axiom-lldb-ref

axiom-lldb-ref is a skill for Claude Code, Codex from ComeOnOliver/skillshub. It costs 35 tokens per session (3,344 once invoked), scanned A, original, MIT.

A complete command reference for LLDB, the debugger included with Xcode, covering variables, breakpoints, threads, expressions, memory, and process control.

In plain words
What is it for?
Use it to inspect values, set and manage breakpoints, evaluate expressions, examine threads and memory, control execution, and customize LLDB startup settings.
Why use it?
It makes debugger commands easier to find when inspecting a running Swift or Objective-C program.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to inspect values, set and manage breakpoints, evaluate expressions, examine threads and memory, control execution, and customize LLDB startup settings.

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Install with agentmods
npx agentmods add skills/comeonoliver/skillshub/axiom-lldb-ref
Install

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.

Any agent
npx skills add ComeOnOliver/skillshub --skill axiom-lldb-ref
Clone the repo
git clone --depth 1 https://github.com/ComeOnOliver/skillshub

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for axiom-lldb-ref

README.md
[![agentmods](https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-lldb-ref/github.svg)](https://agentmods.dev/skills/comeonoliver/skillshub/axiom-lldb-ref)
Your own site
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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.

agentmods 80×15 button for axiom-lldb-ref

Your own site · 80×15
<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-lldb-ref"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-lldb-ref.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,344 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.03344
Opus 5 $0.00017 $0.01672
Sonnet 5 $0.00007 $0.00669
Haiku 4.5 $0.00003 $0.00334

Measured 9d ago against content hash 21a355462a65, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

axiom-lldb-ref 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 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.

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.

skills/CharlesWiltgen/Axiom/axiom-lldb-ref/SKILL.md · 482 lines

How it starts

The opening of the file, as written. The whole thing — 482 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LLDB Command Reference

Complete command reference for LLDB in Xcode. Organized by task so you can find the exact command you need.

For debugging workflows and decision trees, see /skill axiom-lldb.


Part 1: Variable Inspection

v / frame variable

Reads memory directly. No compilation. Most reliable for Swift values.

(lldb) v                              # All variables in current frame
(lldb) v self                         # Self in current context
(lldb) v self.propertyName            # Specific property
(lldb) v localVariable                # Local variable
(lldb) v self.array[0]               # Collection element
(lldb) v self._showDetails            # SwiftUI @State backing store (underscore prefix)

Flags:

Flag Effect
-d run Run dynamic type resolution (slower but more accurate)
-T Show types
-R Show raw (unformatted) output
-D N Limit depth of nested types to N levels
-P N Limit pointer depth to N levels
-F Flat output (no hierarchy)

Limitations: Cannot evaluate expressions, computed properties, or function calls. Use p for those.

p / expression (with format)

Compiles and executes an expression. Shows formatted result.

(lldb) p self.computedProperty
(lldb) p items.count
(lldb) p someFunction()
(lldb) p String(describing: someValue)
(lldb) p (1...10).map { $0 * 2 }

Result stored in numbered variables:

(lldb) p someValue
$R0 = 42
(lldb) p $R0 + 10
$R1 = 52

po / expression --object-description

Calls debugDescription (or description) on the result.

(lldb) po myObject
(lldb) po error
(lldb) po notification.userInfo
(lldb) po NSHomeDirectory()

When po adds value: Classes with CustomDebugStringConvertible, NSError, NSNotification, collections of objects.

When po fails: Swift structs without CustomDebugStringConvertible, protocol-typed values (use v instead — it performs iterative dynamic type resolution that po doesn't).

Read the full file on GitHub · 482 lines

Changes

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.

  1. 9d ago First seen · 482 lines · 35 tokens per session scan A 21a355462a65

Subscribe to this mod's changes

axiom-lldb-ref is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 3,344 once invoked, about $0.0002 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 2026-09-03.

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