in-your-own-words

in-your-own-words is a skill for Claude Code, Cursor from backnotprop/pstack. It costs 36 tokens per session (72 once invoked), scanned A, a copy of in-your-own-words, MIT.

A small instruction for restating a user's goals and the problem they are trying to solve in your own words.

In plain words
What is it for?
Use it to produce a concise summary of the user's objectives and problem before deciding on a solution.
Why use it?
It checks shared understanding before work begins and can reveal a mismatch between the request and the intended outcome.

Skill for Claude CodeCursor

Written for Claude Code and Cursor: disable-model-invocation in frontmatter, but also shipped in a Cursor plugin.

Part of the pstack plugin — 57 skills, 2 agents shipped together

Good fit Use it to produce a concise summary of the user's objectives and problem before deciding on a solution.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/backnotprop/pstack/in-your-own-words
About the project

pstack is a collection of plain Agent Skills and engineering principles that guide AI-assisted software development across coding agents such as Claude Code, Codex, Pi, Cursor, and OpenCode. It is for developers who want reusable practices for tasks including testing, technical writing, debugging, review, and coordinating agent work. The catalogue entries are the project's skills, agents, and plugin.

backnotprop/pstack · 1,942 stars · on GitHub

Install

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.

Any agent
npx skills add backnotprop/pstack --skill in-your-own-words
Clone the repo
git clone --depth 1 https://github.com/backnotprop/pstack

Made for: Claude Code, Cursor.

Or install pstack, the plugin that ships this one along with the rest of its 57 skills, 2 agents.

Wrote 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.

agentmods badge for in-your-own-words

README.md
[![agentmods](https://agentmods.dev/badge/skills/backnotprop/pstack/in-your-own-words/github.svg)](https://agentmods.dev/skills/backnotprop/pstack/in-your-own-words)
Your own site
<a href="https://agentmods.dev/skills/backnotprop/pstack/in-your-own-words"><img src="https://agentmods.dev/badge/skills/backnotprop/pstack/in-your-own-words/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.

agentmods 80×15 button for in-your-own-words

Your own site · 80×15
<a href="https://agentmods.dev/skills/backnotprop/pstack/in-your-own-words"><img src="https://agentmods.dev/badge/skills/backnotprop/pstack/in-your-own-words.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 72 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 14 Oct 2026
  • Snyk pass 14 Oct 2026
How audits are shown
Origin 86% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00072
Opus 5.5 $0.00014 $0.00029
Sonnet 5.5 $0.00007 $0.00014
Haiku 4.5 $0.00004 $0.00007

Measured yesterday against content hash fa8ba74e27d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

in-your-own-words 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.

Origin

This is a copy

86% identical to in-your-own-words — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/in-your-own-words/SKILL.md · 8 lines

What it actually says

Restate in your own words what you think the user's goals are and what problem they're trying to solve.

Changes

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.

  1. yesterday First seen · 8 lines · 36 tokens per session scan A fa8ba74e27d7

Subscribe to this mod's changes

in-your-own-words is a skill published in the GitHub repository backnotprop/pstack (1,942 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 72 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to in-your-own-words, differing in 1 line, and is treated as a copy.

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