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 meltedinhex/analyst-ai-pack --skill analyzing-ransomware-encryption-behaviorgit clone --depth 1 https://github.com/meltedinhex/analyst-ai-packWrote 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/meltedinhex/analyst-ai-pack/analyzing-ransomware-encryption-behavior)<a href="https://agentmods.dev/skills/meltedinhex/analyst-ai-pack/analyzing-ransomware-encryption-behavior"><img src="https://agentmods.dev/badge/skills/meltedinhex/analyst-ai-pack/analyzing-ransomware-encryption-behavior.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 | $0.00072 | $0.00898 |
| Opus 5 | $0.00036 | $0.00449 |
| Sonnet 5 | $0.00014 | $0.00180 |
| Haiku 4.5 | $0.00007 | $0.00090 |
Grade A, and why
analyzing-ransomware-encryption-behavior 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 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.
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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyzing Ransomware Encryption Behavior
When to Use
- You need to understand how a ransomware sample encrypts data and whether recovery without the key is feasible.
- You are documenting file targeting, markers, and the ransom workflow for an IR report.
- You want to identify the crypto primitives to assess decryptability and detection points.
Do not use this to attempt key recovery on production data without backups; analyze in the lab on disposable test files only.
Prerequisites
- Isolated lab with disposable test files of varied types/sizes.
- Static/RE tools (see the Ghidra and crypto-identification skills) and the dynamic-analysis setup.
- A clean snapshot to revert.
Safety & Handling
- Detonate only against throwaway files in the isolated victim VM; never real data.
- Treat the sample and any dropped components as live; revert after each run.
Workflow
Step 1: Identify the crypto scheme statically
Locate crypto constants and APIs to classify the scheme:
Symmetric only (AES/ChaCha/RC4) -> key may be derivable/recoverable if mishandled
Asymmetric (RSA/ECC) wrapping -> per-file symmetric key wrapped with attacker pubkey
Hybrid (typical) -> AES per file, RSA-wrapped key in the encrypted file/footer
Look for AES S-boxes, ChaCha constants ("expand 32-byte k"), and CryptImportKey/BCrypt*.
Step 2: Trace key generation and handling
Determine where the symmetric key comes from (CSPRNG vs weak source), whether it is stored, and how it is protected. Weak/reused keys or keys left in memory are recovery opportunities.
Step 3: Map file targeting
Identify which directories/extensions are targeted or skipped (allowlist of system paths), size thresholds, and partial-vs-full encryption (many encrypt only the first N bytes/blocks for speed).
Step 4: Capture markers and metadata
Most families append an extension, write a per-file footer/magic marker, and store the wrapped key or IV there. The script fingerprints before/after test files to extract markers.
What ships with it
3 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.
- 8d ago First seen · 114 lines · 72 tokens per session scan A ec84fd6c29df
analyzing-ransomware-encryption-behavior is a skill published in the GitHub repository meltedinhex/analyst-ai-pack (22 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 72 tokens to every session and 898 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.
Other skills, from other repositories
analyzing-ransomware-encryption-mechanisms
Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware…
analyzing-ransomware-encryption-mechanisms
A guide to examining how ransomware encrypts files, including its algorithms, key handling, and encryption code. Ransomware is malware that locks data and demands payment.
analyzing-ransomware-encryption-mechanisms
Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware…
analyzing-ransomware-encryption-mechanisms
Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware…
analyzing-ransomware-encryption-mechanisms
Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware…
analyzing-ransomware-encryption-mechanisms
Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware…