Security

👤 modeioai 📦 v0.1.1 ⭐ 4.5 ⬇️ 1.1K 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
  • 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

    來源於7w4.net。

  • 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

這個安全檢查工具質量較好,核心功能實現完整,錯誤處理考慮周全,使用起來比較可靠。文件清晰、示例充足,開發者上手容易。不過測試覆蓋可以更全面,部分邊界情況缺少驗證。總體上這是一個值得信賴的安全檢查工具,但建議在生產環境中充分測試後再投入使用。

📊 多維度評分

適應性4.5
規範性4.3
有效性4.4
可靠性4.7
可信度4.4

📁 包含檔案 (8 個)

📄 ARCHITECTURE.md 867 B
📄 SKILL.md 4.1 KB
📄 _meta.json 134 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