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 skills add MilkyWay008/Hermes-OTG --skill sketchgit clone --depth 1 https://github.com/MilkyWay008/Hermes-OTGWrote 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/milkyway008/hermes-otg/sketch)<a href="https://agentmods.dev/skills/milkyway008/hermes-otg/sketch"><img src="https://agentmods.dev/badge/skills/milkyway008/hermes-otg/sketch/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/milkyway008/hermes-otg/sketch"><img src="https://agentmods.dev/badge/skills/milkyway008/hermes-otg/sketch.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 | $0.00018 | $0.02402 |
| Opus 5 | $0.00009 | $0.01201 |
| Sonnet 5 | $0.00004 | $0.00480 |
| Haiku 4.5 | $0.00002 | $0.00240 |
Grade A, and why
sketch 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.
This is a copy
100% identical to sketch — 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sketch
Use this skill when the user wants to see a design direction before committing to one — exploring a UI/UX idea as disposable HTML mockups. The point is to generate 2-3 interactive variants so the user can compare visual directions side-by-side, not to produce shippable code.
Load this when the user says things like "sketch this screen", "show me what X could look like", "compare layout A vs B", "give me 2-3 takes on this UI", "let me see some variants", "mockup this before I build".
When NOT to use this
- User wants a production component — use
claude-designor build it properly - User wants a polished one-off HTML artifact (landing page, deck) —
claude-design - User wants a diagram —
excalidraw,architecture-diagram - The design is already locked — just build it
If the user has the full GSD system installed
If gsd-sketch shows up as a sibling skill (installed via npx get-shit-done-cc --hermes), you can use gsd-sketch for the fuller workflow: persistent .planning/sketches/ with MANIFEST, frontier mode analysis, consistency audits across past sketches, and integration with the rest of GSD. This skill is the lightweight standalone version — one-off sketching without the state machinery.
Note: The upstream GSD project (gsd-build/get-shit-done) is archived / no longer maintained on GitHub. The npm package (
get-shit-done-cc) still installs, but treat it as an archived community project — this standalonesketchskill is the maintained path and needs nothing extra.
Core method
intake → variants → head-to-head → pick winner (or iterate)
1. Intake (skip if the user already gave you enough)
Before generating variants, get three things — one question at a time, not all at once:
- Feel. "What should this feel like? Adjectives, emotions, a vibe." — "calm, editorial, like Linear" tells you more than "minimal".
- References. "What apps, sites, or products capture the feel you're imagining?" — actual references beat abstract descriptions.
- Core action. "What's the single most important thing a user does on this screen?" — the variants should all serve this well; if they don't, they're just decoration.
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.
- 12d ago First seen · 221 lines · 18 tokens per session scan A c9472691dbd9
sketch is a skill published in the GitHub repository MilkyWay008/Hermes-OTG (15 stars, last pushed 27d ago), licensed MIT. It adds 18 tokens to every session and 2,402 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 sketch, differing in 0 lines, and is treated as a copy.
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