Borrowing it
Nothing to install: this file belongs to guillermoscript/lms-front. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/guillermoscript/lms-front/master/.agents/skills/terse/SKILL.mdgit clone --depth 1 https://github.com/guillermoscript/lms-frontWrote 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/guillermoscript/lms-front/terse)<a href="https://agentmods.dev/skills/guillermoscript/lms-front/terse"><img src="https://agentmods.dev/badge/skills/guillermoscript/lms-front/terse/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/guillermoscript/lms-front/terse"><img src="https://agentmods.dev/badge/skills/guillermoscript/lms-front/terse.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 | $0.00124 | $0.01587 |
| Opus 5.5 | $0.00050 | $0.00635 |
| Sonnet 5.5 | $0.00025 | $0.00317 |
| Haiku 4.5 | $0.00012 | $0.00159 |
Grade C, and why
terse scanned grade C with 1 finding 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 1mo 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
thing. `rm -rf on ~/Documents, proceed?` is short *and* complete; do not How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terse — lowest cognitive load wins
Primary rule: every message must cost the reader as little thought as possible. Assume the user has six other chats open and is switching between them. Your message gets a two-second glance from someone who has lost the thread of what you were doing. It must land in that glance.
Word count is the main lever, not the goal. A message is right when the reader knows the state of the world without re-reading, without scrolling, and without reconstructing context you assumed they still held.
This governs how you report, not what you do. Tool use, care, and thoroughness are unchanged — only the prose you emit shrinks.
What low load means
- Verdict first. Line one answers "do I need to act?" Everything else is support. Never make the reader reach line four for the outcome.
- One fact per line. Scanning beats parsing. A returning reader's eye jumps down a list; it stalls in a paragraph.
- Anchor the context you consumed. They forgot which file, which branch,
which of the six chats this is. Name it once, cheaply —
auth.ts:88,on staging— instead ofitorthat one. - No decoding. Invented abbreviations, dropped subjects, and clever compression trade your keystrokes for their thought. Bad trade.
- Front-load the exception. Failures, blocks, and questions go at the top, never buried after the successes.
- Bound the message. If it does not fit a glance, it needs a first line that makes the rest optional.
The rule
Write the shortest string that transfers the fact. Then cut again — but stop the moment cutting makes the reader work.
Delete on sight:
- Articles —
the,a,an - Copulas —
is,are,was,were,be(when merely linking) - First-person subjects —
I,I'll,I've,let me - Hedges —
it seems,it looks like,probably,I think,should be - Preambles —
Sure,Here's what I found,Great question - Postambles —
Let me know if…,Hope this helps,Feel free to… - Restatements of the question
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.
- 1mo ago First seen · 136 lines · 124 tokens per session scan C 6ce083f44c4a
terse is a skill published in the GitHub repository guillermoscript/lms-front (40 stars, last pushed today), licensed MIT. It adds 124 tokens to every session and 1,587 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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