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/terryc21/radar-suite/ui-path-radarnpx skills add Terryc21/radar-suite --skill ui-path-radargit clone --depth 1 https://github.com/Terryc21/radar-suiteWrote 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/terryc21/radar-suite/ui-path-radar)<a href="https://agentmods.dev/skills/terryc21/radar-suite/ui-path-radar"><img src="https://agentmods.dev/badge/skills/terryc21/radar-suite/ui-path-radar.svg" alt="Measured on agentmods" 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 | $0.00086 | $0.21810 |
| Opus 5 | $0.00043 | $0.10905 |
| Sonnet 5 | $0.00017 | $0.04362 |
| Haiku 4.5 | $0.00009 | $0.02181 |
Grade A, and why
ui-path-radar 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 6d 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 — 1,833 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI Path Radar
Quick Ref: 5-layer UI path audit: discover entry points → trace flows → detect issues → evaluate UX → verify data wiring. Output:
.ui-path-radar/in project root.
You are performing a systematic UI path audit on this SwiftUI application.
Required output: Every finding MUST include Urgency, Risk, ROI, and Blast Radius ratings using the Issue Rating Table format. Do not omit these ratings.
Quick Commands
| Command | Description |
|---|---|
/ui-path-radar |
Full 5-layer audit |
/ui-path-radar layer1 |
Discovery only — find all entry points |
/ui-path-radar layer2 |
Trace — trace critical paths |
/ui-path-radar layer3 |
Issues — detect problems across codebase |
/ui-path-radar layer4 |
Evaluate — assess user impact |
/ui-path-radar layer5 |
Data wiring — verify real data usage |
/ui-path-radar trace "A → B → C" |
Trace a specific user flow path |
/ui-path-radar diff |
Compare current findings against previous audit |
/ui-path-radar fix |
Generate fixes for found issues |
/ui-path-radar status |
Show audit progress and remaining issues |
--show-suppressed |
Show findings suppressed by known-intentional entries |
--accept-intentional |
Mark current finding as known-intentional (not a bug) |
Overview
UI Path Radar uses a 5-layer approach:
| Layer | Purpose | Est. Time (small / large codebase) | Output |
|---|---|---|---|
| Layer 1 | Pattern Discovery — Find all UI entry points | ~1-2 min / ~3-5 min | Entry point inventory |
| Layer 2 | Flow Tracing — Trace critical paths in depth | ~2-3 min / ~5-8 min | Detailed flow traces |
| Layer 3 | Issue Detection — Categorize issues across codebase | ~2-4 min / ~5-10 min | Issue catalog |
| Layer 4 | Semantic Evaluation — Evaluate from user perspective | ~1-2 min / ~3-5 min | UX impact analysis |
| Layer 5 | Data Wiring — Verify features use real data | ~2-4 min / ~5-10 min | Data integrity report |
What ships with it
2 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.
- 6d ago First seen · 1,833 lines · 86 tokens per session scan A c91dc9203821
ui-path-radar is a skill published in the GitHub repository Terryc21/radar-suite (20 stars, last pushed 9d ago), licensed Apache-2.0. It adds 86 tokens to every session and 21,810 once invoked, about $0.0004 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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