers; the comparison you want to make (year-over-year, city-to-city, before-and-after); the audience level (general public, specialist readers, other journalists); how you plan to use the result (headline figure, in-text comparison, chart label).
How the Assistant Approaches This
-
Confirms the inputs and the ask. Restates the numbers provided, what they represent, and what calculation is being requested. This step catches misunderstandings before any math is done — if the user provided annual figures but asked for a monthly rate, that discrepancy is flagged here.
-
Performs the calculation with full working shown. Every step of the arithmetic is written out in plain language and with the formula. Nothing is hidden in a black box. The journalist can follow each step, check it against the source data, and verify the result independently. Rounding decisions are stated explicitly (e.g., "rounded to one decimal place").
What ships with it
1 file 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.
- 11d ago First seen · 131 lines · 54 tokens per session scan A 25e06caca545
basic-statistics-calculator is a skill published in the GitHub repository ur-grue/autopunk-media-skills (30 stars, last pushed 10d ago), licensed MIT. It adds 54 tokens to every session and 2,081 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 2026-08-30.
Other skills, from other repositories
secure-auth
Secure authentication patterns (OWASP, NIST). Use for login, registration, password reset, sessions, JWT, OAuth, MFA, passkeys.
academic-writing
Scholarly writing and research compliance. Use for CRediT, preregistration, Plan S, Nelson Memo, preprints, ORCID, LLM disclosure.
page-monitoring
Web page change detection, availability tracking, and RSS feed generation. Use to monitor changes, downtime, or make a feed.
web-archiving
Web archiving and retrieval via Wayback Machine and Archive.today. Use to preserve content, reach dead pages, or save evidence.
Malware Analysis & Sandboxing
Static and dynamic malware analysis, YARA rule generation, sandbox configuration, behavioral profiling, and malware family classification.
newsletter-publishing
Email newsletter workflows. Use when creating newsletters, building subscriber lists, designing templates, or tracking engagement.