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Alternatives to secure-software-by-design

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables coding agents to load NASA-derived software-engineering rules before implementation, dynamically expand them as scope changes, and enforce an evidence-based final review gate.
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables agents to pre-flight scan code or files, query paired anti-pattern and verified-fix examples, evolve and self-verify new guardrails from failure traces, and recompile portable skills and instructions for coding agents.
      4
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.
      5
      2
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to turn vague requests into context-rich, bounded, verifiable engineering tasks by inspecting project context, generating implementation specs and options, enforcing change boundaries, and verifying results with evidence.
      29 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to add, security-scan, lock, route, and read approved AI skills and connectors, exposing permission labels, refusing tampered files, and holding risky updates for user review while keeping task context small.
      7
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      A runtime gate for coding agents. Blocks the tool calls that wreck a repo (force-push main, rm -rf, secret exfiltration, CI wipe) and lets normal build and commit work through. Machine-checked git-branch core (z3); the rest is high-precision heuristics. Tested on 3,790 real CI commands, 0 false blocks.
      1
      MIT