sharpen-intent

sharpen-intent is a skill for Claude Code, Codex from harshitsinghbhandari/domain-expansion. It costs 155 tokens per session (2,211 once invoked), scanned A, original, no licence file.

A guided questioning tool for examining an idea, decision, or plan before acting on it.

In plain words
What is it for?
Use it to sharpen wording, pressure-test a choice, or prepare a plan for action.
Why use it?
It helps reveal unclear assumptions and weak points by asking a few focused questions when you explicitly request a challenge.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to sharpen wording, pressure-test a choice, or prepare a plan for action.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/harshitsinghbhandari/domain-expansion/sharpen-intent
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 harshitsinghbhandari/domain-expansion --skill sharpen-intent
Clone the repo
git clone --depth 1 https://github.com/harshitsinghbhandari/domain-expansion

Made for: Claude Code, Codex.

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 sharpen-intent

README.md
[![agentmods](https://agentmods.dev/badge/skills/harshitsinghbhandari/domain-expansion/sharpen-intent/github.svg)](https://agentmods.dev/skills/harshitsinghbhandari/domain-expansion/sharpen-intent)
Your own site
<a href="https://agentmods.dev/skills/harshitsinghbhandari/domain-expansion/sharpen-intent"><img src="https://agentmods.dev/badge/skills/harshitsinghbhandari/domain-expansion/sharpen-intent/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 sharpen-intent

Your own site · 80×15
<a href="https://agentmods.dev/skills/harshitsinghbhandari/domain-expansion/sharpen-intent"><img src="https://agentmods.dev/badge/skills/harshitsinghbhandari/domain-expansion/sharpen-intent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,211 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.
Origin unknown No closer match found 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 $0.00155 $0.02211
Opus 5 $0.00077 $0.01105
Sonnet 5 $0.00031 $0.00442
Haiku 4.5 $0.00015 $0.00221

Measured 12d ago against content hash 0880c64e49c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sharpen-intent 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.

skills/sharpen-intent/SKILL.md · 121 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

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.

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. 12d ago First seen · 121 lines · 155 tokens per session scan A 0880c64e49c8

Subscribe to this mod's changes

sharpen-intent is a skill published in the GitHub repository harshitsinghbhandari/domain-expansion (2 stars, last pushed 1mo ago), with no licence file. It adds 155 tokens to every session and 2,211 once invoked, about $0.0008 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 2026-08-31.

Related

Other skills, from other repositories

mle-workflow

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

affaan-m/ECC · 44 tokens

autonomous-loops

Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.

affaan-m/ECC · 26 tokens

react-patterns

React 18/19 patterns including hooks discipline, server/client component boundaries, Suspense + error boundaries, form actions, data fetching, state management decision trees, and accessibility-first composition. Use when writing or reviewing React components.

affaan-m/ECC · 49 tokens

content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC · 55 tokens

article-writing

Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.

affaan-m/ECC · 57 tokens

agent-carnet

Use this skill when the user asks to save, recall, find, or organize notes. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check the notebook', 'find in carnet'. Also use proactively when discovering findings worth preserving across sessions.

yamadashy/repomix · 67 tokens