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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
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Deploy MISP via Docker and configure feeds from sources like abuse.ch, AlienVault OTX, and CIRCL to aggregate, correlate, and distribute threat intelligence, including automated feed synchronization a
correlating-security-events-in-qradar
Correlates security events in IBM QRadar SIEM using AQL (Ariel Query Language), custom rules, building blocks, and offense management to detect multi-stage attacks across network, endpoint, and applic
correlating-threat-campaigns
Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify unified threat campaigns, attribute them to common threat actors, and extract shared in
performing-false-positive-reduction-in-siem
Reduces SIEM false positives through systematic rule tuning, threshold adjustment, correlation logic refinement, allowlisting, and threat intelligence enrichment. Use when SOC analysts are overwhelmed
performing-false-positive-reduction-in-siem
Perform systematic SIEM false positive reduction through rule tuning, threshold adjustment, correlation refinement, and threat intelligence enrichment to combat alert fatigue.
performing-false-positive-reduction-in-siem
Reduces SIEM false positives through systematic rule tuning, threshold adjustment, correlation logic refinement, allowlisting, and threat intelligence enrichment. Use when SOC analysts are overwhelmed
performing-false-positive-reduction-in-siem
Reduces SIEM false positives through systematic rule tuning, threshold adjustment, correlation logic refinement, allowlisting, and threat intelligence enrichment. Use when SOC analysts are overwhelmed
performing-false-positive-reduction-in-siem
Reduces SIEM false positives through systematic rule tuning, threshold adjustment, correlation logic refinement, allowlisting, and threat intelligence enrichment. Use when SOC analysts are overwhelmed
performing-false-positive-reduction-in-siem
Reduces SIEM false positives through systematic rule tuning, threshold adjustment, correlation logic refinement, allowlisting, and threat intelligence enrichment. Use when SOC analysts are overwhelmed
performing-false-positive-reduction-in-siem
Reduces SIEM false positives through systematic rule tuning, threshold adjustment, correlation logic refinement, allowlisting, and threat intelligence enrichment. Use when SOC analysts are overwhelmed
correlating-security-events-in-qradar
Correlates security events in IBM QRadar SIEM using AQL (Ariel Query Language), custom rules, building blocks, and offense management to detect multi-stage attacks across network, endpoint, and applic
Find
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.
Prefer the terminal? osr stack apply registry://starter installs the starter template.