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-brand-refinegit 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-brand-refine)<a href="https://agentmods.dev/skills/jubscodes/get-shit-pretty/gsp-brand-refine"><img src="https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gsp-brand-refine/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-brand-refine"><img src="https://agentmods.dev/badge/skills/jubscodes/get-shit-pretty/gsp-brand-refine.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 | $0.00000 | $0.01917 |
| Opus 5 | $0.00000 | $0.00958 |
| Sonnet 5 | $0.00000 | $0.00383 |
| Haiku 4.5 | $0.00000 | $0.00192 |
Grade A, and why
gsp-brand-refine 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 11d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill modifies {brand-name}.yml — the single source of truth for brand tokens, patterns, constraints, effects, and intensity. If the user's feedback is strategic ("make the tone more playful") or narrative ("the brand story feels off"), redirect to /gsp-brand-strategy or /gsp-brand-identity.
Input: Natural language feedback (e.g., "accent is too muted", "make buttons rounder", "more motion")
Output: Updated {brand-name}.yml + regenerated STYLE.md (if exists) + {brand-name}.theme.json (regenerated) + REFINE-LOG.md
Agent: None — inline skill, surgical edits
<execution_context> </execution_context>
Extract feedback from the user's input (everything after /gsp-brand-refine).
If no feedback provided, use AskUserQuestion: "What would you like to adjust? (e.g., 'accent is too muted', 'heading font feels too heavy', 'spacing too tight')"
Resolve brand from .design/branding/ (one → use it, multiple → ask). Set BRAND_PATH.
Find the brand's .yml file: scan {BRAND_PATH}/patterns/ for a .yml file that is NOT in foundations/ or components/. If not found: "No brand style found. Run /gsp-brand-guidelines first."
Also check if {BRAND_PATH}/patterns/STYLE.md exists (will need regeneration after changes).
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.
- 11d ago First seen · 185 lines · 0 tokens per session scan A 540c6963a2f1
gsp-brand-refine is a skill published in the GitHub repository jubscodes/get-shit-pretty (54 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,917 tokens. 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 2026-08-30.
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