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 commands/charleswiltgen/axiom/profilegit 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/commands/charleswiltgen/axiom/profile)<a href="https://agentmods.dev/commands/charleswiltgen/axiom/profile"><img src="https://agentmods.dev/badge/commands/charleswiltgen/axiom/profile.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 | $0.00017 | $0.00385 |
| Opus 5 | $0.00009 | $0.00192 |
| Sonnet 5 | $0.00003 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
profile 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
Profile Performance
Launches the performance-profiler agent to record and analyze performance traces using the xcprof CLI (record → analyze), no Instruments GUI required.
What It Does
The agent will:
- Detect available simulators and running apps
- Help you select what to profile
- Record a trace with
xcprof record— preset-based, bounded by--max-duration, and gated (launch / system-wide capture require explicit opt-in) - Analyze it with
xcprof analyze --json— back-references resolved, system frames filtered, work attributed to user code - Report findings with an honest per-family support matrix (so an unmeasured family is never reported as clean) and recommendations
Supported Instruments
xcprof analyze produces structured findings for:
- CPU Profiler — hot functions and CPU bottlenecks (
cpupreset) - Network Connections — socket-level connection stats (
networkpreset)
These are recorded but not parsed by analyze — open the trace in Instruments (open <trace>) for their views:
- Allocations / Leaks — memory usage and growth (
analyzereports themnot_exportable) - Power Profiler — energy (on-device iOS;
not_exportableon macOS) - SwiftUI, Swift Tasks/Actors — recorded alongside CPU Profiler
Prefer Natural Language?
You can also trigger this agent by saying:
- "Profile my app's CPU usage"
- "Run Time Profiler on my app"
- "Check for memory leaks"
- "Profile my app's launch time"
- "Run a headless performance trace"
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 · 41 lines · 17 tokens per session scan A 4dc78c1993d6
profile is a command published in the GitHub repository CharlesWiltgen/Axiom (1,148 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 385 once invoked, about $0.0001 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.