Borrowing it
Nothing to install: this file belongs to emrecanozturk/intentflow-ios. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/emrecanozturk/intentflow-ios/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/emrecanozturk/intentflow-iosWrote 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/instructions/emrecanozturk/intentflow-ios/copilot-instructions)<a href="https://agentmods.dev/instructions/emrecanozturk/intentflow-ios/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/emrecanozturk/intentflow-ios/copilot-instructions.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 | $0.00276 | $0.00276 |
| Opus 5 | $0.00138 | $0.00138 |
| Sonnet 5 | $0.00055 | $0.00055 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
intentflow-ios copilot-instructions.md 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.
What it actually says
IntentFlow Copilot Instructions
This repository uses IntentFlow architecture. Treat .intentflow.yaml manifests as source-of-truth contracts for AI-mode features.
When generating or editing code:
- Read
.ai/agent-context.mdand the relevant manifest before touching implementation files. - Model product behavior before UI.
- Add or update
State,Intent,Event,Effect,Output, andRoutebefore writing adapters. - Keep reducers pure. Do not call network, database, analytics, storage, timers, or UI APIs from reducers.
- Put async work in
FlowEffectHandler. - Use
EffectIDfor long-running, repeatable, or replaceable work. - Represent navigation as
Route. - Represent parent communication as
Output. - Keep SwiftUI views and UIKit view controllers as adapters.
- Put display formatting in
FlowProjection. - Add transition tests for every new workflow branch.
- For AI mode, update the
.intentflow.yamlmanifest before changing the Swift contract. - Do not add hidden callbacks when a typed output or route would express the behavior.
- Prefer compact context from
swift run intentflow ai-context <manifest> --tool copilot. - Apply
.github/instructions/*.instructions.mdfor path-specific Swift and documentation rules.
Generated code is incomplete unless it includes tests for the transition it introduces.
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 · 24 lines · 276 tokens per session scan A 695171b8e882
intentflow-ios copilot-instructions.md is an instructions file published in the GitHub repository emrecanozturk/intentflow-ios (10 stars, last pushed 1mo ago), licensed MIT. It adds 276 tokens to every session, about $0.0014 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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