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 skeletorflet/opencode-supreme-setup --skill login-flowgit clone --depth 1 https://github.com/skeletorflet/opencode-supreme-setupWrote 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/skeletorflet/opencode-supreme-setup/login-flow)<a href="https://agentmods.dev/skills/skeletorflet/opencode-supreme-setup/login-flow"><img src="https://agentmods.dev/badge/skills/skeletorflet/opencode-supreme-setup/login-flow/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/skeletorflet/opencode-supreme-setup/login-flow"><img src="https://agentmods.dev/badge/skills/skeletorflet/opencode-supreme-setup/login-flow.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 | $0.00009 | $0.00333 |
| Opus 5 | $0.00005 | $0.00167 |
| Sonnet 5 | $0.00002 | $0.00067 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
login-flow 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 7d 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.
What it actually says
Login Flow Skill
A skill for generating mobile-first login and authentication screens. Use this when the user wants a sign-in experience for a mobile app, including phone + SMS verification, password-based login, and social SSO options.
Workflow
- Read reference files first (see below)
- Clarify auth method: phone/SMS, password, or social SSO
- Checklist gate — verify P0 items before emitting
<artifact> - Build the HTML prototype with proper states (default, loading, error)
- Wrap in
<artifact>tag referencing the output file
Side Files
references/checklist.md— P0/P1 acceptance criteria
Output
A single standalone HTML file implementing the login screen with:
- Labels above inputs (never placeholder-only)
- Password field with show/hide toggle
- Social SSO buttons with SVG icons
- Error states below fields
- Loading spinner in primary CTA
- Touch targets minimum 44px
Mobile-First Constraints
- Viewport: 375px wide (iPhone standard)
- No horizontal scroll
- Safe area insets for notched devices
- Input keyboards:
telfor phone,passwordfor password fields
What ships with it
3 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.
- 7d ago First seen · 49 lines · 9 tokens per session scan A e8a05879a495
login-flow is a skill published in the GitHub repository skeletorflet/opencode-supreme-setup (47 stars, last pushed 3mo ago), licensed MIT. It adds 9 tokens to every session and 333 once invoked, about $0.0000 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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