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 jubscodes/get-shit-pretty --skill gsp-visualsgit clone --depth 1 https://github.com/jubscodes/get-shit-prettyWrote 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/jubscodes/get-shit-pretty/gsp-visuals)<a href="https://agentmods.dev/skills/jubscodes/get-shit-pretty/gsp-visuals"><img src="https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gsp-visuals/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/jubscodes/get-shit-pretty/gsp-visuals"><img src="https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gsp-visuals.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 | $0.00049 | $0.00755 |
| Opus 5 | $0.00024 | $0.00378 |
| Sonnet 5 | $0.00010 | $0.00151 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade A, and why
gsp-visuals scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Input: Domain flag (--imagery, --3d, --video, --textures) + optional --enrich
Output: Domain-specific chunk file
Agent: None — inline skill with structured questioning
<execution_context> @${CLAUDE_SKILL_DIR}/chunk-format.md </execution_context>
Map invocation to domain file:
| Flag | Domain file |
|---|---|
--imagery |
imagery.md |
--3d |
3d.md |
--video |
video.md |
--textures |
textures.md |
Check for --enrich flag (passes through to domain workflow).
Step 1: Pick domain (if no flag)
If no domain flag was provided, use AskUserQuestion:
- Imagery — "photography, illustration, iconography, image treatments"
- 3D / WebGL — "render style, materials, lighting, interactive scenes"
- Video / Motion — "editing style, pacing, transitions, motion graphics"
- Textures / Surfaces — "patterns, grain, gradients, background CSS recipes"
Step 2: Resolve brand/project context
Check what's available:
- Within a brand — read
{BRAND_PATH}/BRIEF.md,{BRAND_PATH}/strategy/archetype.md,{BRAND_PATH}/identity/color-system.mdif they exist. Use brand personality to drive direction. - Within a project — read
{PROJECT_PATH}/brand.ref-> resolve brand -> load above. - Standalone — no brand context. The domain's interactive mode will gather input.
Resolve {BRAND_PATH} and {PROJECT_PATH} by checking for .design/ in the workspace via Glob.
Step 3: Load domain and execute
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 82 lines · 49 tokens per session scan A 06f6275629bf
gsp-visuals is a skill published in the GitHub repository jubscodes/get-shit-pretty (53 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 755 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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