Improvement Gate
/install auto-improvement-gate
Improvement Gate
7-layer mechanical quality gate: any required layer fail = reject/revert.
When to Use
- 验证已执行的候选是否应保留(gate.py)
- 管理人工审核队列(review.py --list)
- 完成待审批项(review.py --complete)
When NOT to Use
- 给候选打分 → use
improvement-discriminator - 执行文件变更 → use
improvement-executor - 评估 skill 结构 → use
improvement-learner
7-Layer Gate
| Layer | Gate | Required | Pass Condition |
|---|---|---|---|
| 0 | SchemaGate | Yes | Candidate has id, category, risk_level, execution_plan |
| 1 | CompileGate | Yes | Modified .py files pass py_compile; non-Python files auto-pass |
| 2 | LintGate | No (advisory) | No lines >120 chars, no mixed tabs/spaces in diff |
| 3 | RegressionGate | Yes | Evaluator verdict != "reject" (checks evaluator_evidence) |
| 4 | ReviewGate | Yes | Discriminator recommendation=accept AND panel not DISPUTED AND LLM judge != reject |
| 5 | DoubtGate | Yes | Candidate text has \x3C threshold hedging words (threshold varies by category: docs=2, prompt=4, code=3) |
| 6 | HumanReviewGate | No (advisory) | Flags needs_human=true for medium/high risk or prompt/workflow/tests/code categories |
Gate execution: layers run sequentially. First required-layer failure stops execution and triggers revert (if file was modified) or reject.
CLI — gate.py
python3 scripts/gate.py \
--ranking ranking.json \ # REQUIRED: ranking artifact from discriminator
--execution execution.json \ # REQUIRED: execution artifact from executor
--state-root /path/to/state \ # default: lib/state_machine.DEFAULT_STATE_ROOT
--evaluation eval.json \ # optional: evaluator artifact (forwarded by orchestrator)
--layers schema,compile,review \ # optional: run only these layers (default: all 7)
--output receipt.json # default: auto-generated path
| Param | Default | When to change |
|---|---|---|
--layers |
all 7 | Use schema,compile for fast structural checks only |
--evaluation |
None | Orchestrator passes this automatically when evaluator ran |
CLI — review.py (Human Review Queue)
# List pending human reviews
python3 scripts/review.py --state-root /path/to/state --list
# Complete a review
python3 scripts/review.py --state-root /path/to/state \
--complete review-cand-01-docs \
--decision approve \ # approve | reject
--reason "低风险文档变更,LGTM" \
--reviewer engineer-name # default: cli-user
4-Way Decision Logic (after all required layers pass)
| Condition | Decision | Action |
|---|---|---|
accept_for_execution + low-risk docs/reference/guardrail + success |
keep | File stays modified |
recommendation=reject |
revert | Restore backup, append to veto log |
recommendation=hold OR non-auto-keep-eligible |
pending_promote | Restore backup, create review request |
execution.status=unsupported |
reject | No file change, log reason |
如果 HumanReviewGate 标记 needs_human=true,即使 keep eligible 也会升级为 pending_promote。
\x3Cexample> 正确: gate 返回 pending_promote → 查审批队列 → 人工批准 $ python3 scripts/review.py --state-root ./state --list → ID: review-cand-01-docs Category: docs Risk: low Since: 2025-01-15T10:00:00Z $ python3 scripts/review.py --state-root ./state --complete review-cand-01-docs --decision approve --reason "confirmed safe" → Review review-cand-01-docs completed: approve \x3C/example>
\x3Canti-example> 错误: gate 返回 revert 后仍然保留文件变更 → revert 时 gate 自动调用 restore_backup(),原文件已恢复。不要手动跳过。 \x3C/anti-example>
Output — Gate Receipt
{"decision": "keep", "reason": "low-risk docs candidate executed successfully",
"gate_layers": {"all_passed": true, "layers_run": 7, "layer_results": [...]},
"rollback": {"attempted": false}, "next_step": "propose_candidates", "next_owner": "proposer"}
Related Skills
- improvement-discriminator: ReviewGate checks its panel consensus + LLM verdict
- improvement-executor: Gate validates executor output; reverts via
rollback_pointer - improvement-evaluator: RegressionGate checks evaluator verdict when
--evaluationprovided - improvement-orchestrator: Calls gate as stage 5, forwards evaluator artifact
- benchmark-store: Pareto front data consumed by RegressionGate
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-improvement-gate - After installation, invoke the skill by name or use
/auto-improvement-gate - Provide required inputs per the skill's parameter spec and get structured output
What is Improvement Gate?
当执行完变更需要验证是否应保留、候选被标记 pending 需要人工审批、或想查看待审队列时使用。7 层机械门禁: Schema→Compile→Lint→Regression→Review→Doubt→HumanReview,任一 required 层失败即拒绝。不用于打分(用 improvement-disc... It is an AI Agent Skill for Claude Code / OpenClaw, with 125 downloads so far.
How do I install Improvement Gate?
Run "/install auto-improvement-gate" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Improvement Gate free?
Yes, Improvement Gate is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Improvement Gate support?
Improvement Gate is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Improvement Gate?
It is built and maintained by _silhouette (@lanyasheng); the current version is v1.0.0.