analyzing-campaign-attribution-evidence
Campaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attr
46
33%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/analyzing-campaign-attribution-evidence/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
W011: Third-party content exposure detected (indirect prompt injection risk)
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
Third-party content exposure detected (high risk: 0.80). The skill clearly fetches and ingests public threat-intel data that can influence attribution (e.g., scripts/process.py's compare_ttps path uses the attackcti client to pull MITRE ATT&CK groups/techniques, SKILL.md lists MISP/OpenCTI as required sources, and references/api-reference.md shows curl examples for PassiveTotal/VirusTotal), so untrusted third‑party content is read and used to drive analysis and decisions.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
c15f73d
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.