context safety score
A score of 45/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.
supply chain
Found 1 suspicious install hook pattern(s) in package manifests/scripts
supply chain
Found 1 remote script execution pattern(s) in CI/CD workflows
supply chain
Found 1 unexpected binary file(s) in source repository
typosquat
Repository name 'vinext' closely resembles 'vinxi' (a popular full-stack JavaScript framework). Combined with an empty SKILL.md and a nonsensical skill_description that is actually an HTML meta viewport string ('width=device-width, initial-scale=1'), this skill has no legitimate content and may be name-squatting to intercept users searching for vinxi or vite+next tools. (location: metadata.json (skill_name: migrate-to-vinext, repo: vinext))
scope violation
The skill_description field contains 'width=device-width, initial-scale=1' — an HTML meta viewport attribute value, not a skill description. This indicates the metadata was either scraped incorrectly from an HTML page or deliberately set to a nonsensical value. Combined with a completely empty SKILL.md, this skill defines zero documented capabilities while claiming 7.69M installs, suggesting the metadata is fabricated or the skill is a shell with no legitimate purpose. (location: metadata.json (skill_description field), SKILL.md (empty))
curl https://api.brin.sh/skill/cloudflare%2Fvinext%2Fmigrate-to-vinextCommon questions teams ask before deciding whether to use this skill in agent workflows.
cloudflare/vinext/migrate-to-vinext currently scores 45/100 with a suspicious verdict and medium confidence. The goal is to protect agents from high-risk context before they act on it. Treat this as a decision signal: higher scores suggest lower observed risk, while lower scores mean you should add review or block this skill.
Use the score as a policy threshold: 80–100 is safe, 50–79 is caution, 20–49 is suspicious, and 0–19 is dangerous. Teams often auto-allow safe, require human review for caution/suspicious, and block dangerous.
brin evaluates four dimensions: identity (source trust), behavior (runtime patterns), content (malicious instructions), and graph (relationship risk). Analysis runs in tiers: static signals, deterministic pattern checks, then AI semantic analysis when needed.
Identity checks source trust, behavior checks unusual runtime patterns, content checks for malicious instructions, and graph checks risky relationships to other entities. Looking at sub-scores helps you understand why an entity passed or failed.
brin performs risk assessments on external context before it reaches an AI agent. It scores that context for threats like prompt injection, hijacking, credential harvesting, and supply chain attacks, so teams can decide whether to block, review, or proceed safely.
No. A safe verdict means no significant risk signals were detected in this scan. It is not a formal guarantee; assessments are automated and point-in-time, so combine scores with your own controls and periodic re-checks.
Re-check before high-impact actions such as installs, upgrades, connecting MCP servers, executing remote code, or granting secrets. Use the API in CI or runtime gates so decisions are based on the latest scan.
Learn more in threat detection docs, how scoring works, and the API overview.
Assessments are automated and may contain errors. Findings are risk indicators, not confirmed threats. This is a point-in-time assessment; security posture can change.
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