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hsmodel

Train and serialize allowlisted hscredit models, run AutoTuner, inspect losses, calibrate probabilities, and generate model explanation tables.

Skill by hengshu-credit

IndexedMIT★ 21
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/hengshu-credit-hsmodel

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Train and serialize allowlisted hscredit models, run AutoTuner, inspect losses, calibrate probabilities, and generate model explanation tables. Use when the task is model lifecycle work rather than a complete Excel report.

Use cases: documents, spreadsheets, productivity

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/hsmodel

What's inside

Skill name
hsmodel
Description
Train and serialize allowlisted hscredit models, run AutoTuner, inspect losses, calibrate probabilities, and generate model explanation tables. Use when the task is model lifecycle work rather than a complete Excel report.
License
MIT
Instructions
9 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (7)

  • .gitkeep
  • SKILL.md
  • openai.yaml · agents/
  • operations.md · references/
  • runtime.json
  • request.schema.json · schemas/
  • run.py · scripts/

SKILL.md (first lines)

# HSCredit 模型

登记操作:`model_fit`、`model_predict`、`model_evaluate`、`compare_models`、`model_tune`、`model_calibrate`、`model_explain`、`component_create`、`loss_info`。

`model_fit` 使用 `parameters.model` 和 `model_params` 选择当前公开模型;训练数据来自 `inputs.data`,目标字段由 `target` 指定。`model_tune` 使用 `AutoTuner.create`,需要 `n_trials`,缺少 Optuna 时使用隔离 `tune` extra。`model_calibrate` 和 `model_explain` 使用 `inputs.model` 的可信制品或同进程对象。

模型制品只在用户明确确认来源后用 `trusted=true` 载入。大表结果保存为 Excel,模型和 tuner 保存为 hscredit artifact。

From hengshu-credit/hscredit, MIT.

Signals

Stars
21
Forks
6
Open issues
2
Last commit (this folder)
Oct 20, 2026 (9 days ago)
Last release
Oct 9, 2026 (20 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from hengshu-credit

Cite this page

hsmodel skill. Agent Mart. https://agentmart.dev/skills/hengshu-credit-hsmodel (last updated 2026-10-24)