Campaign tracking
Use when documenting a named campaign across time and victims, the user asks to start or update a campaign record, or another skill identified a multi-incident cluster that warrants formal tracking. Provides the template (timeline, attribution, victimology, attack chain, Diamond Model mapping, IOC clusters) and the lifecycle from active to historical.From its SKILL.md
npx -y skills add Liberty91LTD/cti-skills --skill campaign-trackingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Campaign Tracking
A campaign is a coordinated set of malicious activities carried out by a threat actor against specific targets over a defined period.
Campaign Template
## Campaign: [Campaign ID / Name]
### Overview
| Field | Value |
|-------|-------|
| **Campaign ID** | CAMP-YYYY-MM-XXX |
| **Name** | [Descriptive name if known] |
| **Status** | Active / Dormant / Concluded |
| **First observed** | YYYY-MM-DD |
| **Last observed** | YYYY-MM-DD |
| **Attribution** | [Actor — with confidence level] |
| **Motivation** | [Espionage / Financial / Destruction / Hacktivism] |
### Timeline
| Date | Event | Source |
|------|-------|--------|
| YYYY-MM-DD | Initial delivery emails sent | Internal telemetry |
| YYYY-MM-DD | First successful compromise | Vendor report (B2) |
| YYYY-MM-DD | Lateral movement detected | SOC alert |
| YYYY-MM-DD | Data exfiltration observed | Network forensics |
### Attribution
[Assessment of who is behind this campaign, with confidence level. Reference threat actor profile if available.]
### Victimology
- **Sectors targeted**: [List]
- **Geographies**: [Countries/regions]
- **Number of known victims**: [Count with confidence]
- **Selection criteria**: [How were targets chosen? Opportunistic vs targeted?]
- **Common characteristics**: [What do victims have in common?]
### Attack Chain (Kill Chain / ATT&CK)
| Phase | Technique (ATT&CK) | Details |
|-------|-------------------|---------|
| Reconnaissance | T1598 Phishing for Information | Targeted LinkedIn messages to identify employees |
| Initial Access | T1566.001 Spearphishing Attachment | Malicious Word doc with macro |
| Execution | T1059.001 PowerShell | Macro downloads PowerShell stager |
| Persistence | T1547.001 Registry Run Keys | Run key added for backdoor |
| C2 | T1071.001 Application Layer Protocol | HTTPS to legitimate cloud service |
| Exfiltration | T1567.002 Exfiltration to Cloud Storage | Data uploaded to attacker-controlled cloud |
### Diamond Model
| Vertex | Details |
|--------|---------|
| **Adversary** | [Threat actor / group — reference profile] |
| **Capability** | [Malware, exploits, tools, techniques used] |
| **Infrastructure** | [C2 servers, staging, delivery infrastructure, domains] |
| **Victim** | [Targeted organisations, sectors, systems] |
**Meta-features:**
- **Direction**: [Adversary-to-Victim / Victim-to-Adversary / Bidirectional]
- **Methodology**: [Attack phases and progression]
- **Resources**: [Level of investment observed]
- **Social-Political**: [Geopolitical context driving the campaign]
- **Technology**: [Technology landscape enabling the campaign]
### IOC Clusters
#### Delivery Infrastructure
| Type | Value | First Seen | Status |
|------|-------|-----------|--------|
| Domain | phishing.example.com | 2026-01-15 | Active |
| IP | 203.0.113.42 | 2026-01-15 | Active |
#### C2 Infrastructure
| Type | Value | First Seen | Status |
|------|-------|-----------|--------|
| Domain | c2.badactor.net | 2026-01-20 | Active |
| IP | 198.51.100.10 | 2026-01-20 | Active |
#### Malware
| Hash (SHA-256) | Name | Type | First Seen |
|----------------|------|------|-----------|
| abc123... | loader.dll | Loader | 2026-01-15 |
### TTP Evolution During Campaign
[How have the attackers adapted? Changed tools? Modified techniques? Responded to detection?]
### Detection Guidance
[Reference to SIGMA/YARA/KQL rules created for this campaign. Link to data/detection-rules/.]
### Intelligence Gaps
[What we still don't know about this campaign]
### Sources
| Date | Source | Reliability | Key Finding |
|------|--------|-------------|-------------|
Campaign Linking
Campaigns may be related. Document relationships:
- Same infrastructure: Shared C2, shared registrant
- Same tooling: Same malware family or builder
- Same TTPs: Identical techniques across campaigns
- Same victimology: Same sector/geography targeting
- Temporal overlap: Concurrent operations
Campaign Lifecycle Management
- Detection: Initial indicators or vendor report triggers campaign tracking
- Active tracking: Continuous collection, IOC updates, TTP documentation
- Analysis: Attribution, Diamond Model mapping, impact assessment
- Reporting: Campaign report produced per intelligence-writing templates
- Conclusion: Campaign ends (dormant or concluded), move to historical
- Knowledge cell update: Feed findings into relevant knowledge cell
Related skills
- Build the IOC cluster —
/indicator-pivoting(multi-hop graph walk),/ioc-enrichment-workflow(bulk enrichment of raw IOCs) - Per-indicator first-hop investigation —
/ip-investigation,/domain-investigation,/hash-investigation,/url-investigation - Ransomware-group campaigns —
/lookup-ransomwarelive group-profile <name>returns the group's documented TTPs, leak-site infrastructure, and per-group IOC + YARA dumps; pair with/ransomware-ecosystemknowledge cell - Publish the campaign as a sharable artefact —
/lookup-misp create-eventwrites the cluster into your MISP instance;/stix-bundleproduces the STIX 2.1 representation;/lookup-opencti upload-stiximports that bundle into your OpenCTI knowledge base (orcreate-relationshipto link indicators to an existing campaign entity) - Actor attribution —
/threat-actor-profilingconsumes the campaign output to build / update an actor profile - Apply rigor to the campaign report —
/score-source,/apply-tlp,/confidence-language,/likelihood-language,/intelligence-writing
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most marketing audience skills give in ~1.3k tokens
Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07
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- Prioritize clarity over clevernessin 22 of 690, across 8 files
Said here and by no other author read
- use the campaign template
- document campaign relationships
- document shared infrastructure between campaigns
- document temporal overlap between campaigns
- track campaigns across the lifecycle
- update relevant knowledge cell at conclusion
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.