analyze-malware

analyze-malware is a skill for Claude Code from bdmorin/the-no-shop. It costs 34 tokens per session (776 once invoked), scanned A, original, MIT.

A guide for examining suspected malware, software designed to harm systems or gain unauthorized access. It covers behavior, detection clues, telemetry, community information, and techniques used by attackers.

In plain words
What is it for?
Use it to analyze malware on Windows, macOS, Linux, or Android, extract indicators of compromise, describe behavior, and map observed actions to MITRE ATT&CK techniques.
Why use it?
It helps organize technical evidence about a suspicious file or program into findings that analysts can investigate. This can support detection and understanding of how the software operates.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the fabric-analysis plugin — 34 skills shipped together

Good fit Use it to analyze malware on Windows, macOS, Linux, or Android, extract indicators of compromise, describe behavior, and map observed actions to MITRE ATT&CK techniques.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bdmorin/the-no-shop/analyze-malware
Install

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.

Any agent
npx skills add bdmorin/the-no-shop --skill analyze-malware
Clone the repo
git clone --depth 1 https://github.com/bdmorin/the-no-shop

Made for: Claude Code.

Or install fabric-analysis, the plugin that ships this one along with the rest of its 34 skills.

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.

agentmods badge for analyze-malware

README.md
[![agentmods](https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-malware/github.svg)](https://agentmods.dev/skills/bdmorin/the-no-shop/analyze-malware)
Your own site
<a href="https://agentmods.dev/skills/bdmorin/the-no-shop/analyze-malware"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-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.

agentmods 80×15 button for analyze-malware

Your own site · 80×15
<a href="https://agentmods.dev/skills/bdmorin/the-no-shop/analyze-malware"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-malware.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 776 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 2 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.00776
Opus 5 $0.00017 $0.00388
Sonnet 5 $0.00007 $0.00155
Haiku 4.5 $0.00003 $0.00078

Measured 10d ago against content hash f25bf1e54ecc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

analyze-malware scanned grade A with 2 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 10d 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 the agent to reveal its instructionslowSystem prompt leakage

Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.

# OUTPUT INSTRUCTIONS

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Strips warnings and disclaimerslowAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

Do not give warnings or notes; only output the requested sections.

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

plugins/fabric-analysis/skills/analyze-malware/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IDENTITY and PURPOSE

You are a malware analysis expert and you are able to understand malware for any kind of platform including, Windows, MacOS, Linux or android. You specialize in extracting indicators of compromise, malware information including its behavior, its details, info from the telemetry and community and any other relevant information that helps a malware analyst. Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.

STEPS

Read the entire information from an malware expert perspective, thinking deeply about crucial details about the malware that can help in understanding its behavior, detection and capabilities. Also extract Mitre Att&CK techniques. Create a summary sentence that captures and highlights the most important findings of the report and its insights in less than 25 words in a section called ONE-SENTENCE-SUMMARY:. Use plain and conversational language when creating this summary. You can use technical jargon but no marketing language.

  • Extract all the information that allows to clearly define the malware for detection and analysis and provide information about the structure of the file in a section called OVERVIEW.
  • Extract all potential indicators that might be useful such as IP, Domain, Registry key, filepath, mutex and others in a section called POTENTIAL IOCs. If you don't have the information, do not make up false IOCs but mention that you didn't find anything.
  • Extract all potential Mitre Att&CK techniques related to the information you have in a section called ATT&CK.
  • Extract all information that can help in pivoting such as IP, Domain, hashes, and offer some advice about potential pivot that could help the analyst. Write this in a section called POTENTIAL PIVOTS.
  • Extract information related to detection in a section called DETECTION.
  • Suggest a Yara rule based on the unique strings output and structure of the file in a section called SUGGESTED YARA RULE.
  • If there is any additional reference in comment or elsewhere mention it in a section called ADDITIONAL REFERENCES.
  • Provide some recommendation in term of detection and further steps only backed by technical data you have in a section called RECOMMENDATIONS.

Read the full file on GitHub · 50 lines

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.

  1. 10d ago First seen · 50 lines · 34 tokens per session scan A f25bf1e54ecc

Subscribe to this mod's changes

analyze-malware is a skill published in the GitHub repository bdmorin/the-no-shop (10 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 776 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 2 findings (asks the agent to reveal its instructions, strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

vast-ai-gpu-cloud

Safely inspect and operate Vast.ai marketplace instances with the vastai CLI, live offer data, and explicit approval before paid or destructive actions.

synthetic-sciences/openscience · 34 tokens

claude-code-migration

A guided tool for copying Claude Code settings and project configuration into sid-code. It checks what can be moved, asks before writing, and records what was transferred.

rushengzhou/sid-code · 100 tokens

code-review

A review process for a pull request, which is a proposed set of code changes. It examines the changed code and its surrounding files for bugs, security problems, design issues, and lint errors.

rushengzhou/sid-code · 49 tokens

security-audit

A security review skill for examining code changes in a pull request, which is a proposed set of changes awaiting approval. It reports issues such as injection, exposed secrets, unsafe authentication, weak cryptography, vulnerable dependencies, and infrastructure mistakes.

rushengzhou/sid-code · 85 tokens

ci-self-heal

A diagnostic guide for analysing failed continuous-integration checks. Continuous integration, or CI, automatically tests and builds code changes; this guide classifies failures and suggests fixes without editing the code.

rushengzhou/sid-code · 73 tokens

incident-rca

A diagnostic process for producing a structured root-cause analysis of a serious production incident, such as a P0 or P1 outage. It compares logs, measurements, request traces, code changes, and architecture decisions, and gives ranked explanations and actions.

rushengzhou/sid-code · 82 tokens