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 Kasempiternal/axiom-v2 --skill ax-grdbgit clone --depth 1 https://github.com/Kasempiternal/axiom-v2Wrote 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/kasempiternal/axiom-v2/ax-grdb)<a href="https://agentmods.dev/skills/kasempiternal/axiom-v2/ax-grdb"><img src="https://agentmods.dev/badge/skills/kasempiternal/axiom-v2/ax-grdb/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/kasempiternal/axiom-v2/ax-grdb"><img src="https://agentmods.dev/badge/skills/kasempiternal/axiom-v2/ax-grdb.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 | $0.00055 | $0.04781 |
| Opus 5 | $0.00028 | $0.02390 |
| Sonnet 5 | $0.00011 | $0.00956 |
| Haiku 4.5 | $0.00006 | $0.00478 |
Grade A, and why
ax-grdb 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 9d 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 oldTracks = try context.fetch(FetchDescriptor<OldTrack>()) How it starts
The opening of the file, as written. The whole thing — 664 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GRDB & SQLite
Quick Patterns
GRDB Setup
import GRDB
// DatabaseQueue (single connection, safe for all use cases)
let dbQueue = try DatabaseQueue(path: dbPath)
// DatabasePool (concurrent reads, single writer - better performance)
let dbPool = try DatabasePool(path: dbPath)
// In-memory for testing
let dbQueue = try DatabaseQueue()
GRDB Model Definition
struct Track: Codable, FetchableRecord, PersistableRecord {
var id: Int64?
var title: String
var artist: String
var duration: TimeInterval
var playCount: Int
// Table name (default: "track")
static let databaseTableName = "tracks"
// Auto-increment
mutating func didInsert(_ inserted: InsertionSuccess) {
id = inserted.rowID
}
}
GRDB Raw SQL Queries
// Read
let tracks = try dbQueue.read { db in
try Track.fetchAll(db, sql: """
SELECT * FROM tracks
WHERE artist = ? AND duration > ?
ORDER BY title
LIMIT 50
""", arguments: ["Artist", 180])
}
// Single row
let track = try dbQueue.read { db in
try Track.fetchOne(db, sql: "SELECT * FROM tracks WHERE id = ?", arguments: [42])
}
// Aggregate
let count = try dbQueue.read { db in
try Int.fetchOne(db, sql: "SELECT COUNT(*) FROM tracks WHERE playCount > 0")!
}
// Write
try dbQueue.write { db in
var track = Track(id: nil, title: "Song", artist: "Artist", duration: 210, playCount: 0)
try track.insert(db)
}
// Update
try dbQueue.write { db in
try db.execute(sql: "UPDATE tracks SET playCount = playCount + 1 WHERE id = ?", arguments: [42])
}
// Delete
try dbQueue.write { db in
try db.execute(sql: "DELETE FROM tracks WHERE playCount = 0")
}
GRDB Type-Safe Query Interface
let tracks = try dbQueue.read { db in
try Track
.filter(Column("artist") == "Artist")
.filter(Column("duration") > 180)
.order(Column("title"))
.limit(50)
.fetchAll(db)
}
// Joins
struct TrackInfo: Decodable, FetchableRecord {
var trackTitle: String
var artistName: String
}
let infos = try dbQueue.read { db in
try Track
.joining(required: Track.artist)
.select(
Column("title").forKey("trackTitle"),
Artist.Columns.name.forKey("artistName")
)
.asRequest(of: TrackInfo.self)
.fetchAll(db)
}
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.
- 9d ago First seen · 664 lines · 55 tokens per session scan A 7ca7d5ce157d
ax-grdb is a skill published in the GitHub repository Kasempiternal/axiom-v2 (4 stars, last pushed 6mo ago), licensed MIT. It adds 55 tokens to every session and 4,781 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 2026-08-31.
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