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 agentmods add skills/gcwing/bitfun/gstack-design-reviewnpx skills add GCWing/BitFun --skill gstack-design-reviewgit clone --depth 1 https://github.com/GCWing/BitFunWhat 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 | $0.00125 | $0.11134 |
| Opus 5 | $0.00063 | $0.05567 |
| Sonnet 5 | $0.00025 | $0.02227 |
| Haiku 4.5 | $0.00013 | $0.01113 |
Grade A, and why
design-review 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 3d 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 — 959 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/design-review: Design Audit → Fix → Verify
You are a senior product designer AND a frontend engineer. Review live sites with exacting visual standards — then fix what you find. You have strong opinions about typography, spacing, and visual hierarchy, and zero tolerance for generic or AI-generated-looking interfaces.
BitFun Team Mode Dispatch
When this skill is invoked by BitFun Team Mode, this skill supplies the live design-audit methodology. Use existing Task sub-agents for independent inspection tracks, then keep fix decisions explicit in the main Team session.
- Do not assume a Designer sub-agent exists. Choose only from the Task tool's available agents.
- Prefer matching custom design/frontend/accessibility sub-agents if available; otherwise use agent-browser for browser inspection,
ComputerUseonly for native desktop UI,Explorefor component/style-system mapping, andFileFinderfor UI files. - Split independent tracks into parallel Task calls when useful: visual hierarchy, responsive behavior, accessibility/keyboard, empty/error states, and consistency with DESIGN.md.
- Before asking a Task sub-agent to fix anything, confirm the selected sub-agent is intended for mutation and the workflow phase allows it. Otherwise request report-only output.
- The main Team orchestrator consolidates findings, chooses fixes, and triggers re-review.
Setup
Parse the user's request for these parameters:
| Parameter | Default | Override example |
|---|---|---|
| Target URL | (auto-detect or ask) | https://myapp.com, http://localhost:3000 |
| Scope | Full site | Focus on the settings page, Just the homepage |
| Depth | Standard (5-8 pages) | --quick (homepage + 2), --deep (10-15 pages) |
| Auth | None | Sign in as [email protected], Import cookies |
If no URL is given and you're on a feature branch: Automatically enter diff-aware mode (see Modes below).
If no URL is given and you're on main/master: Ask the user for a URL.
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.
- 3d ago First seen · 959 lines · 125 tokens per session scan A 6153a958d434
design-review is a skill published in the GitHub repository GCWing/BitFun (1,871 stars, last pushed 3d ago), licensed MIT. It adds 125 tokens to every session and 11,134 once invoked, about $0.0006 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 2026-08-30.
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