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 skills add oyi77/1ai-skills --skill acquiring-disk-image-with-dd-and-dcflddgit clone --depth 1 https://github.com/oyi77/1ai-skillsWrote 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/oyi77/1ai-skills/acquiring-disk-image-with-dd-and-dcfldd)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/acquiring-disk-image-with-dd-and-dcfldd"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/acquiring-disk-image-with-dd-and-dcfldd/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.
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/acquiring-disk-image-with-dd-and-dcfldd"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/acquiring-disk-image-with-dd-and-dcfldd.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00061 | $0.00927 |
| Opus 5 | $0.00030 | $0.00464 |
| Sonnet 5 | $0.00012 | $0.00185 |
| Haiku 4.5 | $0.00006 | $0.00093 |
Grade B, and why
acquiring-disk-image-with-dd-and-dcfldd scanned grade B with 1 finding 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 8d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- Root/sudo privileges on the forensic workstation How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Acquiring Disk Image With Dd And Dcfldd
Overview
Cybersecurity skill for acquiring disk image with dd and dcfldd. Follows industry best practices and security standards.
When to Use
Trigger phrases:
-
"acquiring disk image with dd and dcfldd"
-
"Create forensically sound bit-for-bit disk images using dd and dcfldd while pres"
-
When you need to create a forensic copy of a suspect drive for investigation
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During incident response when preserving volatile disk evidence before analysis
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When law enforcement or legal proceedings require a verified bit-for-bit copy
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Before performing any destructive analysis on a storage device
-
When acquiring images from physical drives, USB devices, or memory cards
When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
Prerequisites
- Linux-based forensic workstation (SIFT, Kali, or any Linux distro)
dd(pre-installed on all Linux systems) ordcfldd(enhanced forensic version)- Write-blocker hardware or software write-blocking configured
- Destination drive with sufficient storage (larger than source)
- Root/sudo privileges on the forensic workstation
- SHA-256 or MD5 hashing utilities (
sha256sum,md5sum)
Workflow
# Example: IOC detection
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
- Define Objectives — Clarify the goals and scope for disk image.
- Gather Resources — Collect tools, data, and access needed for disk image.
- Execute Process — Carry out disk image operations methodically.
- Verify Quality — Check results against acceptance criteria.
- Document Outcomes — Record findings, decisions, and next steps.
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.
- 8d ago First seen · 109 lines · 61 tokens per session scan B 10291e938f66
acquiring-disk-image-with-dd-and-dcfldd is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 927 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
Other skills, from other repositories
acquiring-disk-image-with-dd-and-dcfldd
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
acquiring-disk-image-with-dd-and-dcfldd
Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident…
acquiring-disk-image-with-dd-and-dcfldd
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
acquiring-disk-image-with-dd-and-dcfldd
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
acquiring-disk-image-with-dd-and-dcfldd
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
acquiring-disk-image-with-dd-and-dcfldd
A procedure for creating a forensic, bit-for-bit copy of a storage device with Linux tools such as `dd` or `dcfldd`, then checking its hash to verify that the copy is unchanged.