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 raintree-technology/hig-doctor --skill hig-project-contextgit clone --depth 1 https://github.com/raintree-technology/hig-doctorWrote 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/raintree-technology/hig-doctor/hig-project-context)<a href="https://agentmods.dev/skills/raintree-technology/hig-doctor/hig-project-context"><img src="https://agentmods.dev/badge/skills/raintree-technology/hig-doctor/hig-project-context/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/raintree-technology/hig-doctor/hig-project-context"><img src="https://agentmods.dev/badge/skills/raintree-technology/hig-doctor/hig-project-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 26 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00113 | $0.01133 |
| Opus 5 | $0.00056 | $0.00566 |
| Sonnet 5 | $0.00023 | $0.00227 |
| Haiku 4.5 | $0.00011 | $0.00113 |
Grade A, and why
hig-project-context 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- hig-project-context — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apple HIG: Project Context
Create and maintain .claude/apple-design-context.md so other HIG skills can skip redundant questions.
Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
Gathering Context
Before asking questions, auto-discover context from:
- README.md -- Product description, platform targets
- Package.swift / .xcodeproj -- Supported platforms, minimum OS versions, dependencies
- Info.plist -- App category, required capabilities, supported orientations
- Existing code -- Import statements reveal frameworks (SwiftUI vs UIKit, HealthKit, etc.)
- Assets.xcassets -- Color assets, icon sets, dark mode variants
- Accessibility audit -- Grep for accessibility modifiers/attributes
Present findings and ask the user to confirm or correct. Then gather anything still missing:
1. Product Overview
- What does the app do? (one sentence)
- Category (productivity, social, health, game, utility, etc.)
- Stage (concept, development, shipped, redesign)
2. Target Platforms
- Which Apple platforms? (iOS, iPadOS, macOS, tvOS, watchOS, visionOS)
- Minimum OS versions
- Universal or platform-specific?
3. Technology Stack
- UI framework: SwiftUI, UIKit, AppKit, or mixed?
- Architecture: single-window, multi-window, document-based?
- Apple technologies in use? (HealthKit, CloudKit, ARKit, etc.)
4. Design System
- System defaults or custom design system?
- Brand colors, fonts, icon style?
- Dark mode and Dynamic Type support status
5. Accessibility Requirements
- Target level (baseline, enhanced, comprehensive)
- Specific considerations (VoiceOver, Switch Control, etc.)
- Regulatory requirements (WCAG, Section 508)
6. User Context
- Primary personas (1-3)
- Key use cases and environments (desk, on-the-go, glanceable, immersive)
- Known pain points or design challenges
7. Existing Design Assets
- Figma/Sketch files?
- Apple Design Resources in use?
- Existing component library?
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 · 134 lines · 113 tokens per session scan A d9dc586e53e6
hig-project-context is a skill published in the GitHub repository raintree-technology/hig-doctor (126 stars, last pushed 6d ago), licensed MIT. It adds 113 tokens to every session and 1,133 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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