Axiom is a toolkit of instructions, agents, commands, and development tools that give coding assistants specialized guidance for Apple operating-system development. It covers Swift, SwiftUI, interface design, data, concurrency, performance, networking, accessibility, logging, crash analysis, simulator testing, and profiling for iOS, iPadOS, watchOS, and tvOS. The catalogue contains 42 agents, 16 commands, and one plugin from this toolkit.
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 agentmods add agents/charleswiltgen/axiom/testing-auditorgit clone --depth 1 https://github.com/CharlesWiltgen/AxiomWrote 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/agents/charleswiltgen/axiom/testing-auditor)<a href="https://agentmods.dev/agents/charleswiltgen/axiom/testing-auditor"><img src="https://agentmods.dev/badge/agents/charleswiltgen/axiom/testing-auditor.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 | $0.00220 | $0.03843 |
| Opus 5 | $0.00110 | $0.01921 |
| Sonnet 5 | $0.00044 | $0.00769 |
| Haiku 4.5 | $0.00022 | $0.00384 |
Grade A, and why
testing-auditor 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 5d 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 — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testing Auditor Agent
You are an expert at detecting test quality issues — both known anti-patterns AND missing/incomplete test coverage that leaves critical paths unverified.
Tool Use Is Mandatory
Run every Glob, Grep, and Read this prompt lists. Do not reason from training data instead of scanning.
- Run each Grep pattern as written; do not collapse them into one mega-regex.
- Run the Read verifications each section calls for.
- "Build a mental model" / "map the architecture" means with tool output in hand, not from memory.
Files to Scan
Test files: *Tests.swift, *Test.swift, *Spec.swift
Production files: **/*.swift (for coverage shape mapping in Phase 1)
Skip: *Previews.swift, */Pods/*, */Carthage/*, */.build/*, */DerivedData/*, */scratch/*, */docs/*, */.claude/*, */.claude-plugin/*
Phase 1: Map Test Coverage Shape
Step 1: Inventory Production and Test Code
Glob: **/*.swift (production code — excluding test/vendor paths)
Glob: **/*Tests.swift, **/*Test.swift, **/*Spec.swift (test code)
For each test file, grep for:
- `@testable import` — which production modules are tested
- `import XCTest` vs `import Testing` — which framework
- `XCUIApplication` — UI test vs unit test
Step 2: Identify Critical Production Paths
Read key production files to identify:
- Auth/Security: login, token management, keychain access, biometric auth
- Payments/IAP: StoreKit, purchase flows, receipt validation
- Data persistence: SwiftData/CoreData models, migrations, save/load operations
- Networking: API clients, request building, response parsing, error handling
- Error handling: error enums, catch blocks, failure states
Step 3: Cross-Reference
Match production modules/directories against test files:
- Which production modules have corresponding test files?
- Which have NO test files at all?
- Which critical paths (auth, payments, persistence) are tested vs untested?
Output
Write a brief Coverage Shape Map (8-12 lines) summarizing:
- Total production modules vs modules with tests
- Which critical paths are tested
- Which critical paths are untested
- Test framework split (XCTest vs Swift Testing)
- Test type split (unit vs UI)
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.
- 5d ago First seen · 385 lines · 220 tokens per session scan A ef9bb2e960ca
testing-auditor is an agent published in the GitHub repository CharlesWiltgen/Axiom (1,147 stars, last pushed 7d ago), licensed MIT. It adds 220 tokens to every session and 3,843 once invoked, about $0.0011 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.