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-cryptominer-malwaregit 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-cryptominer-malware)<a href="https://agentmods.dev/skills/meltedinhex/analyst-ai-pack/analyzing-cryptominer-malware"><img src="https://agentmods.dev/badge/skills/meltedinhex/analyst-ai-pack/analyzing-cryptominer-malware/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/meltedinhex/analyst-ai-pack/analyzing-cryptominer-malware"><img src="https://agentmods.dev/badge/skills/meltedinhex/analyst-ai-pack/analyzing-cryptominer-malware.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 | $0.00079 | $0.00675 |
| Opus 5 | $0.00039 | $0.00338 |
| Sonnet 5 | $0.00016 | $0.00135 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
analyzing-cryptominer-malware 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 9d 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.
What it actually says
Analyzing Cryptominer Malware
When to Use
- You have a suspected coinminer (often an XMRig fork) and need to extract its pool, wallet, algorithm, and resource-control configuration for IOCs and attribution.
- You are confirming a host's high CPU/GPU usage is malicious mining.
Do not use this to run the miner — extract its configuration statically.
Prerequisites
- The miner sample or its extracted config/strings, read inertly.
Safety & Handling
- Read bytes statically; defang pool endpoints; never start the miner.
Workflow
Step 1: Extract mining configuration
python scripts/analyst.py profile sample.bin
Extracts stratum+tcp:///stratum+ssl:// pool URLs, wallet addresses (Monero and common
formats), algorithm names (rx/0, cn/r, etc.), and the XMRig/miner identifier strings.
Step 2: Identify resource and stealth controls
Surface max-cpu-usage, --background, idle-detection, and donate-level settings, plus
watchdog/persistence indicators.
Step 3: Build IOCs
Record defanged pool endpoints, wallet addresses, and the miner family for detection and takedown referral.
Step 4: Document
Summarize the campaign's pool/wallet and the resource-control posture.
Validation
- Pool URLs use a recognized
stratumscheme and resolve to plausible hosts. - Wallet addresses match a known coin's format/length.
- The miner family is identified from its config keys/strings.
Pitfalls
- Legitimate mining software shares the same config keys — context (deployment, stealth) matters.
- Encrypted/packed config requiring decryption first.
- Proxy pools masking the true upstream pool.
References
- See
references/api-reference.mdfor the profiler. - ATT&CK T1496 and the XMRig config reference (linked in frontmatter).
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.
- 9d ago First seen · 89 lines · 79 tokens per session scan A 9c3835387677
analyzing-cryptominer-malware is a skill published in the GitHub repository meltedinhex/analyst-ai-pack (22 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 79 tokens to every session and 675 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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