collecting-threat-intelligence-with-misp
by mukul975The collecting-threat-intelligence-with-misp skill helps you collect, normalize, search, and export threat intelligence in MISP. Use this collecting-threat-intelligence-with-misp guide for feeds, PyMISP workflows, event filtering, warninglist reduction, and practical collecting-threat-intelligence-with-misp for Threat Modeling and CTI operations.
This skill scores 84/100, which means it is a solid listing candidate for directory users who want MISP-specific threat-intelligence collection workflows rather than a generic prompt. The repository provides enough operational structure, API examples, and automation scripts to help an agent trigger and execute the skill with relatively low guesswork, though users should still expect some setup overhead around MISP access and dependencies.
- Concrete MISP workflow coverage: the skill explicitly covers deployment, threat feeds, PyMISP access, and automated IOC collection pipelines.
- Good agent leverage: references include PyMISP install and search examples, REST curl calls, standards guidance, and workflow diagrams that make execution more direct.
- Executable support files: scripts/agent.py and scripts/process.py indicate real automation beyond documentation, with feed management, export, and warninglist filtering.
- No install command in SKILL.md, so users must infer dependency setup and runtime requirements from references and scripts.
- Operational detail is uneven in places: the excerpted frontmatter and workflow signals are strong, but the repository still appears to rely on MISP familiarity and configured API access.
Overview of collecting-threat-intelligence-with-misp skill
What this skill does
The collecting-threat-intelligence-with-misp skill helps you gather, normalize, and use threat intelligence in MISP instead of treating MISP like a generic IOC database. It is best for analysts, SOC engineers, and automation builders who need a practical collecting-threat-intelligence-with-misp guide for feeds, event search, enrichment, and export.
Best-fit use cases
Use this collecting-threat-intelligence-with-misp skill when you need to pull data from community feeds, search events by tags or date, filter noisy indicators, or export intelligence into formats that other tools can consume. It is especially relevant for operational CTI workflows and collecting-threat-intelligence-with-misp for Threat Modeling when you need evidence-backed indicators rather than assumptions.
What matters before install
This skill is strongest when you already have a MISP instance or are ready to work with one, plus API access for PyMISP-based workflows. It is less useful if you only want a one-off prompt to summarize a report, or if you do not plan to manage feeds, tags, warninglists, or event lifecycles.
How to Use collecting-threat-intelligence-with-misp skill
Install and confirm the context
Install with npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill collecting-threat-intelligence-with-misp. Then verify your MISP URL, API key, and Python environment before asking for output. The collecting-threat-intelligence-with-misp install path assumes you can reach a live instance or a documented test instance.
Read these files first
Start with SKILL.md, then review references/workflows.md, references/api-reference.md, and references/standards.md. Use assets/template.md if you need a reporting structure, and inspect scripts/process.py and scripts/agent.py if you want to automate collection or export.
How to prompt it well
Give the skill a concrete job, not a vague topic. A strong collecting-threat-intelligence-with-misp usage prompt includes source type, time range, target output, and constraints, for example: “Collect published MISP events from the last 30 days tagged tlp:white, extract IPs, domains, and hashes, filter warninglist noise, and return a CSV-ready summary plus a short analyst note.”
Practical workflow
Use the skill in this order: define the collection goal, choose input sources, confirm filters, decide the output format, then iterate on the first pass. For best results, ask for one of these outputs at a time: feed plan, search query, enrichment summary, export mapping, or report template. Mixing all five in one prompt usually reduces quality.
collecting-threat-intelligence-with-misp skill FAQ
Is this skill only for MISP admins?
No. It is useful for analysts who query and curate intelligence, engineers who automate collection, and threat hunters who need reusable search and export patterns. You do not need to administer MISP to benefit from the collecting-threat-intelligence-with-misp skill.
How is this different from a normal prompt?
A normal prompt can ask for a MISP summary, but this skill guide points you to the files that matter, the standard fields to provide, and the workflow constraints that change the result. That reduces guesswork around tags, timestamps, feeds, and output format.
Is it beginner-friendly?
Yes, if you already understand basic CTI terms like IOC, feed, and indicator. It is not ideal as a first introduction to threat intelligence, but it is approachable for beginners who can supply a clear use case and accept a structured output.
When should I not use it?
Do not use it for non-MISP threat research, for unsupported ad hoc scraping, or when you need purely conceptual threat modeling with no collection workflow. If your task is only to brainstorm adversary behavior, a lighter CTI prompt may be faster.
How to Improve collecting-threat-intelligence-with-misp skill
Give sharper input data
The biggest quality gain comes from specifying scope: exact MISP instance, event tags, date window, sharing level, and desired indicator types. For example, “published events only, last 14 days, type:OSINT, extract ip-dst, domain, and sha256” produces better output than “collect threat intel.”
Use the right collection constraints
The skill works better when you state what should be excluded, such as warninglist hits, duplicate events, private events, or stale feeds. If you are using collecting-threat-intelligence-with-misp for Threat Modeling, also name the system, threat scenario, and what evidence should count as a relevant indicator.
Iterate from search to export
If the first result is too broad, narrow the search by tags, date range, or published status before asking for enrichment or export. If the result is too thin, ask the skill to widen source coverage or switch from event-level summaries to attribute-level extraction, then re-run the collecting-threat-intelligence-with-misp usage flow with the revised filters.