Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/wpgaurav/claude-code-skillsnpx agentmods add skills/wpgaurav/claude-code-skills/distillWrote 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/wpgaurav/claude-code-skills/distill)<a href="https://agentmods.dev/skills/wpgaurav/claude-code-skills/distill"><img src="https://agentmods.dev/badge/skills/wpgaurav/claude-code-skills/distill.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.01603 |
| Opus 5 | $0.00012 | $0.00801 |
| Sonnet 5 | $0.00005 | $0.00321 |
| Haiku 4.5 | $0.00002 | $0.00160 |
Grade A, and why
distill 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 6d 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.
This is a copy
73% identical to distill — 28 lines 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.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adapted from impeccable by Paul Bakaus, used under the Apache License 2.0. Modified for this collection; see NOTICE.md for what changed.
Remove unnecessary complexity from designs, revealing the essential elements and creating clarity through ruthless simplification.
MANDATORY PREPARATION
Context Gathering (Do This First)
You cannot do a great job without having necessary context, such as target audience (critical), desired use-cases (critical), and understanding what's truly essential vs nice-to-have for this product.
Attempt to gather these from the current thread or codebase.
- If you don't find exact information and have to infer from existing design and functionality, you MUST STOP and STOP and call the AskUserQuestionTool to clarify. whether you got it right.
- Otherwise, if you can't fully infer or your level of confidence is medium or lower, you MUST STOP and call the AskUserQuestionTool to clarify. clarifying questions first to complete your context.
Do NOT proceed until you have answers. Simplifying the wrong things destroys usability.
Load design guidelines when available
If a design-guidelines skill is installed (Anthropic's frontend-design, impeccable's /impeccable commands, or the project's own design system), load it first for principles and anti-patterns. If none is available, continue with the defaults in this file. Do not stop the task because a companion skill is missing.
Assess Current State
Analyze what makes the design feel complex or cluttered:
- Identify complexity sources:
- Too many elements: Competing buttons, redundant information, visual clutter
- Excessive variation: Too many colors, fonts, sizes, styles without purpose
- Information overload: Everything visible at once, no progressive disclosure
- Visual noise: Unnecessary borders, shadows, backgrounds, decorations
- Confusing hierarchy: Unclear what matters most
- Feature creep: Too many options, actions, or paths forward
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.
- 6d ago First seen · 140 lines · 23 tokens per session scan A d87432f2c1fe
distill is a skill published in the GitHub repository wpgaurav/claude-code-skills (3 stars, last pushed 16d ago), licensed MIT. It adds 23 tokens to every session and 1,603 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 73% identical to distill, differing in 28 lines, and is treated as a copy.
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