What is forensic-archive-carve?

A static analyzer for ELF files, the executable and shared-library format commonly used on Linux and BSD. It reads headers, sections, libraries, imported functions, search paths, and security protections without loading or executing the file.

Use it to inspect executable architecture, dependencies, RPATH or RUNPATH settings, notable imports, section entropy, and protections such as PIE, NX, and RELRO.

It provides a structured first look at an unknown Linux binary while avoiding the risks of running it. Entropy and imported functions can reveal packing, encryption, networking, or process control.

forensic-archive-carve — Skill by batteryshark/rekit

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/batteryshark/rekit

agentmods

npx agentmods add skills/batteryshark/rekit/forensic-archive-carve

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/batteryshark/rekit/forensic-archive-carve/github.svg)](https://agentmods.dev/skills/batteryshark/rekit/forensic-archive-carve)

Your own site

<a href="https://agentmods.dev/skills/batteryshark/rekit/forensic-archive-carve"><img src="https://agentmods.dev/badge/skills/batteryshark/rekit/forensic-archive-carve/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/batteryshark/rekit/forensic-archive-carve"><img src="https://agentmods.dev/badge/skills/batteryshark/rekit/forensic-archive-carve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 363 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.

Model	Per session	Once invoked
Fable 5.1	$0.00077	$0.00363
Opus 5.5	$0.00031	$0.00145
Sonnet 5.5	$0.00015	$0.00073
Haiku 4.5	$0.00008	$0.00036

Measured 1mo ago against content hash 0b2529673993, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

forensic-archive-carve 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/run.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/forensic-archive-carve/SKILL.md · 34 lines

What it actually says

Forensic Archive Carver

Carve archive byte ranges only after their framing has been validated. This is narrower and more evidence-oriented than binwalk-carve: it records exact source offsets and content identities instead of recursively invoking a broad extractor ecosystem.

Workflow

Run disk-image-scan and retain its scan.jsonl.
Carve from that hit set:

bin/rekit run forensic-archive-carve evidence.img ./forensics/archives \
  --hits ./forensics/scan/scan.jsonl

Omit --hits to scan the image directly for classic ZIP EOCD and RAR4 signatures. The output directory must be empty so an earlier recovery cannot be silently mixed with a new run.

Inspect manifest.jsonl. Each record includes start, endExclusive, size, sha256, structural validation details, and duplicateOf when another carved range has identical bytes.
Treat carving and archive extraction as separate evidence steps. Use unpack on a copy or dedicated output directory; retain the original carved bytes and manifest.

Classic ZIP and RAR4 are supported. ZIP64 and RAR5 signatures are reported as unsupported rather than guessed. --max-size and --max-candidates bound reads and output growth.

Files

What ships with it

1 file 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.

scripts/run.py 11 KB runs code

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.

1mo ago First seen · 34 lines · 77 tokens per session scan A 0b2529673993

Subscribe to this mod's changes

forensic-archive-carve is a skill published in the GitHub repository batteryshark/rekit (20 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 363 once invoked, about $0.0003 per session on Opus 5.5. 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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