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 nativ3ai/hermes-agent-camel --skill sketchgit clone --depth 1 https://github.com/nativ3ai/hermes-agent-camelWrote 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/nativ3ai/hermes-agent-camel/sketch)<a href="https://agentmods.dev/skills/nativ3ai/hermes-agent-camel/sketch"><img src="https://agentmods.dev/badge/skills/nativ3ai/hermes-agent-camel/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/nativ3ai/hermes-agent-camel/sketch"><img src="https://agentmods.dev/badge/skills/nativ3ai/hermes-agent-camel/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 | $0.02268 |
| Opus 5 | $0.00009 | $0.01134 |
| Sonnet 5 | $0.00004 | $0.00454 |
| Haiku 4.5 | $0.00002 | $0.00227 |
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 8d 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
84% identical to sketch — 9 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 — 218 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), prefer gsd-sketch for the full 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.
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.
Reflect each answer briefly before the next question. If the user already gave you all three upfront, skip straight to variants.
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.
- 8d ago First seen · 218 lines · 18 tokens per session scan A c6281df359af
sketch is a skill published in the GitHub repository nativ3ai/hermes-agent-camel (196 stars, last pushed 4mo ago), licensed MIT. It adds 18 tokens to every session and 2,268 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to sketch, differing in 9 lines, and is treated as a copy.
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