ios-app-analysis

ios-app-analysis is a skill for Codex from termio-sh/termio. It costs 62 tokens per session (1,315 once invoked), scanned A, original, MIT.

An investigation workflow for an installed iOS app, its paired Mac companion, and the Termio application. It gathers verified device and app details, examines connection and rendering behaviour, and can carry findings into a requested fix.

In plain words
What is it for?
Use it for iPhone app reverse engineering, binary inspection, companion-protocol investigation, connection problems, rendering issues, or terminal display problems.
Why use it?
It separates evidence about the target app, its companion, and Termio instead of assuming they work the same way. It also avoids relying on stale device identifiers or unverified build information.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md.

Good fit Use it for iPhone app reverse engineering, binary inspection, companion-protocol investigation, connection problems, rendering issues, or terminal display problems.

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Install with agentmods
npx agentmods add skills/termio-sh/termio/ios-app-analysis
Install

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.

Any agent
npx skills add termio-sh/termio --skill ios-app-analysis
Clone the repo
git clone --depth 1 https://github.com/termio-sh/termio

Made for: Codex.

Wrote 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.

agentmods badge for ios-app-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/termio-sh/termio/ios-app-analysis/github.svg)](https://agentmods.dev/skills/termio-sh/termio/ios-app-analysis)
Your own site
<a href="https://agentmods.dev/skills/termio-sh/termio/ios-app-analysis"><img src="https://agentmods.dev/badge/skills/termio-sh/termio/ios-app-analysis/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.

agentmods 80×15 button for ios-app-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/termio-sh/termio/ios-app-analysis"><img src="https://agentmods.dev/badge/skills/termio-sh/termio/ios-app-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,315 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.01315
Opus 5.5 $0.00025 $0.00526
Sonnet 5.5 $0.00012 $0.00263
Haiku 4.5 $0.00006 $0.00131

Measured 4d ago against content hash eebf2dab75cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ios-app-analysis 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 4d 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.

skills/ios-app-analysis/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

iOS app analysis

Investigate a concrete behavior and carry the finding through to a fix when requested. Distinguish the target iOS app, its Mac companion, and Termio: evidence from one does not establish another's implementation.

Establish the running versions

Read the repository's AGENTS.md and check the working tree before editing. Discover the device and installed app instead of reusing an old device ID or application path:

xcrun devicectl list devices --json-output /tmp/ios-analysis-devices.json
xcrun devicectl device info apps --device "$device_id" \
  --json-output /tmp/ios-analysis-apps.json
uv tool run --from pymobiledevice3 pymobiledevice3 apps query "$bundle_id"

Use the JSON results, filtered to the requested app. Record its bundle ID, executable, version, build, signing identity, and bundle location. A builtByDeveloper flag alone does not establish debugger access: Rex's TestFlight build reported that flag, while its signing identity was TestFlight distribution.

When no device is available, ask for connection/trust or work from an existing artifact. Check command help for the installed tool version. Prefer the existing pairing; don't replace it merely to get logs.

Choose an accessible source of evidence

  • For a supplied .ipa or .app, inspect the bundle and executable directly. Use file, otool -L, otool -l, nm, swift-demangle, and targeted strings searches. Check Mach-O encryption information before promising useful disassembly. A decompiler reconstructs approximate code, not the original Swift source.
  • devicectl device copy from and pymobiledevice3 apps pull expose supported file domains, usually app data. An installed bundle path from metadata does not make its executable accessible through those domains. If an executable pull returns not-found or denied, report the limit rather than repeating it with invented paths. Look for a local build, an accessible companion, or a user-supplied artifact.
  • A Mac companion can reveal shared types and wire messages. Label those as Mac-binary findings. Type and field names suggest architecture; they do not prove control flow. Prefer a live API contract or runtime trace to confirm it.
  • Use an available REA/decompiler workflow for a relevant accessible binary. Check its installed tools and instructions first. REA does not by itself provide access to an iPhone's app executable. Avoid installing a large tool stack when a protocol query or targeted inspection answers the question.

Read the full file on GitHub · 120 lines

Files

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.

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.

  1. 4d ago First seen · 120 lines · 62 tokens per session scan A eebf2dab75cc

Subscribe to this mod's changes

ios-app-analysis is a skill published in the GitHub repository termio-sh/termio (751 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 1,315 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-31.

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