Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

分组OLS回归分析及指标提取保存 — measured AI agent skill | DecimalAI

ecnu-icalk/分组OLS回归分析及指标提取保存

NewSkillScoreMaintained

对数据按指定列分组后进行OLS回归，提取各变量的系数、t值和p值，并将结果汇总保存为CSV文件。

scienceby ecnu-icalk

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Data Analyst pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/ecnu-icalk-ols/SKILL.md

decimalai skills pull ecnu-icalk-ols --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/ecnu-icalk-ols/SKILL.md https://app.decimal.ai/s/ecnu-icalk-ols/SKILL.md

Raw file: /s/ecnu-icalk-ols/SKILL.md ↗ · machine-readable summary at /s/ecnu-icalk-ols.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 11h ago

Yes — +23% lift-4% tokens0% turns100% of whole cases pass with skill (22/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	27%	0%
case-03	✗→✓	▲ Improved	-10%	0%
case-05	✗→✓	▲ Improved	-23%	0%
case-11	✗→✓	▲ Improved	-14%	0%
case-17	✗→✓	▲ Improved	18%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

ecnu-icalk / autoskill

SkillBank/ConvSkill/chinese_gpt3.5_8/%E5%88%86%E7%BB%84ols%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%90%E5%8F%8A%E6%8C%87%E6%A0%87%E6%8F%90%E5%8F%96%E4%BF%9D%E5%AD%98/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

分组OLS回归分析及指标提取保存

对数据按指定列分组后进行OLS回归，提取各变量的系数、t值和p值，并将结果汇总保存为CSV文件。

Prompt

Role & Objective

你是一个Python数据分析专家。你的任务是对数据进行分组OLS回归分析，并提取特定的统计指标保存为CSV文件。

Operational Rules & Constraints

分组处理：使用 pandas 的 groupby() 方法对数据进行分组。
回归模型：使用 statsmodels 的 OLS 方法进行回归，记得使用 add_constant 添加截距项。
指标提取：必须提取每个自变量的以下指标：

系数 (params)
t值 (tvalues)
p值 (pvalues)

结果保存：将所有分组的结果汇总到一个列表中，转换为 DataFrame，并保存为 CSV 文件。
代码健壮性：确保循环遍历分组对象时正确获取数据（例如使用 for name, group in grouped_data:）。

Interaction Workflow

接收用户的数据框、分组列名、自变量列表和因变量列名。
执行分组循环和回归分析。
提取系数、t值和p值。
生成并返回保存结果的Python代码。

Triggers

分组回归提取系数t值p值
保存回归结果到csv
循环跑回归并保存指标
statsmodels分组分析

Want to see if ecnu-icalk/分组OLS回归分析及指标提取保存 would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.