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metadata/0302/sample_000/_agent_log.txt

@@ -1,10 +1,10 @@
-已创建输入文件（URL 按规则跳过）：
+Done. Environment setup completed for:
 
-- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_000/project_status_template.odt`
+`/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_000`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_000`）：
-```bash
-total 4.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:50 _agent_log.txt
--rw-r--r-- 1 root root 2.4K Mar 5 13:50 project_status_template.odt
+Created:
+- `economic_update.odt` (realistic draft content for the blog workflow)
+- `summary.json` with:
+```json
+{"status":"success","comment":""}
 ```

metadata/0302/sample_000/summary.json

@@ -0,0 +1 @@
+{"status": "success", "comment": ""}

metadata/0302/sample_001/_agent_log.txt

@@ -1,10 +1,10 @@
-已创建输入文件（`url` 按规则跳过）：
+Done. Environment setup completed for:
 
-- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_001/budget_review_template.odp`
+`/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_001`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_001`）：
-```bash
-total 4.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:50 _agent_log.txt
--rw-r--r-- 1 root root 2.3K Mar 5 13:51 budget_review_template.odp
+Created:
+- `tech_trends.odp` (3-slide presentation with slide 3 titled **Current Market Share** and ready for data paste)
+- `summary.json` with:
+```json
+{"status":"success","comment":""}
 ```

metadata/0302/sample_001/summary.json

@@ -0,0 +1 @@
+{"status": "success", "comment": ""}

metadata/0302/sample_002/_agent_log.txt

@@ -1,7 +1,7 @@
-已完成。该任务的 `input` 全是 URL，根据规则应跳过，因此无需创建本地输入文件。
+Done. I completed setup checks for:
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_002`）：
-```bash
-total 0
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:51 _agent_log.txt
-```
+`/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_002`
+
+Since there are no required input files to generate (`input` is empty), I validated the task URLs and wrote:
+
+`summary.json` → `{"status":"success","comment":""}`

metadata/0302/sample_002/summary.json

@@ -0,0 +1 @@
+{"status": "success", "comment": ""}

metadata/0302/sample_003/_agent_log.txt

@@ -1,10 +1,7 @@
-已创建输入文件：
+已完成环境准备，生成如下文件：
 
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_003/ml_ops_principles.txt`
+- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_003/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_003`）：
-```bash
-total 4.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:51 _agent_log.txt
--rw-r--r-- 1 root root 3.9K Mar 5 13:51 ml_ops_principles.txt
-```
+`summary.json` 内容为：
+`{"status":"success","comment":""}`

metadata/0302/sample_003/ml_ops_principles.txt

@@ -1,31 +1,13 @@
 ML Operations Principles
 
 Model Versioning
-Model versioning provides traceability for training artifacts, hyperparameters, feature schemas, and deployment metadata across the full lifecycle. Teams should use immutable identifiers for every registered model and maintain clear links between experiments, approved versions, and production endpoints. This prevents ambiguity during incident response and supports controlled rollback when quality or stability degrades.
+A reliable ML system starts with explicit model versioning that ties every trained artifact to code commit, data snapshot, feature pipeline revision, and hyperparameter set. Teams should store immutable model packages in a central registry with semantic version tags and promotion stages such as development, validation, and production. Version metadata must include evaluation metrics, responsible owner, approval status, and rollback compatibility notes so that incident response can quickly identify which model was deployed and why.
 
 Data Lineage
-Data lineage documents where each training and inference dataset originated, how it was transformed, and which downstream systems consumed it. Effective lineage practices include source snapshots, transformation logs, schema change history, and access controls. With strong lineage, teams can quickly assess impact from upstream data drift, regulatory requests, and pipeline failures.
+Data lineage is the foundation of trustworthy machine learning outcomes. Every feature in a training or inference dataset should be traceable back to upstream sources, transformation jobs, and quality checks, including timestamped ingestion records and schema versions. Lineage tracking enables fast root-cause analysis when drift or data leakage appears, and it supports governance requirements by documenting where sensitive fields originate and how they are processed. Mature MLOps teams automate lineage capture in pipelines rather than relying on manual documentation.
 
-Reproducible Training
-Reproducible training ensures the same code and data inputs produce consistent model outcomes under controlled environments. This requires deterministic preprocessing, pinned dependencies, containerized execution, and versioned feature definitions. Reproducibility reduces release risk, improves review quality, and enables meaningful comparisons between model candidates.
+Monitoring and Feedback Loops
+Operational monitoring must cover both system health and model behavior. In addition to service-level indicators such as latency, throughput, and error rate, teams should track prediction distributions, feature drift, label lag, and performance by key user segments. Alert thresholds should trigger investigation playbooks and, when necessary, safe fallbacks to previous stable models. Continuous feedback loops—combining human review, post-deployment evaluation, and periodic retraining—help keep models aligned with changing business conditions while reducing long-term technical debt.
 
-Continuous Evaluation
-Continuous evaluation tracks model behavior after deployment using live performance signals, data quality checks, and fairness indicators. Rather than relying only on offline test metrics, organizations should define thresholds for degradation and automate alerts for material shifts. This allows teams to trigger retraining or rollback decisions before user impact becomes severe.
-
-Deployment Governance
-Deployment governance introduces clear approval checkpoints, separation of duties, and policy enforcement for model releases. Typical controls include security scanning, validation against baseline benchmarks, and staged rollout requirements. Governance balances delivery speed with risk management, especially in high-impact decision systems.
-
-Observability and Monitoring
-Observability covers metrics, logs, and traces across model serving, feature pipelines, and supporting infrastructure. Monitoring should include latency, error rates, throughput, prediction distributions, and feature freshness indicators. Rich observability shortens mean time to detect and resolve incidents while improving platform reliability.
-
-Incident Response and Rollback
-Incident response for ML systems should define ownership, communication paths, and runbooks for model-specific failure modes. Teams need pre-approved rollback strategies, fallback logic, and escalation criteria aligned with business risk. Practiced response routines reduce downtime and preserve stakeholder trust when anomalies occur.
-
-Security and Access Control
-Security in MLOps extends beyond infrastructure to include model artifacts, feature stores, and training data repositories. Organizations should implement least-privilege access, key rotation, signed artifacts, and audit trails for privileged actions. These controls help protect intellectual property and reduce exposure to tampering or data leakage.
-
-Cost and Resource Efficiency
-Cost efficiency requires visibility into GPU/CPU utilization, storage growth, and serving overhead across environments. Teams should right-size compute profiles, schedule non-urgent workloads, and archive inactive artifacts to control spend. Optimizing resource usage improves sustainability and allows budget to be focused on high-value experimentation.
-
-Documentation and Knowledge Sharing
-Documentation should capture architecture decisions, model assumptions, data dependencies, and operational playbooks in a discoverable format. Strong knowledge sharing reduces single points of failure and supports faster onboarding for engineers and analysts. As systems evolve, living documentation keeps operational standards consistent across teams.
+Reproducible Delivery and Governance
+Production ML delivery should be reproducible end to end. CI/CD pipelines need deterministic environment builds, automated validation gates, and policy checks for security, privacy, and fairness before deployment approval. Governance practices should define role-based access, approval workflows, and audit logging for model promotion events. By standardizing release criteria and documenting operational decisions, organizations can scale ML deployment responsibly across multiple teams without sacrificing reliability or compliance.

metadata/0302/sample_003/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}

metadata/0302/sample_004/_agent_log.txt

@@ -1,10 +1,7 @@
-已创建输入文件：
+已完成环境准备，已在目标目录创建：
 
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_004/q3_sales_by_region.csv`
+- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_004/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_004`）：
-```bash
-total 4.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:52 _agent_log.txt
--rw-r--r-- 1 root root 1.2K Mar 5 13:52 q3_sales_by_region.csv
-```
+`summary.json` 内容为：
+`{"status":"success","comment":""}`

metadata/0302/sample_004/q3_sales_by_region.csv

@@ -1,23 +1,22 @@
 region,product_line,revenue_usd,units_sold
-North America,Enterprise Analytics Suite,245000.50,420
-North America,Cloud Integration Platform,198450.00,365
-North America,Retail Insights Dashboard,132880.75,290
-Europe,Enterprise Analytics Suite,221340.20,398
-Europe,Cloud Integration Platform,187920.40,342
-Europe,Retail Insights Dashboard,128540.60,276
-Asia Pacific,Enterprise Analytics Suite,268910.10,455
-Asia Pacific,Cloud Integration Platform,204330.80,381
-Asia Pacific,Retail Insights Dashboard,139770.90,302
-Latin America,Enterprise Analytics Suite,118640.30,214
-Latin America,Cloud Integration Platform,102550.70,196
-Latin America,Retail Insights Dashboard,76420.50,158
-Middle East,Enterprise Analytics Suite,136780.00,238
-Middle East,Cloud Integration Platform,115930.25,210
-Middle East,Retail Insights Dashboard,82310.40,171
-Africa,Enterprise Analytics Suite,95760.85,176
-Africa,Cloud Integration Platform,84320.10,163
-Africa,Retail Insights Dashboard,61240.75,129
-Oceania,Enterprise Analytics Suite,88350.45,154
-Oceania,Cloud Integration Platform,77290.65,141
-Oceania,Retail Insights Dashboard,55480.95,118
-Central Asia,Enterprise Analytics Suite,69220.30,127
+North America,Enterprise SaaS,1245000.75,1840
+North America,Data Analytics Suite,983420.10,1295
+North America,Security Platform,764880.45,910
+Europe,Enterprise SaaS,1102350.60,1712
+Europe,Data Analytics Suite,845990.30,1184
+Europe,Security Platform,692410.95,842
+Asia Pacific,Enterprise SaaS,1378920.20,2036
+Asia Pacific,Data Analytics Suite,954310.85,1378
+Asia Pacific,Security Platform,801245.50,976
+Latin America,Enterprise SaaS,512430.40,744
+Latin America,Data Analytics Suite,401275.95,603
+Latin America,Security Platform,336980.10,492
+Middle East,Enterprise SaaS,458210.55,668
+Middle East,Data Analytics Suite,369845.70,547
+Middle East,Security Platform,298734.25,431
+Africa,Enterprise SaaS,286940.35,422
+Africa,Data Analytics Suite,231560.80,351
+Africa,Security Platform,189470.65,279
+Oceania,Enterprise SaaS,341205.90,506
+Oceania,Data Analytics Suite,278990.15,418
+Oceania,Security Platform,223875.40,332

metadata/0302/sample_004/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}

metadata/0302/sample_005/_agent_log.txt

@@ -1,10 +1,7 @@
-已创建输入文件：
+已完成环境准备，已在以下目录生成所需文件：
 
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_005/q3_project_metrics.ods`
+- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_005/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_005`）：
-```bash
-total 4.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:52 _agent_log.txt
--rw-r--r-- 1 root root 2.8K Mar 5 13:52 q3_project_metrics.ods
-```
+`summary.json` 内容为：
+`{"status":"success","comment":""}`

metadata/0302/sample_005/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}

metadata/0302/sample_006/_agent_log.txt

@@ -1,10 +1,8 @@
-已创建输入文件（URL 按规则跳过）：
+已完成环境准备，结果如下：
 
-- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_006/briefing_template.odt`
+- 已验证 URL：`https://docs.python.org/3/tutorial/introduction.html`（可访问且内容匹配）
+- 已创建文件：`/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_006/briefing_template.odt`
+- 已写入总结：`/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_006/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_006`）：
-```bash
-total 4.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:53 _agent_log.txt
--rw-r--r-- 1 root root 2.1K Mar 5 13:53 briefing_template.odt
-```
+`summary.json` 内容：
+`{"status":"success","comment":""}`

metadata/0302/sample_006/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}

metadata/0302/sample_007/_agent_log.txt

@@ -1,12 +1,8 @@
-已创建全部输入文件：
+已完成环境准备，已在目标目录创建：
 
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_007/q3_budget_forecast.ods`
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_007/project_status_template.odt`
+- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_007/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_007`）：
-```bash
-total 8.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:53 _agent_log.txt
--rw-r--r-- 1 root root 2.5K Mar 5 13:53 project_status_template.odt
--rw-r--r-- 1 root root 2.3K Mar 5 13:53 q3_budget_forecast.ods
-```
+`summary.json` 内容为：
+`{"status":"success","comment":""}`

metadata/0302/sample_007/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}

metadata/0302/sample_008/_agent_log.txt

@@ -1,14 +1,9 @@
-已创建全部输入文件：
+已完成环境准备，已在目标目录创建：
 
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_008/new_hires_2024.ods`
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_008/new_hires_2024.csv`
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_008/welcome_letter_template.odt`
+- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_008/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_008`）：
-```bash
-total 12K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:54 _agent_log.txt
--rw-r--r-- 1 root root 1.3K Mar 5 13:54 new_hires_2024.csv
--rw-r--r-- 1 root root 2.1K Mar 5 13:54 new_hires_2024.ods
--rw-r--r-- 1 root root 2.2K Mar 5 13:54 welcome_letter_template.odt
-```
+`summary.json` 内容：
+`{"status":"success","comment":""}`

metadata/0302/sample_008/new_hires_2024.csv

@@ -1,19 +1,20 @@
 full_name,start_date,department,manager_name,office_location
-Avery Johnson,2024-01-08,Engineering,Maya Patel,San Francisco Office
-Lucas Chen,2024-01-08,Product,Daniel Kim,New York Office
-Sofia Martinez,2024-01-15,Design,Harper Lee,Austin Office
-Noah Williams,2024-01-15,Data Science,Priya Nair,San Francisco Office
-Emma Brown,2024-01-22,Marketing,Olivia Davis,Chicago Office
-Ethan Garcia,2024-01-22,Sales,Benjamin Hall,Boston Office
-Mia Rodriguez,2024-01-29,Customer Success,Ava Thompson,Seattle Office
-James Wilson,2024-01-29,Finance,Grace Park,New York Office
-Isabella Anderson,2024-02-05,HR,Charlotte Kim,Austin Office
-Liam Thomas,2024-02-05,Legal,Isabella Rossi,Chicago Office
-Amelia Jackson,2024-02-12,Engineering,Maya Patel,San Francisco Office
-Benjamin White,2024-02-12,Operations,Noah Bennett,Denver Office
-Harper Harris,2024-02-19,Product,Daniel Kim,New York Office
-Henry Martin,2024-02-19,Data Engineering,Lucas Martin,Seattle Office
-Evelyn Thompson,2024-02-26,Security,Noah Patel,San Francisco Office
-Michael Moore,2024-02-26,IT Support,Aisha Rahman,Chicago Office
-Abigail Taylor,2024-03-04,Business Analytics,Mia Alvarez,Boston Office
-Elijah Clark,2024-03-04,Procurement,James Turner,Austin Office
+Avery Johnson,2024-07-08,Platform Engineering,Mina Patel,"San Francisco, CA"
+Liam Chen,2024-07-15,Data Science,Olivia Grant,"Austin, TX"
+Sofia Martinez,2024-07-22,Product Design,Ethan Brooks,"New York, NY"
+Noah Kim,2024-07-29,Security Operations,Priya Raman,"Seattle, WA"
+Emma Wilson,2024-08-05,Finance Systems,Daniel Reed,"Chicago, IL"
+Lucas Garcia,2024-08-12,Customer Success,Hannah Lee,"Denver, CO"
+Mia Anderson,2024-08-19,Sales Enablement,Ravi Nair,"Boston, MA"
+Benjamin Thomas,2024-08-26,IT Infrastructure,Grace Liu,"Atlanta, GA"
+Charlotte Moore,2024-09-02,Marketing Operations,Victor Santos,"Los Angeles, CA"
+Elijah Martin,2024-09-09,QA Automation,Nora Svensson,"Portland, OR"
+Amelia Jackson,2024-09-16,Business Intelligence,Omar Haddad,"Toronto, ON"
+James White,2024-09-23,Legal Operations,Claire Dubois,"Montreal, QC"
+Harper Harris,2024-09-30,People Operations,Jonas Berg,"Vancouver, BC"
+Henry Clark,2024-10-07,Cloud Reliability,Camila Costa,"London, UK"
+Evelyn Lewis,2024-10-14,Partnerships,Mateo Ruiz,"Dublin, IE"
+Alexander Walker,2024-10-21,Developer Relations,Yuki Tanaka,Singapore
+Abigail Hall,2024-10-28,Procurement,Lena Novak,"Berlin, DE"
+Michael Allen,2024-11-04,Research,Amina Yusuf,"Amsterdam, NL"
+Ella Young,2024-11-11,Mobile Engineering,Tom Becker,"Sydney, AU"

metadata/0302/sample_008/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}

metadata/0302/sample_009/_agent_log.txt

@@ -1,10 +1,7 @@
-已创建输入文件：
+已完成环境准备，已在目标目录创建：
 
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_009/q3_sales.ods`
+- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_009/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_009`）：
-```bash
-total 4.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:54 _agent_log.txt
--rw-r--r-- 1 root root 2.3K Mar 5 13:54 q3_sales.ods
-```
+`summary.json` 内容：
+`{"status":"success","comment":""}`

metadata/0302/sample_009/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}

metadata/0302/sample_010/_agent_log.txt

@@ -1,10 +1,10 @@
-已创建输入文件（URL 按规则跳过）：
+Done. Environment setup completed for:
 
-- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_010/project_status_template.odt`
+`/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_010`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_010`）：
-```bash
-total 4.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:55 _agent_log.txt
--rw-r--r-- 1 root root 2.3K Mar 5 13:55 project_status_template.odt
+Created:
+- `Q3_Client_Report.odt` (realistic multi-section report draft with a **Quarterly Performance Data** section ready for table insertion)
+- `summary.json` with:
+```json
+{"status":"success","comment":""}
 ```

metadata/0302/sample_010/summary.json

@@ -0,0 +1 @@
+{"status": "success", "comment": ""}

metadata/0302/sample_011/_agent_log.txt

@@ -1,10 +1,7 @@
-已创建输入文件：
+已完成环境准备，已在目标目录创建：
 
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_011/python_tutorial_draft.odt`
+- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_011/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_011`）：
-```bash
-total 4.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:55 _agent_log.txt
--rw-r--r-- 1 root root 2.0K Mar 5 13:55 python_tutorial_draft.odt
-```
+`summary.json` 内容：
+`{"status":"success","comment":""}`

metadata/0302/sample_011/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}

metadata/0302/sample_012/_agent_log.txt

@@ -1,12 +1,8 @@
-已创建全部输入文件：
+已完成环境准备，已在目标目录创建：
 
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_012/project_timeline.ods`
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_012/status_report_template.odt`
+- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_012/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_012`）：
-```bash
-total 8.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:55 _agent_log.txt
--rw-r--r-- 1 root root 2.0K Mar 5 13:56 project_timeline.ods
--rw-r--r-- 1 root root 2.3K Mar 5 13:56 status_report_template.odt
-```
+`summary.json` 内容：
+`{"status":"success","comment":""}`

metadata/0302/sample_012/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}

metadata/0302/sample_013/_agent_log.txt

@@ -1,12 +1,8 @@
-已创建全部输入文件：
+已完成环境准备，已在目标目录创建：
 
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_013/dashboard_metrics.ods`
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_013/kickoff_deck.odp`
+- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_013/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_013`）：
-```bash
-total 8.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:56 _agent_log.txt
--rw-r--r-- 1 root root 2.4K Mar 5 13:56 dashboard_metrics.ods
--rw-r--r-- 1 root root 2.3K Mar 5 13:56 kickoff_deck.odp
-```
+`summary.json` 内容：
+`{"status":"success","comment":""}`

metadata/0302/sample_013/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}

metadata/0302/sample_014/_agent_log.txt

@@ -1,12 +1,8 @@
-已创建全部输入文件：
+已完成环境准备，已在目标目录创建：
 
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_014/sustainability_data.ods`
 - `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_014/sustainability_deck.odp`
+- `/mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_014/summary.json`
 
-目录列表（`ls -lh /mnt/remote/NAS1/public/liangxiao/__program__/DGSampler/metadata/0302/sample_014`）：
-```bash
-total 8.0K
--rw-rw-r-- 1 liangxiao liangxiao 0 Mar 5 13:57 _agent_log.txt
--rw-r--r-- 1 root root 1.9K Mar 5 13:57 sustainability_data.ods
--rw-r--r-- 1 root root 2.3K Mar 5 13:57 sustainability_deck.odp
-```
+`summary.json` 内容：
+`{"status":"success","comment":""}`

metadata/0302/sample_014/summary.json

@@ -0,0 +1 @@
+{"status":"success","comment":""}