Security

👤 modeioai 📦 v0.1.0 ⭐ 4.3 ⬇️ 1K 下載
🔒 IT運維與安全 免費

📖 技能介紹


name: security description: >- Runs a backend-backed live safety check for instructions that may trigger tool execution, external calls, file edits, permission changes, destructive or irreversible actions, prompt injection, or compliance-sensitive operations. Use before executing instructions with side effects; skip pure read-only chat, planning, or pre-install repository auditing. version: 0.1.0 metadata: clawdbot: homepage: https://github.com/mode-io/mode-io-skills/tree/main/security requires: bins: - python3


Run backend-backed live safety checks

Use this skill to gate instructions that may trigger tools or state changes behind a backend-backed safety decision before execution.

This skill is for live instruction and operation safety only. For pre-install repository auditing, use skill-audit.

Maintainer-only validation assets are excluded from ClawHub uploads.

Scope

  • Included:
  • live instruction safety checks through scripts/safety.py
  • backend-backed retry/error normalization for pre-execution decisions

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  • Not included:
  • pre-install repository auditing (skill-audit)
  • content masking or restoration workflows (privacy-protector)
  • request/response gateway routing (modeio-middleware)

Working directory

Run these commands from inside the security folder.

Requirements

  • Hard requirement: python3
  • Required package for successful live checks: requests
  • Required runtime condition: network reachability to the safety backend
  • Optional override: SAFETY_API_URL

Core commands

python3 scripts/safety.py -i "Delete /tmp/cache/build-123.log" \
  -c '{"environment":"local-dev","operation_intent":"cleanup","scope":"single-resource","data_sensitivity":"internal","rollback":"easy","change_control":"none"}' \
  -t "/tmp/cache/build-123.log" --json

python3 scripts/safety.py -i "DROP TABLE users" \
  -c '{"environment":"production","operation_intent":"destructive","scope":"broad","data_sensitivity":"regulated","rollback":"none","change_control":"ticket:DB-9021"}' \
  -t "postgres://prod/maindb.users" --json

Context contract

Pass --context as JSON with these keys when the instruction may change state:

{
  "environment": "local-dev|ci|staging|production|unknown",
  "operation_intent": "read-only|cleanup|maintenance|migration|permission-change|destructive|unknown",
  "scope": "single-resource|bounded-batch|broad|unknown",
  "data_sensitivity": "public|internal|sensitive|regulated|unknown",
  "rollback": "easy|partial|none|unknown",
  "change_control": "ticket:<id>|approved-manual|none|unknown"
}

--target should be a concrete resource identifier such as an absolute path, table name, service name, or URL.

Runtime notes

  • Success envelope: success, tool, mode, data
  • Error envelope: success, tool, mode, error
  • Error types: validation_error, dependency_error, network_error, api_error
  • For state-changing work, provide both --context and --target so the backend has enough context to judge risk
  • If the check fails with network/API/dependency issues, do not silently proceed
  • The CLI forwards the request and returns the backend result; it does not locally enforce caller policy

Caller policy guidance

approved risk_level Agent action
true low Proceed.
true medium Proceed and mention the risk.
false medium Require explicit confirmation before proceeding.
false high Block by default and require explicit override.
false critical Block and require explicit acknowledgement before any override.

Resources

  • scripts/safety.py — live safety check entry point
  • ARCHITECTURE.md — command-safety package boundaries

When not to use

  • Pre-install or repository-level inspection that should happen before any execution attempt
  • Pure planning, summarization, or clearly read-only analysis with no tool call or state-change path
  • Data transformation tasks that need to rewrite or mask content rather than score runtime safety
  • Local routing or middleware scenarios where you need to sit in front of upstream model traffic

🤖 AI 評測

這是一個質量較高的安全檢查工具,核心功能明確且實現可靠。它能幫助在執行敏感操作前評估風險,並給出清晰的決策建議。主要優點是錯誤處理完善(網路波動不會導致誤判)、文件清晰、測試覆蓋充分。不足之處是依賴後端服務可用性,且缺少面向非技術使用者的簡明說明文件。對於需要安全管控的團隊來說,這個工具實用價值明顯。.

📊 多維度評分

適應性4.5
規範性3.9
有效性4.5
可靠性4.5
可信度4

📁 包含檔案 (8 個)

📄 ARCHITECTURE.md 867 B
📄 SKILL.md 4.1 KB
📄 _meta.json 129 B
📄 modeio_guardrail/__init__.py 24 B
📄 modeio_guardrail/cli/__init__.py 36 B
📄 modeio_guardrail/cli/safety.py 8.1 KB
📄 scripts/safety.py 367 B
📄 tests/test_safety_contract.py 11.4 KB