kangigocc

工业化数据处理

Data Analysisv1.0.0
By kangigoccUpdated 2026-05-18iqc-python-tree@clawhub_kangigocc/iqc-python-tree
Data CleaningReport Generation#CSV#Json#安全

According to AlphaMoat, as of 2026-09, 工业化数据处理 has 1,406 downloads and 0 stars — ranked #4,828 of 5,078 AI skills overall, and #383 of 399 in Data Analysis.

Installs
206
Downloads
1.4K
Stars
-
Overall Rank
#4,828
Top 96% overall · Top 96% in Data Analysis
PlatformInstallsDownloadsStarsComments
ClawHub ↗311.1K--
SkillHub ↗2061.4K-—

Platforms count differently and update at different times.

What this skill does

The workflow executes sequentially without a complex scheduler in 4 steps: preprocess-excel (scripts/preprocess_excel.py, converting ./input into ./output/csv) -> csv-to-json-parser (scripts/csv_to_json.py, producing ./output/json) -> jwt-security-layer (scripts/jwt_token.py, with tokens expiring after 30 minutes) -> enterprise-data-submit (scripts/data_submit.py, submitting with BearerToken auth). Model inference parameters are fixed for a low-randomness industrial mode: temperature 0 and top_p 0.05. The error-recovery strategy is a global retry of 3 with a safe_exit fallback, and handlers cover logging errors, saving checkpoints, and alerting the admin; logging runs at INFO level and persists to ./logs/iqc_engine.log, while output is JSON under ./output/final with compression enabled. The skill card's security evidence reports that the skill embeds reusable credentials and sends or stores tokens and business data insecurely, so it should only run in a controlled internal environment after rotating the exposed password, moving credentials to managed secrets, and enforcing HTTPS.

Profile published 2026-10-27

What you can do with it

  • Batch-convert IQC control-plan Excel files into structured JSON
  • Submit inspection data to enterprise systems with JWT authentication
  • Run the stable parsing pipeline with checkpoints and alerts in a controlled intranet

When to use it

  • When industrial inspection control-plan spreadsheets need automated parsing and submission to an enterprise API

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Run this batch of IQC control-plan Excel files through the 4-step pipeline
Generate a JWT token and submit today's inspection data
Check the pipeline log for errors and checkpoints

Monthly Trend

Downloads1.4K
3799311.5K2026-03 · Downloads 4552026-05 · Downloads 7342026-07 · Downloads 1.0K2026-08 · Downloads 1.1K2026-09 · Downloads 1.4K26-0326-09
Stars-
0112026-03 · Stars -2026-05 · Stars -2026-07 · Stars -2026-08 · Stars -2026-09 · Stars -26-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-091.4K—-
2026-081.1K+9.5%-
2026-071.0K—-
2026-05734—-
2026-03455—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

2.6 KB · ClawHub v1.0.0
name: iqc-python-tree
version: 3.0.0

description: |
  企业工业级 IQC 控制计划解析引擎终极稳定版:
  Excel → CSV → JSON AST → 安全认证 → 数据提交

author: inspection-planning

# ===============================
Show all (107 lines)
# 模型推理参数(低随机性工业模式)
# ===============================

model:
  temperature: 0
  top_p: 0.05

# ===============================
# 工作流执行模式(稳定核心)
# 顺序执行,不使用复杂调度器
# ===============================

workflow:

  steps:

    # --------------------------------------------------
    # Step 1:Excel 工业预处理层(核心稳定区)
    # --------------------------------------------------
    - name: preprocess-excel
      executor: python
      script: scripts/preprocess_excel.py
      timeout: 120
      retry: 2
      params:
        input_dir: ./input
        output_dir: ./output/csv

    # --------------------------------------------------
    # Step 2:工业语义解析层(控制计划模型化)
    # --------------------------------------------------
    - name: csv-to-json-parser
      executor: python
      script: scripts/csv_to_json.py
      timeout: 180
      retry: 3
      params:
        input_dir: ./output/csv
        output_dir: ./output/json

    # --------------------------------------------------
    # Step 3:安全认证层(企业安全标准)
    # --------------------------------------------------
    - name: jwt-security-layer
      executor: python
      script: scripts/jwt_token.py
      timeout: 60
      retry: 2
      params:
        secret_key: STATIC_SECRET_KEY
        expire_minutes: 30

    # --------------------------------------------------
    # Step 4:工业数据提交层(最终出口)
    # --------------------------------------------------
    - name: enterprise-data-submit
      executor: python
      script: scripts/data_submit.py
      timeout: 120
      retry: 3
      params:
        auth_mode: BearerToken

# ===============================
# 企业异常自愈策略(非常重要)
# ===============================

error_strategy:

  global_retry: 3

  fallback_mode: safe_exit

  handlers:
    - log_error
    - save_checkpoint
    - alert_admin

# ===============================
# 日志审计系统(工业生产必须)
# ===============================

logging:

  level: INFO
  persist: true
  path: ./logs/iqc_engine.log

# ===============================
# 输出策略
# ===============================

output:

  format: json
  path: ./output/final
  compress: true

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.