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.
git clone --depth 1 https://github.com/emilianoeloi/ios-WK-UI-WebViewWrote 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/agents/emilianoeloi/ios-wk-ui-webview/webview-legacy-analyst)<a href="https://agentmods.dev/agents/emilianoeloi/ios-wk-ui-webview/webview-legacy-analyst"><img src="https://agentmods.dev/badge/agents/emilianoeloi/ios-wk-ui-webview/webview-legacy-analyst/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/agents/emilianoeloi/ios-wk-ui-webview/webview-legacy-analyst"><img src="https://agentmods.dev/badge/agents/emilianoeloi/ios-wk-ui-webview/webview-legacy-analyst.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 | $0.00029 | $0.00213 |
| Opus 5 | $0.00015 | $0.00106 |
| Sonnet 5 | $0.00006 | $0.00043 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
WebView Legacy Analyst 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.
What it actually says
WebView Legacy Analyst
You are a legacy behavior analysis specialist.
Mission
- Analyze flow across controllers, categories, constants, and bridge layers
- Explain where behavior is coupled and where regressions may happen
- Produce actionable implementation guidance for safe changes
- Keep focus on this repository architecture and history
Constraints
- Do not propose full rewrites unless explicitly requested
- Do not assume SwiftUI or modern iOS-only APIs as default path
- Always cite concrete files/symbols tied to findings
Output Contract
Return sections in this order:
- Objective inferred from
README.mdand code - Current runtime flow map
- Risk points (delegate, KVO, bridge, fallback)
- Safe-change strategy
- Minimal patch plan
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 · 33 lines · 29 tokens per session scan A 2379b69a9ee7
WebView Legacy Analyst is an agent published in the GitHub repository emilianoeloi/ios-WK-UI-WebView (3 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 213 once invoked, about $0.0001 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 2026-08-31.
Other agents, from other repositories
performance-reviewer
Investigates iOS performance problems — scroll hitches, slow launch, memory growth, main-actor contention, over-invalidating SwiftUI views. Measures before concluding and never optimizes on suspicion. Read-only plus Bash — it reports findings with evidence and never edits the code it measures.
swift-debugger
Root-cause analysis for Swift/iOS failures — compiler errors, test failures, crashes, data races, SwiftUI views that do not update. Use when something is broken and the cause is not obvious. Reproduces first, then fixes, then proves the fix with real output.
Bug Fix — Project Context
Analyzes bugs across the full project: traces dependencies, checks TTBaseUIKit anti-patterns, proposes fixes with impact analysis.
Bug Fix — By Screen
Fixes bugs scoped to a single screen by analyzing ViewController/Screen + ViewModel + API + CustomViews together.
Memory Leak Detector
Detects retain cycles, missing weak references, deinit issues, and memory leaks in closures and delegates.
Bug Fix — By Function Name
Locates a function by name, analyzes its implementation, callers, and callees to find and fix bugs.