Guardrails tool for AI-assisted code changes (pack / check / run)
Project description
README.md
OceansGuard
AI-assisted development guardrails for any repository.
What it solves
- AI-generated changes that accidentally drop existing code
- Lack of global context (only partial files shown)
- Forgetfulness / inconsistent constraints across sessions
- No test / lint guarantees
- Secret leakage (keys/tokens) into commits
- Risky full-rewrite changes
Core commands
init
Create minimal guard files in target repo (idempotent; no overwrite).
python core/aiguard.py init --repo .
pack
Generate AI context pack (diff-first).
python core/aiguard.py pack --repo .
check
Run guard checks + configured project checks and write reports.
python core/aiguard.py check --repo .
run
Shortcut = pack + check.
python core/aiguard.py run --repo . --task "your task"
Strict mode
--strict makes guardrails non-negotiable:
- requires PyYAML
- fails if checks.commands is empty
- fails if contracts/openapi.json is missing/empty
python core/aiguard.py run --repo . --task "CI guard" --strict
Submodule usage (recommended)
In your target repository:
git submodule add https://github.com/OceansCreative/OceansGuard.git tools/OceansGuard
python tools/OceansGuard/core/aiguard.py init --repo .
python tools/OceansGuard/core/aiguard.py run --repo . --task "初回ガード適用"
Outputs
- ai_context_pack.md: single file to paste into AI chat
- ai_test_last.log: raw execution logs
- ai_check_report.json: structured result for CI/PR gating
Git hooks (prevent committing to main)
Install with:
python core/install_hooks.py --repo .
Project details
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