lift-class

lift-class is a command for coding agents from marcosd4h/DeepExtractRuntime. It costs 0 tokens per session (1,651 once invoked), scanned A, original, MIT.

A command that reconstructs every method in a C++ class from assembly, the low-level instructions produced by a compiler, into one C++ source file.

In plain words
What is it for?
Use it to recover a class from a program module, include related structure definitions, and output methods in dependency order.
Why use it?
It keeps shared types, constants, names, and method dependencies consistent across the whole class instead of handling methods separately.

Command

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.

agentmods
npx agentmods add commands/marcosd4h/deepextractruntime/lift-class
Clone the repo
git clone --depth 1 https://github.com/marcosd4h/DeepExtractRuntime

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 lift-class

README.md
[![agentmods](https://agentmods.dev/badge/commands/marcosd4h/deepextractruntime/lift-class.svg)](https://agentmods.dev/commands/marcosd4h/deepextractruntime/lift-class)
Your own site
<a href="https://agentmods.dev/commands/marcosd4h/deepextractruntime/lift-class"><img src="https://agentmods.dev/badge/commands/marcosd4h/deepextractruntime/lift-class.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,651 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.01651
Opus 5 $0.00000 $0.00826
Sonnet 5 $0.00000 $0.00330
Haiku 4.5 $0.00000 $0.00165

Measured 5d ago against content hash 9b07e563bc55, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lift-class 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.

commands/lift-class.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lift Class

Overview

Batch-lift all methods of a C++ class with shared type context, producing a single cohesive .cpp output file with struct definitions, constants, and all methods in dependency order. Uses assembly as ground truth to ensure 100% functional equivalence.

Primary mechanism: code-lifter subagent. This command delegates to the code-lifter subagent, which maintains shared struct definitions, naming conventions, accumulated constants, and already-lifted code in its context across all methods. The grind loop is a fallback for edge cases (see below).

The text after /lift-class specifies the class name and optionally the module:

  • /lift-class CSecurityDescriptor -- searches all modules
  • /lift-class appinfo.dll CSecurityDescriptor -- targets specific module
  • /lift-class cmd.exe --list -- list all detected classes first

IMPORTANT: Execution Model

This is an execute-immediately command. Do NOT present anything for user confirmation. Run and write the final lifted code and summary straight to the chat as your response. The user expects to see the completed output.

Execution Context

IMPORTANT: Any inline Python that imports helpers.* must run with cd <workspace>/.claude (so the .claude/ directory is on sys.path), not from the workspace root. Script invocations like python .claude/skills/.../script.py can be run from the workspace root because those scripts manage their own path setup.

Workspace Protocol

Apply filesystem handoff for all intermediate artifacts:

  1. Create .claude/workspace/<module>_lift_class_<timestamp>/.
  2. For any supporting skill/script invocations, pass:
    • --workspace-dir <run_dir>
    • --workspace-step <step_name>
  3. Keep only summaries in context; read full intermediate data from <run_dir>/<step_name>/results.json when needed.
  4. For fallback grind-loop runs, use the session-scoped scratchpad .claude/hooks/scratchpads/{session_id}.md for loop state, but store intermediate script outputs in the workspace run directory.

Read the full file on GitHub · 134 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. 5d ago First seen · 134 lines · 0 tokens per session scan A 9b07e563bc55

Subscribe to this mod's changes

lift-class is a command published in the GitHub repository marcosd4h/DeepExtractRuntime (19 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,651 tokens. 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.