Analyzing Campaign Attribution Evidence
mukul975/Anthropic-Cybersecurity-Skills/skills/analyzing-campaign-attribution-evidenceby mukul97554a798831d2266a3ca61ce68a7acb80b81160d57Apache-2.0Listed Oct 9, 2026Updated Oct 9, 2026
Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| assets/template.md | 1003 B | text/markdown |
| LICENSE | 11 KB | text/plain |
| references/api-reference.md | 3.1 KB | text/markdown |
| references/standards.md | 1.1 KB | text/markdown |
| references/workflows.md | 1.4 KB | text/markdown |
| scripts/agent.py | 9.9 KB | text/plain |
| scripts/process.py | 5.9 KB | text/plain |
| SKILL.md | 9 KB | text/markdown |
Source and attribution
Source:mukul975/Anthropic-Cybersecurity-Skillsinskills/analyzing-campaign-attribution-evidenceat commit54a7988
License: Apache-2.0
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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