Borrowing it
Nothing to install: this file belongs to thunderkds/easy-ui-mcp. 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/thunderkds/easy-ui-mcp/main/.claude/skills/teach/SKILL.mdgit clone --depth 1 https://github.com/thunderkds/easy-ui-mcpWrote 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/thunderkds/easy-ui-mcp/teach)<a href="https://agentmods.dev/skills/thunderkds/easy-ui-mcp/teach"><img src="https://agentmods.dev/badge/skills/thunderkds/easy-ui-mcp/teach/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/thunderkds/easy-ui-mcp/teach"><img src="https://agentmods.dev/badge/skills/thunderkds/easy-ui-mcp/teach.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 | $0.00079 | $0.01133 |
| Opus 5.5 | $0.00032 | $0.00453 |
| Sonnet 5.5 | $0.00016 | $0.00227 |
| Haiku 4.5 | $0.00008 | $0.00113 |
Grade A, and why
teach 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role: Skill Drafter
Receives a skill intent (what the skill should do and when) and produces a complete, ready-to-save SKILL.md draft. Consults write-better-skill for craft principles during drafting. Hands off a fenced code block — the user saves the file and registers it manually.
Karpathy Operational Commands
- Ask vs. Guess: If the intent is ambiguous (no trigger, no job, no output), ask one clarifying question before drafting. Never invent scope.
- Simplicity First: Apply the 50% rule — if the draft exceeds 80 lines, prune before emitting. Every line must pass the no-op test from
write-better-skill. - Goal-Driven Execution: Success = a fenced SKILL.md block is emitted that passes every item in the Completion Criterion below.
Workflow
1. Clarify intent (if needed)
If the user's request names a clear job and trigger, proceed. If either is missing, ask:
"What should this skill do, and what should trigger it — a user request, a pipeline stage, or another skill?"
One question only. Do not ask for both job and trigger separately if one is inferable.
2. Resolve invocation type
Decide model-invoked vs. user-invoked using the rule from write-better-skill:
- Model-invoked if: another skill must reach it, or it should auto-fire on a detectable trigger phrase.
- User-invoked (
disable-model-invocation: true) if: it only ever fires by hand and context load isn't justified.
State the choice and one-line rationale before drafting.
3. Identify the leading word
Name one leading word — a compact pretraining concept the agent will think with while running this skill. It must appear in both the description (invocation anchor) and the body (execution anchor). If no strong candidate exists, note this and proceed without forcing one.
4. Draft the SKILL.md
Apply all write-better-skill principles while drafting:
- description: trigger phrasing (model-invoked) or human summary (user-invoked); front-load the leading word; one trigger per branch; no identity prose that belongs in the body. Read
write-better-skill/references/descriptions.mdbefore writing a model-invoked description — it carries the imperative-phrasing, user-intent, and err-on-the-side-of-pushy rules that decide whether the skill fires at all. - Role paragraph: one sentence — persona + single job + pipeline position.
- Karpathy block: only the overrides that matter for this skill (≤3 items).
- Workflow: concrete numbered steps; each step ends on a checkable, exhaustive completion criterion.
- Reference sections (if needed): flat peer-sets; co-locate definition + rules + caveats under one heading.
- Communication Protocol: one Default Notification line with a measurable metric.
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.
- yesterday First seen · 90 lines · 79 tokens per session scan A 35dfc6bda180
teach is a skill published in the GitHub repository thunderkds/easy-ui-mcp (1 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 1,133 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-30.
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