analyzing-threat-landscape-with-misp
by mukul975Analyze the threat landscape using MISP with the analyzing-threat-landscape-with-misp skill. It summarizes event statistics, IoC distributions, threat actor and malware trends, and time-based changes to support Threat Intelligence reports, SOC briefings, and hunting priorities.
This skill scores 74/100, which means it is listable but best presented with caution: it has real threat-intelligence workflow value and enough implementation detail for agents to use, yet users will still need some setup and interpretation help.
- Explicit MISP threat-landscape use case with concrete outputs: event statistics, IOC breakdowns, threat-actor and malware-family trends.
- Operational support is stronger than a stub: the repository includes a Python agent script plus an API reference for PyMISP searches, event fields, and galaxy tag prefixes.
- Good triggerability for security workflows: the SKILL.md explains when to use it for incident investigation, threat hunting, and monitoring validation.
- No install command in SKILL.md, so users must infer setup steps and dependency handling themselves.
- The excerpted instructions are partially truncated and there is no obvious end-to-end example report, which may leave agents guessing about the expected output format.
Overview of analyzing-threat-landscape-with-misp skill
The analyzing-threat-landscape-with-misp skill helps you turn MISP event data into a readable threat landscape report. It is best for analysts who need to summarize IoCs, threat actors, malware families, tag trends, and severity mix without writing the whole analysis from scratch. If you are evaluating the analyzing-threat-landscape-with-misp skill for Threat Intelligence, the main value is structured reporting from live MISP data, not generic cyber commentary.
What this skill is for
Use this skill when you want a repeatable way to answer: what threats are showing up most, which actors or malware families dominate, how those signals change over time, and what that means for monitoring or hunting priorities. It is a practical fit for SOC reporting, incident follow-up, and internal threat briefings.
What makes it useful
The repository is not just prose: it includes a Python agent, a reference API guide, and concrete MISP field mappings. That means the analyzing-threat-landscape-with-misp skill can support actual data collection and analysis, not only prompt-based summarization. The strongest differentiator is its focus on event statistics and galaxy/tag trends, which are the pieces most teams need to justify defensive actions.
When it is a good fit
Choose this skill if you have access to MISP, know your instance URL and API key, and need a report grounded in published events or recent event windows. It is less useful if you only want a one-off narrative about a threat actor with no MISP source data.
How to Use analyzing-threat-landscape-with-misp skill
Install and locate the core files
For an analyzing-threat-landscape-with-misp install, use the package path from the repo and then read the skill body before running anything:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-misp
Then inspect these files first:
skills/analyzing-threat-landscape-with-misp/SKILL.mdskills/analyzing-threat-landscape-with-misp/references/api-reference.mdskills/analyzing-threat-landscape-with-misp/scripts/agent.py
The reference file tells you which MISP fields matter; the script shows the actual analysis flow and output logic.
Prepare the right input for the prompt
The skill works best when you give it a bounded analysis request, not a vague “analyze MISP data” prompt. Include:
- the MISP instance context
- the date window
- whether to use published events only
- tags, orgs, or threat levels to prioritize
- the intended output format
Good prompt shape:
Use analyzing-threat-landscape-with-misp usage to produce a 30-day threat landscape summary from our MISP instance, focusing on published events, high-threat-level items, top malware families, and MITRE-tagged activity. Return a report with findings, trends, and analyst actions.
Follow the repo’s workflow in practice
The analyzing-threat-landscape-with-misp guide is easiest to execute in this order:
- Connect to MISP with your URL and API key.
- Pull events for a defined window, usually the last 30–90 days.
- Review event metadata first: threat level, analysis state, tags, and org source.
- Break out IOC types, then actor and malware distributions.
- Compare trends over time before writing conclusions.
This order matters because raw IOC counts alone can mislead; the report is stronger when severity, tags, and time trends are combined.
Improve output quality before generation
If you want better results from analyzing-threat-landscape-with-misp usage, constrain the analysis. Ask for only certain tags, certain business units, or only published events if your MISP contains drafts or noisy imports. Also specify whether you need executive summary language or analyst-level detail. That single choice changes the report style more than most users expect.
analyzing-threat-landscape-with-misp skill FAQ
Do I need a MISP instance to use it?
Yes. This skill is built around MISP event retrieval and field analysis. Without instance access and an API key, you can still study the workflow, but you cannot get the full value of analyzing-threat-landscape-with-misp for Threat Intelligence.
Is this better than a generic prompt?
Usually yes, if your input is MISP data. A generic prompt may describe a threat landscape, but this skill gives you a repeatable structure for event stats, IOC breakdowns, galaxy tags, and temporal trends. That makes outputs more defensible and easier to refresh later.
Is it beginner-friendly?
It is beginner-friendly if you already know basic threat-intelligence terms like IOC, threat actor, and malware family. It is not ideal as a first introduction to MISP itself. Beginners should still read references/api-reference.md first so they understand the fields the skill expects.
When should I not use it?
Do not use it when you need live endpoint telemetry, sandbox detonation analysis, or a full incident investigation. This skill is for MISP-centric landscape analysis, so it fits intelligence reporting better than host forensics or detection engineering on raw alerts.
How to Improve analyzing-threat-landscape-with-misp skill
Give it sharper analysis constraints
The most important way to improve results is to narrow the question. Instead of asking for “threat trends,” ask for a date range, a set of tags, and the exact decision you want to support. For example: “Identify the top three malware families in the last 60 days and explain whether they map to our email and endpoint detections.”
Use stronger source filters
If your MISP contains mixed-quality data, tell the skill what to trust. Mention published events, selected orgs, or only high-confidence tags. This reduces noise and makes the analyzing-threat-landscape-with-misp skill produce a cleaner threat landscape view.
Iterate on the first report
After the first output, ask for a second pass that tightens one gap: more context on a malware family, a clearer trend line, or a shorter executive version. The best improvement usually comes from refining the time window and the filtering rules, not from adding more general instructions.
Watch for common failure modes
The main failure modes are overcounting duplicate events, mixing old and recent activity, and drawing conclusions from tags without checking event volume. If you see those issues, feed back a request to separate published vs. unpublished data, deduplicate repeated indicators, and cite the exact MISP fields used in the analysis.