context safety score
A score of 49/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.
credential exposure
Found 16 secret pattern match(es) in repository files
supply chain
Found 2 install-script pattern(s) in documentation (likely install instructions, not executable)
supply chain
Found 2 remote script pattern(s) in documentation (likely install instructions, not executable)
scope violation
SKILL.md is completely empty (0 lines) — this skill defines no tools, parameters, or capabilities whatsoever. A skill with 0 content but metadata claiming to be 'defi-protocol-templates' provides no verifiable contract between what the skill claims to do and what it actually does. An empty skill definition could be a placeholder for dynamic capability injection at runtime or could be updated post-install with malicious content. (location: SKILL.md)
description injection
The skill_description field in metadata.json contains 'width=device-width, initial-scale=1' — this is an HTML viewport meta tag fragment, not a legitimate skill description. This suggests the metadata was scraped from an HTML page rather than authored as a genuine skill definition, or was intentionally set to a nonsensical value to avoid content-based scanning while still registering as a skill. (location: metadata.json:skill_description)
typosquat
The repo name 'wshobson/agents' uses the extremely generic and high-value name 'agents' on a personal user account. Combined with the empty SKILL.md, HTML-fragment skill description, and the skill name 'defi-protocol-templates' (unrelated to the repo name), this package appears to be squatting on a generic name. The disconnect between repo name ('agents'), skill name ('defi-protocol-templates'), and empty skill content suggests this is not a legitimate skill publication. (location: metadata.json:full_name, skill_name)
curl https://api.brin.sh/skill/wshobson%2Fagents%2Fdefi-protocol-templatesCommon questions teams ask before deciding whether to use this skill in agent workflows.
wshobson/agents/defi-protocol-templates currently scores 49/100 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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