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 ComeOnOliver/skillshub --skill axiom-core-data-diaggit clone --depth 1 https://github.com/ComeOnOliver/skillshubWrote 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/comeonoliver/skillshub/axiom-core-data-diag)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-core-data-diag"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-core-data-diag/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/comeonoliver/skillshub/axiom-core-data-diag"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-core-data-diag.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 | $0.00050 | $0.07476 |
| Opus 5 | $0.00025 | $0.03738 |
| Sonnet 5 | $0.00010 | $0.01495 |
| Haiku 4.5 | $0.00005 | $0.00748 |
Grade A, and why
axiom-core-data-diag scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
let results = try! context.fetch(request) How it starts
The opening of the file, as written. The whole thing — 922 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Core Data Diagnostics & Migration
Overview
Core Data issues manifest as production crashes from schema mismatches, mysterious concurrency errors, performance degradation under load, and data corruption from unsafe migrations. Core principle 85% of Core Data problems stem from misunderstanding thread-confinement, schema migration requirements, and relationship query patterns—not Core Data defects.
Red Flags — Suspect Core Data Issue
If you see ANY of these, suspect a Core Data misunderstanding, not framework breakage:
- Crash on production launch: "Unresolvable fault" after schema change
- Thread-confinement error: "Accessing NSManagedObject on a different thread"
- App suddenly slow after adding a User→Posts relationship
- SwiftData app needs complex features; considering mixing Core Data alongside
- Schema migration works in simulator but crashes on production
- ❌ FORBIDDEN "Core Data is broken, we need a different database"
- Core Data handles trillions of records in production apps
- Schema mismatches and thread errors are always developer code, not framework
- Do not rationalize away the issue—diagnose it
Critical distinction Simulator deletes the database on each rebuild, hiding schema mismatch issues. Real devices keep persistent databases and crash immediately on schema mismatch. MANDATORY: Test migrations on real device with real data before shipping.
Mandatory First Steps
ALWAYS run these FIRST (before changing code):
// 1. Identify the crash/issue type
// Screenshot the crash message and note:
// - "Unresolvable fault" = schema mismatch
// - "different thread" = thread-confinement
// - Slow performance = N+1 queries or fetch size issues
// - Data corruption = unsafe migration
// Record: "Crash type: [exact message]"
// 2. Check if it's schema mismatch
// Compare these:
let coordinator = persistentStoreCoordinator
let model = coordinator.managedObjectModel
let store = coordinator.persistentStores.first
// Get actual store schema version:
do {
let metadata = try NSPersistentStoreCoordinator.metadataForPersistentStore(
ofType: NSSQLiteStoreType,
at: storeURL,
options: nil
)
print("Store version identifier: \(metadata[NSStoreModelVersionIdentifiersKey] ?? "unknown")")
// Get app's current model version:
print("App model version: \(model.versionIdentifiers)")
// If different = schema mismatch
} catch {
print("Schema check error: \(error)")
}
// Record: "Store version vs. app model: match or mismatch?"
// 3. Check thread-confinement for concurrency errors
// For any NSManagedObject access:
print("Main thread? \(Thread.isMainThread)")
print("Context concurrency type: \(context.concurrencyType.rawValue)")
print("Accessing from: \(Thread.current)")
// Record: "Thread mismatch? Yes/no"
// 4. Profile relationship access for N+1 problems
// In Xcode, run with arguments:
// -com.apple.CoreData.SQLDebug 1
// Check Console for SQL queries:
// SELECT * FROM USERS; (1 query)
// SELECT * FROM POSTS WHERE user_id = 1; (1 query per user = N+1!)
// Record: "N+1 found? Yes/no, how many extra queries"
// 5. Check SwiftData vs. Core Data confusion
if #available(iOS 17.0, *) {
// If using SwiftData @Model + Core Data simultaneously:
// Error: "Store is locked" or "EXC_BAD_ACCESS"
// = trying to access same database from both layers
print("Using both SwiftData and Core Data on same store?")
}
// Record: "Mixing SwiftData + Core Data? Yes/no"
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.
- 8d ago First seen · 922 lines · 50 tokens per session scan A 89406ad8ead7
axiom-core-data-diag is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 7,476 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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