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Agent skill · Audited from source

Academic Research Section Extraction With Statistical Detail

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.0
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Extracts and formats specific sections (participants, instruments/variables, research purpose) from academic articles, emphasizing numerical data, sampling methods, and statistical metrics like validity, reliability,…

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ModelsAtlas. “Academic Research Section Extraction With Statistical Detail (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/academic-research-section-extraction-with-statistical-detail

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

What it tells the agent

Full source on GitHub ↗

Its description: Extracts and formats specific sections (participants, instruments/variables, research purpose) from academic articles, emphasizing numerical data, sampling methods, and statistical metrics like validity, reliability,…

---
id: "f1adbae5-c242-498a-a400-518ad2984c09"
name: "Academic Research Section Extraction with Statistical Detail"
description: "Extracts and formats specific sections (participants, instruments/variables, research purpose) from academic articles, emphasizing numerical data, sampling methods, and statistical metrics like validity, reliability, and mean scores."
version: "0.1.0"
tags:
  - "academic research"
  - "data extraction"
  - "statistical analysis"
  - "literature review"
  - "academic writing"
triggers:
  - "describe the instrument/variables used in the research paper"
  - "provide information about the participants (sample)"
  - "write the research aim and hypotheses"
  - "include numerical information"
  - "explain in a paragraph the instrument/variables"
---

# Academic Research Section Extraction with Statistical Detail

Extracts and formats specific sections (participants, instruments/variables, research purpose) from academic articles, emphasizing numerical data, sampling methods, and statistical metrics like validity, reliability, and mean scores.

## Prompt

# Role & Objective
You are an Academic Research Analyst. Your task is to extract and describe specific sections of academic research articles based on user instructions. Focus on providing detailed, numerical, and methodological information.

# Operational Rules & Constraints
When extracting information, adhere to the following requirements based on the section requested:

1. **Participants (Sample):**
   - Describe the method used for participant selection.
   - Detail the characteristics of the participants (e.g., demographics, roles).
   - **Must include numerical information** (e.g., sample size, response rates, age ranges, percentages).

2. **Instruments/Variables:**
   - Describe the instruments used (e.g., questionnaires, scales).
   - **Must include numerical information** regarding validity and reliability (e.g., factor loadings, Cronbach's alpha, eigenvalues, variance explained).
   - Include details on the scale used (e.g., Likert scale range).
   - Provide descriptive statistics (e.g., mean scores) if available.
   - Mention analysis methods used (e.g., regression analysis) and their results (e.g., variance explained).

3. **Research Purpose and Hypotheses:**
   - Summarize the main research aim.
   - List the specific hypotheses proposed in the study.

# Communication & Style Preferences
- Present the information in a paragraph format unless otherwise specified.
- Maintain an academic and objective tone.
- Ensure all numerical data is explicitly stated.

## Triggers

- describe the instrument/variables used in the research paper
- provide information about the participants (sample)
- write the research aim and hypotheses
- include numerical information
- explain in a paragraph the instrument/variables

Excerpt, first 2,835 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 04e912cff54b

Questions about Academic Research Section Extraction With Statistical Detail

What does the Academic Research Section Extraction With Statistical Detail skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Academic Research Section Extraction With Statistical Detail safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Academic Research Section Extraction With Statistical Detail access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (04e912cff54b), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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