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 dagba/ios-mcp --skill feature-planninggit clone --depth 1 https://github.com/dagba/ios-mcpWrote 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/dagba/ios-mcp/feature-planning)<a href="https://agentmods.dev/skills/dagba/ios-mcp/feature-planning"><img src="https://agentmods.dev/badge/skills/dagba/ios-mcp/feature-planning.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 | $0.00030 | $0.00841 |
| Opus 5 | $0.00015 | $0.00420 |
| Sonnet 5 | $0.00006 | $0.00168 |
| Haiku 4.5 | $0.00003 | $0.00084 |
Grade A, and why
feature-planning 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feature Planning
Overview
Systematic approach to decompose features into actionable tasks. For senior engineers who know how to code but need a structured thinking framework.
Quick Workflow
1. Requirement Analysis
- Clarify user goal and acceptance criteria
- Identify screens, data flows, integration points
- Ask: API ready? Design assets available? Platform requirements?
2. Choose Architecture
Use architecture-patterns skill to decide:
- Simple (1-2 screens, local state) → MV
- Medium (3-5 screens, business logic) → MVVM
- Complex (state machines, side effects) → TCA
- Enterprise (multi-team) → Clean Architecture
3. Task Breakdown Structure
Phase 1: Foundation
- Models/entities
- API client stubs
- Navigation structure
Phase 2: Core Logic
- ViewModels/Reducers
- Business rules
- State management
Phase 3: UI
- Layouts and components
- Styling and animations
- Loading/error states
Phase 4: Integration
- Wire up ViewModels to Views
- Connect to backend
- Handle edge cases
Phase 5: Quality
- Unit tests (ViewModels, business logic)
- UI tests (critical flows)
- Accessibility audit
4. Risk Assessment
| Risk | Mitigation |
|---|---|
| Unknown APIs | Define contract early, use mocks |
| New technology | POC spike first, allocate learning time |
| Performance concerns | Profile early, plan caching/pagination |
| Tight deadline | Negotiate scope, identify MVP |
5. Estimation
Rule of Thumb: Sum task estimates + 30-50% buffer
Break tasks into <1 day chunks. If a task feels >1 day, decompose further.
Implementation Plan Template
# Feature: [Name]
## Overview
[1-2 sentences: what and why]
## Architecture
Pattern: MVVM
State: @Observable
Navigation: NavigationStack
## Tasks
### Phase 1: Foundation (Day 1)
- [ ] Define models
- [ ] Create API client protocol
- [ ] Setup navigation routes
### Phase 2: Logic (Day 2-3)
- [ ] Implement ViewModels
- [ ] Add validation
- [ ] Handle errors
### Phase 3: UI (Day 4)
- [ ] Build main screen
- [ ] Add animations
- [ ] Loading states
### Phase 4: Testing (Day 5)
- [ ] Unit tests
- [ ] UI tests
## Dependencies
- Backend API: [Status]
- Design: [Link]
- Third-party: [None/List]
## Risks
[Table from Risk Assessment]
## Acceptance Criteria
- [ ] User can [action]
- [ ] Error handling complete
- [ ] Unit test coverage >80%
- [ ] Accessibility labels
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 · 140 lines · 30 tokens per session scan A 01038c2a5e16
feature-planning is a skill published in the GitHub repository dagba/ios-mcp (3 stars, last pushed 7mo ago), licensed MIT. It adds 30 tokens to every session and 841 once invoked, about $0.0002 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.
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