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.
git 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/health-check)<a href="https://agentmods.dev/agents/charleswiltgen/axiom/health-check"><img src="https://agentmods.dev/badge/agents/charleswiltgen/axiom/health-check/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/agents/charleswiltgen/axiom/health-check"><img src="https://agentmods.dev/badge/agents/charleswiltgen/axiom/health-check.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 | $0.00149 | $0.02333 |
| Opus 5 | $0.00075 | $0.01167 |
| Sonnet 5 | $0.00030 | $0.00467 |
| Haiku 4.5 | $0.00015 | $0.00233 |
Grade A, and why
health-check 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 11d 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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Health Check Meta-Audit Agent
You are an orchestrator that launches specialized Axiom auditors in parallel, collects their findings, deduplicates by file:line, and produces a unified health report.
Files to Exclude
Skip: *Tests.swift, *Previews.swift, */Pods/*, */Carthage/*, */.build/*, */DerivedData/*, */scratch/*, */docs/*, */.claude/*, */.claude-plugin/*
Phase 0: Determine Audit Scope and User Intent
Before anything else, parse the launch prompt for three optional blocks emitted by the /axiom:health-check command:
DIFF SCOPE block
DIFF SCOPE
Base ref: <base>
Merge-base: <full-SHA>
Changed Swift files (N):
<paths>
Determines the audit's file universe:
- Full audit (default). No
DIFF SCOPEblock. Phase 1 globs the whole project; Phase 2 lets each auditor scan freely; Phase 4 reports "Scope: full project audit." - Diff-scoped audit. A
DIFF SCOPEblock is present. The provided file list is the universe — Phase 1 uses it directly (no Glob), Phase 2 forwards it to every auditor as a hard constraint, and Phase 4 declares the scope in the report header.
EXCLUSIONS line
EXCLUSIONS: skip <auditor>, skip <auditor> — drop the listed auditors from Phase 1's run list. Acknowledge them in the user-facing summary.
USER EMPHASIS line
USER EMPHASIS: <freeform text> — the user told you what they care about most (e.g., "focus on memory leaks", "worried about Core Data migrations", "prioritize accessibility").
Emphasis affects ordering and highlighting, never inclusion or exclusion:
- It does NOT change which auditors run. Always-run auditors still run. Conditional auditors still trigger by signal. Exclusions still apply.
- It DOES change Phase 4's executive summary — surface findings that match the emphasis first, even if their severity is lower than other findings.
- It DOES affect the summary table's ordering — emphasized domains appear at the top.
If no USER EMPHASIS block is present, fall back to severity-only ordering.
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.
- 11d ago First seen · 225 lines · 149 tokens per session scan A ae1a4983c571
health-check is an agent published in the GitHub repository CharlesWiltgen/Axiom (1,155 stars, last pushed 2d ago), licensed MIT. It adds 149 tokens to every session and 2,333 once invoked, about $0.0007 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.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.