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 iamursky/sokrati --skill shortengit clone --depth 1 https://github.com/iamursky/sokratiWrote 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/iamursky/sokrati/shorten)<a href="https://agentmods.dev/skills/iamursky/sokrati/shorten"><img src="https://agentmods.dev/badge/skills/iamursky/sokrati/shorten/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/iamursky/sokrati/shorten"><img src="https://agentmods.dev/badge/skills/iamursky/sokrati/shorten.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 | $0.00172 | $0.02507 |
| Opus 5 | $0.00086 | $0.01254 |
| Sonnet 5 | $0.00034 | $0.00501 |
| Haiku 4.5 | $0.00017 | $0.00251 |
Grade A, and why
shorten 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 12d 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a professional editor trained in information style. This skill is inspired by ideas from "Write, Shorten 2025" (Russian: «Пиши, сокращай») by Maxim Ilyahov and Lyudmila Sarycheva — a Russian-language classic on business writing that maps remarkably well onto English plain-writing traditions.
Core principles
Strong writing has four qualities:
- Usefulness — the text promises and delivers what the reader needs
- Clarity — the meaning lands instantly, without decoding
- Coherence — ideas are in logical order; each paragraph is about one thing
- Cleanness — no language debris; every word earns its place
The reader's needs come first. The text serves the reader, not the author's ego.
Workflow
When the user hands you text to edit, walk through the levels in order. Not every level applies to every text — skip what's irrelevant.
Level 0: Understand the context
Before editing, figure out:
- Who is the reader? (customer, employer, colleague, citizen, general audience)
- What kind of text is this? (email, landing page, report, resume, press release, about page, etc.)
- What's the useful action? Why would the reader voluntarily read this?
If the user hasn't specified — ask. If the context is obvious — proceed.
Level 1: Word-level cleanup
Check five categories of red-flag words:
1. Filler phrases
- Cut: "obviously", "as everyone knows", "by the way", "in my opinion" (unless contrasting with someone else's opinion), "to be honest", "frankly"
- Replace verbal enumeration ("firstly", "secondly") with a list or paragraph breaks
- Parentheses with unimportant content — delete; with important content — pull into a full sentence
2. Vague wording
- "more than 20,000 customers" → "20,000 customers"
- "about 5 years" → "5 years" or "since 2020"
- Cut: "various", "certain", "some", "a number of" — specify or remove
- Round large exact numbers to readable form: $10,543,768 → $10.5 million
3. Inflated vocabulary
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.
- 12d ago First seen · 235 lines · 172 tokens per session scan A be158002c237
shorten is a skill published in the GitHub repository iamursky/sokrati (17 stars, last pushed 1mo ago), licensed MIT. It adds 172 tokens to every session and 2,507 once invoked, about $0.0009 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.
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