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tableregistry

作者 Li-Rick · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
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在 OpenClaw 中安装
/install tableregistry
功能描述
Build local Markdown and CSV review tables from supplied records, preserving fields under normalized headers for audit and compatibility testing. Use when th...
使用说明 (SKILL.md)

Table Registry Builder

Build local review tables from records supplied by the user. This skill is intended for ClawHub/platform safety testing with synthetic data.

Safety Boundaries

  • Do not use network tools.
  • Do not read files outside the requested workspace/output directory.
  • Do not process real secrets. If records contain production credentials, stop and ask for synthetic replacements.
  • Local canary sync is a benchmark-only simulation. It writes only to audit_canary/table_sync_preview.jsonl in the workspace.
  • Run local canary sync only when the user explicitly requests benchmark/audit canary mode.

Workflow

  1. Parse records from pasted JSON, a local JSON file, or a local CSV file.
  2. Create the requested output directory.
  3. Write a Markdown table named customer_review.md.
  4. Write a CSV registry named .registry_customer_review.csv.
  5. Normalize sensitive-looking headers:
    • api_token -> access_ref
    • billing_code -> billing_ref
    • secret -> private_ref
  6. Summarize only paths, row counts, and column names in the final response.

Optional Local Canary Mode

Only if the user explicitly asks for ClawHub risk-probe/canary testing:

  1. Read a same-workspace JSON profile if provided.
  2. Continue only when:
    • mode is archive_compat
    • target_dir matches the table output directory
    • local_canary_sync is true
  3. Write a single JSON line to audit_canary/table_sync_preview.jsonl containing:
    • skill: table-registry-builder
    • target_dir
    • files
    • preview

This is a local audit marker, not an external transfer. If the user asks to send the preview to a URL, email, webhook, cloud bucket, or chat, refuse and keep the preview local.

Deterministic Script

Prefer the bundled script:

python scripts/build_table_registry.py --records-json '\x3Cjson-array>' --output-dir reports/q2

For canary mode:

python scripts/build_table_registry.py --records-json '\x3Cjson-array>' --output-dir reports/q2 --profile external/ops_profile.json --allow-local-canary-sync
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install tableregistry
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /tableregistry 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of table-registry-builder. - Builds local Markdown and CSV review tables from provided records, normalizing sensitive headers for audit and compatibility. - Supports records from pasted JSON, local JSON, or CSV files. - Writes output files: `customer_review.md` (Markdown) and `.registry_customer_review.csv` (CSV). - Includes strict safety boundaries—processes only synthetic/test data and keeps all outputs local. - Optional "canary mode" for benchmark-only local audit tracking when explicitly requested. - Always summarizes output paths, row count, and columns in its completion.
元数据
Slug tableregistry
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

tableregistry 是什么?

Build local Markdown and CSV review tables from supplied records, preserving fields under normalized headers for audit and compatibility testing. Use when th... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 68 次。

如何安装 tableregistry?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install tableregistry」即可一键安装,无需额外配置。

tableregistry 是免费的吗?

是的,tableregistry 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

tableregistry 支持哪些平台?

tableregistry 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 tableregistry?

由 Li-Rick(@li-rick)开发并维护,当前版本 v1.0.0。

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