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DorianChn

agent-canary

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables defenders to deploy a decoy MCP tool server that records and fingerprints how LLM agents probe, escalate, and persist, without exposing real systems.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Tripwire detection for autonomous AI agents. Plants honeypot files, MCP tripwire tools, and API decoy endpoints to log agent scope creep and unauthorized tool use with full forensic context.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to defend against prompt injection by exposing decoy tools and transparently proxying real MCP servers to block injected calls.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Simulates sensitive internal tools as a honeypot to detect unauthorized access and AI agent behaviors using Canarytokens, deployed as a serverless Cloudflare Worker with MCP protocol support.
      21
      -
    • A
      license
      B
      quality
      C
      maintenance
      Enables deterministic security testing of AI agents that use tools by serving synthetic MCP environments with poisoned data, fake secrets, and privileged actions. Records agent tool calls and evaluates security invariants (e.g., canary leaks, forbidden access, approval binding) without an LLM judge or real systems.
      8
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Description: Introduce Beelzebub, an MCP‑based honeypot framework that enables creating decoy tools to detect prompt injection and malicious agent behavior. Motivation: Strengthen the security of LLM workflows by adding a non‑intrusive detection mechanism.
      2,176
      GPL 3.0

    TDQS

    A4.4/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each canary tool targets a distinct high-risk action (funds transfer, secret read, shell exec, file deletion, email, DB export, internal fetch, security disable, cloud console, k8s exec, secret rotation, git force push), so an agent can clearly tell them apart. The shared 'canary_' prefix and consistent 'represents an attempted X' framing reinforce the boundaries.

    Naming Consistency5/5

    All tools follow a uniform canary_<verb>_<object> pattern (e.g., canary_transfer_funds, canary_read_secrets, canary_k8s_exec). The naming is fully consistent and predictable.

    Tool Count5/5

    12 tools is well-scoped for a security-testing canary server covering a broad but finite set of dangerous operations. Each tool earns its place by representing a distinct attack/unsafe-action category.

    Completeness4/5

    The set covers a comprehensive range of common unsafe actions an agent might attempt (financial, secrets, shell, files, email, database, network, security controls, cloud, k8s, credentials, git). Minor gaps like canary_upload_artifact or canary_modify_iam could exist, but the surface is strong for its purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessWithin a week