threat-intel-fusion
Skill4 starsChanged 5 months agoMITView on GitHub
Threat intelligence fusion skill for collecting, normalizing, deduplicating, enriching, and operationalizing IOCs and TTPs from OTX, MISP, abuse.ch, VirusTotal, Shodan, GreyNoise, Censys, CISA KEV, NVD, vendor blogs, and internal telemetry. Use to build STIX/TAXII feeds, ATT&CK-mapped actor profiles, prioritized blocklists, and detection-ready intel packages.
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Prefer structured formats: STIX 2.1 objects, MISP events, ATT&CK technique IDs, CVE IDs, CPE strings.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Threat Intel Fusion
Operating Rules
- Separate observation, assessment, and recommendation. Tag every claim with source, date, and confidence.
- Prefer structured formats: STIX 2.1 objects, MISP events, ATT&CK technique IDs, CVE IDs, CPE strings.
- Decay IOC value over time; mark sightings, first/last seen, and TLP.
Fusion Workflow
- Collect: pull feeds with idempotent connectors; record raw payloads with hash and timestamp.
- Normalize: map to STIX SDOs and SROs (
indicator,malware,intrusion-set,attack-pattern,relationship). - Deduplicate: canonical-form domain/url/hash; merge by
id+pattern, keep all sightings. - Enrich: passive DNS, WHOIS, ASN, geo, VT, GreyNoise tags, sandbox verdicts, KEV/EPSS scores.
- Prioritize: score by exploitability, exposure in our environment, actor relevance, and decay.
- Operationalize: emit firewall/EDR/SIEM-ready artifacts plus Sigma rules and hunt queries.
Actor Profiling
- Aliases, motivations, sectors, geographies, observed TTPs (ATT&CK), tooling, infrastructure patterns, recent campaigns, and likely next moves with confidence.
Output Contract
feeds/: raw + normalized snapshots.iocs.stix.json: deduped STIX bundle with relationships.priority.csv:indicator, score, reason, action, ttl.actors/<name>.md: profile with sources.detections/: Sigma, YARA, Suricata, KQL, SPL exports.report.md: executive summary, what changed, what to action this week.
Other versions1 project uses a version of this.
Word for word · 1
- Garyson26/Trident-SecOps-Skills★ 1100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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- assembly-programmingSkill
- bug-bounty-workflowSkill
- claude-mythos-emulationSkill
- cloud-security-automationSkill
- cybersecurity-partnerSkill
- detection-engineeringSkill
- devsecopsSkill
- exploit-developmentSkill
- forensics-triageSkill
- gemini-tool-orchestratorSkill
- go-programmingSkill
- kubernetes-securitySkill
- malware-reverse-engineeringSkill
- multilingualSkill
- offensive-securitySkill
- osint-recon-automationSkill
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Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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