Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/marcosd4h/deepextractruntime/batch-lift)<a href="https://agentmods.dev/skills/marcosd4h/deepextractruntime/batch-lift"><img src="https://agentmods.dev/badge/skills/marcosd4h/deepextractruntime/batch-lift.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 | $0.00084 | $0.03876 |
| Opus 5 | $0.00042 | $0.01938 |
| Sonnet 5 | $0.00017 | $0.00775 |
| Haiku 4.5 | $0.00008 | $0.00388 |
Grade A, and why
batch-lift 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.
How it starts
The opening of the file, as written. The whole thing — 394 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Batch / Contextual Code Lifting
Purpose
Lift related function groups together instead of one-at-a-time. Individual function lifting loses context -- struct definitions are incomplete, constants are defined in isolation, and cross-references between related functions are missed.
This skill orchestrates batch lifting by:
- Collecting the right set of functions (class methods, call chains, export subtrees)
- Building shared struct definitions accumulated across ALL functions in the set
- Determining dependency order (lift callees before callers)
- Generating a single cohesive
.cppoutput with constants, structs, and functions
Builds on: decompiled-code-extractor (function data extraction), code-lifting (per-function lifting workflow), callgraph-tracer (call chain discovery), reconstruct-types (struct scanning).
This is NOT security analysis. The goal is faithful, readable code reconstruction.
When NOT to Use
- Lifting a single function in isolation -- use code-lifting or the code-lifter agent
- Vulnerability scanning or security analysis of functions -- use ai-memory-corruption-scanner or ai-logic-scanner
- Understanding what a function does without rewriting it -- use re-analyst or
/explain - Reconstructing types without lifting code -- use reconstruct-types
- Tracing call chains without lifting the functions -- use callgraph-tracer
Batch Lifting Modes
| Mode | Trigger | What Gets Collected |
|---|---|---|
| Class methods | "Lift all methods of ClassName" | All methods by mangled name + signature references |
| Call chain | "Lift FuncX and everything it calls" | BFS from FuncX, N levels of internal calls |
| Export-down | "Lift from export X down 3 levels" | From named export, N levels of internal calls |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 394 lines · 84 tokens per session scan A 2bf04005dd40
batch-lift is a skill published in the GitHub repository marcosd4h/DeepExtractRuntime (19 stars, last pushed 4mo ago), licensed MIT. It adds 84 tokens to every session and 3,876 once invoked, about $0.0004 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.
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