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 agentmods add skills/guillermoscript/lms-front/distillnpx skills add guillermoscript/lms-front --skill distillgit clone --depth 1 https://github.com/guillermoscript/lms-frontWhat 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 | $0.00023 | $0.01478 |
| Opus 5 | $0.00012 | $0.00739 |
| Sonnet 5 | $0.00005 | $0.00296 |
| Haiku 4.5 | $0.00002 | $0.00148 |
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 2d 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
100% identical to distill — 0 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
Use frontend-design skill
Use the frontend-design skill for design principles and anti-patterns. Do NOT proceed until it has executed and you know all DO's and DON'Ts.
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
-
Find the essence:
- What's the primary user goal? (There should be ONE)
- What's actually necessary vs nice-to-have?
- What can be removed, hidden, or combined?
- What's the 20% that delivers 80% of value?
If any of these are unclear from the codebase, STOP and call the AskUserQuestionTool to clarify.
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.
- 2d ago First seen · 137 lines · 23 tokens per session scan A c81175148eb9
distill is a skill published in the GitHub repository guillermoscript/lms-front (24 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 1,478 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to distill, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
moodle-hooks-api
Use when implementing or migrating to the Moodle 4.4+ Hooks API. Covers hook class authoring (db/hooks.php), callback registration, dispatching, replacing legacy magic callbacks (extendnavigation, beforehttpheaders, etc.), and testing hook listeners.
education-expert
Expert-level education technology, learning management systems, and ed-tech platforms.
agent-newbie-guide
Skill "agent-newbie-guide" from hashgraph-online/awesome-codex-plugins, covering codex 新手引导, 🚫 新手术语过滤（绝对禁止）, 统一行为规范（内嵌）, 📍 阶段位置 and 启动自检.
lab-creator
Guide for creating new AI Gateway labs. Use when users want to create a new lab in the labs/ folder. This skill provides the standard lab structure, templates, and patterns used across the AI Gateway repository including Jupyter notebooks, Bicep infrastructure templates, APIM policies, and README documentation.
prompt-optimize
Expert prompt engineering skill that transforms Claude into "Alpha-Prompt" - a master prompt engineer who collaboratively crafts high-quality prompts through flexible dialogue. Activates when user asks to "optimize prompt", "improve system instruction", "enhance AI instruction", or mentions prompt engineering tasks.
deprecate-workflow-node
当用户需要弃用一个工作流节点（保留向后兼容、隐藏出模板面板）时触发该 skill。FastGPT 工作流节点的弃用流程标准化封装，覆盖模板、Dispatcher、UI 引用等所有需要改动的位置。.