Improvement Executor
/install auto-improvement-executor
Improvement Executor
Applies accepted candidates with automatic backup and rollback.
When to Use
- 把已批准的改进候选应用到目标文件
- 回滚之前的变更(通过 receipt)
- 用
--dry-run预览变更
When NOT to Use
- 给候选打分 → use
improvement-discriminator - 门禁验证 → use
improvement-gate - 全流程编排 → use
improvement-orchestrator
CLI
# Apply a candidate (requires ranking artifact + candidate ID)
python3 scripts/execute.py \
--input ranking.json \ # REQUIRED: ranking artifact from discriminator
--candidate-id cand-01-docs \ # REQUIRED: which candidate to execute
--state-root /path/to/state \ # default: lib/state_machine.DEFAULT_STATE_ROOT
--output result.json \ # default: {state-root}/executions/{run-id}-{candidate-id}.json
--force # execute even if recommendation != accept_for_execution
# Rollback a previous change
python3 scripts/rollback.py --receipt receipt.json [--dry-run]
| Param | Default | When to change |
|---|---|---|
--input |
(required) | Always: path to ranking artifact JSON from discriminator |
--candidate-id |
(required) | Always: the id field of the candidate to execute |
--force |
false | Use to execute candidates with recommendation=hold (bypasses critic check) |
--output |
auto | Set for custom output location |
4 Action Types
| Action | Trigger | Behavior |
|---|---|---|
append_markdown_section |
execution_plan.action |
Appends heading + bulleted content lines at EOF. No-op if heading already exists |
replace_markdown_section |
execution_plan.action |
Finds section by heading match, replaces all lines until next same-or-higher-level heading |
insert_before_section |
execution_plan.action |
Inserts content lines before a matched heading |
update_yaml_frontmatter |
execution_plan.action |
Merges frontmatter_updates dict into YAML frontmatter (requires PyYAML) |
Backup Mechanism
Every execution creates a backup at {state-root}/executions/backups/{run-id}/{candidate-id}-{filename} BEFORE modifying the target. The backup path is stored in result.rollback_pointer.backup_path for gate-driven rollback.
Safety Guards
- Recommendation check: refuses to execute if
recommendation != accept_for_execution(use--forceto override) - Category check: only
EXECUTOR_SUPPORTED_CATEGORIES(docs, reference, guardrail) are auto-executable; others returnstatus=unsupported - File existence: target file must exist, otherwise SystemExit
- Execution trace: every run captures a structured
execution_tracedict with action, status, diff_summary for GEPA feedback loop
\x3Cexample> 正确: 执行一个 docs 类候选 $ python3 scripts/execute.py --input ranking.json --candidate-id cand-01-docs --state-root ./state → Backup: ./state/executions/backups/run001/cand-01-docs-README.md → Appended "## Operator Notes" section → stdout: ./state/executions/run001-cand-01-docs.json \x3C/example>
\x3Canti-example> 错误: 跳过 discriminator 直接执行 medium-risk candidate $ python3 scripts/execute.py --input ranking.json --candidate-id cand-04-prompt --force → category=prompt 不在 EXECUTOR_SUPPORTED_CATEGORIES → status=unsupported → medium/high risk 必须经 gate 走 pending_promote → 人工审批 \x3C/anti-example>
Output Artifact
{"stage": "executed", "status": "success", "candidate_id": "cand-01-docs",
"result": {"status": "success", "modified": true, "diff": "--- a/...",
"backup_path": "...", "rollback_pointer": {"method": "restore_backup_file",
"backup_path": "...", "target_path": "..."}},
"execution_trace": {"type": "execution_trace", "action": "append_markdown_section", ...},
"next_step": "apply_gate", "next_owner": "gate"}
Related Skills
- improvement-discriminator: Scores candidates → executor only runs
accept_for_executionones - improvement-gate: Validates execution results → may trigger rollback via
rollback_pointer - improvement-orchestrator: Calls executor as stage 4, passes ranking artifact + candidate ID
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-improvement-executor - After installation, invoke the skill by name or use
/auto-improvement-executor - Provide required inputs per the skill's parameter spec and get structured output
What is Improvement Executor?
当需要把已批准的改进候选应用到目标文件、回滚之前的变更、或预览变更效果时使用。支持 4 种 action(append/replace/insert_before/update_yaml),每次变更前自动备份。不用于打分(用 improvement-discriminator)或门禁验证(用 improvemen... It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.
How do I install Improvement Executor?
Run "/install auto-improvement-executor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Improvement Executor free?
Yes, Improvement Executor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Improvement Executor support?
Improvement Executor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Improvement Executor?
It is built and maintained by _silhouette (@lanyasheng); the current version is v1.0.0.