agent-safety-governance
Safety and governance framework for autonomous AI agents. Validates agent actions before execution, enforces permission boundaries, detects dangerous patterns (file deletion, env modification, network calls), and maintains audit trails. Use before deploying autonomous agents or when reviewing agent-generated code.
- License 许可
- MIT
- 最近更新
- 2026-07-12
- Stars
- ★ 0
- Forks
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01 前言 Front Matter
- name
- agent-safety-governance
- risk
- low
- source
- github/awesome-copilot
- description
- Safety and governance framework for autonomous AI agents. Validates agent actions before execution, enforces permission boundaries, detects dangerous patterns (file deletion, env modification, network calls), and maintains audit trails. Use before deploying autonomous agents or when reviewing agent-generated code.
03 SKILL.md 正文
Agent Safety & Governance Framework
Validate, constrain, and audit autonomous agent actions before they affect production systems. Based on the Agent Safety Reviewer and Devil's Advocate agents from github/awesome-copilot.
Core Principle
"An autonomous agent that can't be stopped is not an asset — it's a liability."
Safety governance answers: What can this agent do? What should it NOT do? Who reviews what it did?
Risk Classification
Action Risk Levels
| Risk Level | Examples | Approval Required |
|---|---|---|
| 🟢 LOW | Read files, search codebase, generate code suggestions | None — auto-execute |
| 🟡 MEDIUM | Write/edit files, install packages, run tests | Log + continue |
| 🟠HIGH | Delete files, modify config, commit/push | Human review checkpoint |
| 🔴 CRITICAL | Drop database, modify secrets, external API calls with side effects | Explicit confirmation + audit |
Pre-Execution Checklist
Before any autonomous task, validate:
1. Scope Validation
✅ Does the task stay within the defined scope?
✅ Are the files to be modified listed in the task manifest?
✅ Is the agent working in the correct project directory?
✅ Is there a git checkpoint to rollback to?
2. Dangerous Pattern Detection
Scan planned actions for:
DANGEROUS_PATTERNS = [
# File operations
"rm -rf", "shutil.rmtree", "fs.rmSync", "os.remove",
# Environment modification
".env", "process.env", "os.environ", "secrets",
# Network with side effects
"POST /production", "DELETE /api", "PUT /prod",
# Database
"DROP TABLE", "DELETE FROM", "TRUNCATE",
# Shell injection risks
"subprocess.call", "exec(", "eval(", "shell=True",
# Credential exposure
"password", "api_key", "token", "secret" + "print|log|console"
]
If any pattern detected → PAUSE and require human review.
3. Resource Limits
agent_limits:
max_files_modified: 20 # Per task
max_file_size_kb: 500 # Max file to write
max_test_iterations: 10 # TDD fix loops
max_orchestration_depth: 5 # Nested sub-agents
timeout_minutes: 30 # Hard stop
allowed_directories:
- "src/"
- "tests/"
- "docs/"
forbidden_directories:
- ".env*"
- "*.secret"
- "infra/"
- ".ssh/"
Devil's Advocate Review
Before completing any significant change, apply adversarial review:
Questions to challenge the solution:
Correctness:
- What happens if the input is null/empty/negative?
- What's the worst-case performance (time + memory)?
- Are all error paths handled?
Security:
- Does this introduce any SQL injection vectors?
- Could an attacker exploit this change?
- Are secrets ever logged or exposed?
Reliability:
- What happens if the database is down?
- What if the external API returns 500?
- Is this idempotent (safe to call twice)?
Maintainability:
- Will the next developer understand this in 6 months?
- Are the test names descriptive enough?
- Is there hidden coupling?
Completeness:
- Were any edge cases missed?
- Are migrations backwards-compatible?
- Is the documentation updated?
Audit Trail Format
Every agent action should be logged:
{"ts":"2026-02-23T14:30:00Z","agent":"gem-orchestrator","action":"write_file","path":"src/services/user.ts","risk":"medium","outcome":"success","lines_changed":47}
{"ts":"2026-02-23T14:30:15Z","agent":"polyglot-test-pipeline","action":"run_tests","framework":"jest","outcome":"8_pass_0_fail","coverage":"87%"}
{"ts":"2026-02-23T14:31:00Z","agent":"context-architect","action":"multi_file_change","files_affected":5,"risk":"high","human_reviewed":true,"outcome":"success"}
Log location: copilot-agent/audit-log.jsonl
Rollback Protocol
Automatic rollback triggers:
- Test failure rate > 20% after agent changes
- TypeScript/compile errors introduced
- File deletion detected outside whitelist
- Timeout exceeded
Rollback commands:
# Git rollback
git stash # undo uncommitted changes
git reset --hard HEAD~1 # undo last commit
# PowerShell equivalent
git checkout -- . # discard all unstaged changes
Checkpoint strategy:
Before starting: git commit -m "checkpoint: pre-agent-task"
After each phase: git commit -m "checkpoint: post-research-phase"
After completion: git commit -m "feat: <description> [agent-assisted]"
Governance Checklist (for Agent Task Review)
Use this checklist when reviewing agent-proposed changes:
SCOPE
[ ] Changes are confined to listed files
[ ] No unauthorized external API calls
[ ] No credential or secret access
CODE QUALITY
[ ] Tests written or updated
[ ] No obvious security vulnerabilities
[ ] Error handling present
[ ] No dead code introduced
SAFETY
[ ] No irreversible operations (unguarded deletes)
[ ] Rollback is possible at any point
[ ] Audit log entry created
COMPLETENESS
[ ] All acceptance criteria met
[ ] Documentation updated if public API changed
[ ] Migration scripts included if schema changed
Integration with Free JT7
- Use with
agent-orchestrationto add safety gates between sub-agent calls - Apply Devil's Advocate review before
context-multi-filecommits - Combine with
verification-before-completionfor final checks - Log to
copilot-agent/audit-log.jsonl(already used by Free JT7 agent system)
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