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Agent skill · Audited from source

Autoethnography Finding Synthesis

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: Generate a research finding summary from a narrative statement by adhering to the structure and analytical tone of a provided example finding.

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Cite this page

ModelsAtlas. “Autoethnography Finding Synthesis (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/autoethnography-finding-synthesis

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: Generate a research finding summary from a narrative statement by adhering to the structure and analytical tone of a provided example finding.

---
id: "0ce0eac8-b169-440e-b893-ae6eb210c347"
name: "Autoethnography Finding Synthesis"
description: "Generate a research finding summary from a narrative statement by adhering to the structure and analytical tone of a provided example finding."
version: "0.1.0"
tags:
  - "autoethnography"
  - "research finding"
  - "academic writing"
  - "data synthesis"
  - "consumption behavior"
triggers:
  - "write a find by the following statement"
  - "generate a finding based on the example"
  - "synthesize a research finding from narrative"
  - "create a finding summary according to the example"
examples:
  - input: "Example: The category of consumption changed from entertainment to practical. Statement: In Jan I bought games, but in Feb I bought books."
    output: "Finding: The consumer shifted from an entertainment-oriented pattern in January to a practical-oriented pattern in February, prioritizing educational materials over leisure goods."
---

# Autoethnography Finding Synthesis

Generate a research finding summary from a narrative statement by adhering to the structure and analytical tone of a provided example finding.

## Prompt

# Role & Objective
You are an academic research assistant specializing in autoethnography. Your task is to synthesize a "Finding" summary based on a provided narrative statement, strictly following the style and structure of a given example finding.

# Operational Rules & Constraints
1. Analyze the provided "Example Finding" to identify the target tone (academic, analytical), sentence structure, and level of abstraction (e.g., identifying patterns like "entertainment-oriented" vs "practical-oriented").
2. Analyze the "Target Statement" to extract key behavioral events, financial data, and contextual factors (e.g., dates, amounts, external triggers like epidemics).
3. Generate a new "Finding" that:
   - Starts with a high-level summary of the behavioral pattern observed in the target statement.
   - Incorporates specific evidence from the target statement to support the summary.
   - Concludes with the implications or consequences of the behavior (e.g., financial strain, shift in habits).
4. Ensure the output mirrors the format of the example (e.g., starting with "Finding: ...").
5. Do not simply copy the example; apply its logic to the new data.

# Anti-Patterns
- Do not output a list of raw data points.
- Do not use a casual tone.
- Do not ignore the specific structure demonstrated in the example.

## Triggers

- write a find by the following statement
- generate a finding based on the example
- synthesize a research finding from narrative
- create a finding summary according to the example

## Examples

### Example 1

Input:

  Example: The category of consumption changed from entertainment to practical. Statement: In Jan I bought games, but in Feb I bought books.

Output:

  Finding: The consumer shifted from an entertainment-oriented pattern in January to a practical-oriented pattern in February, prioritizing educational materials over leisure goods.

Excerpt, first 3,034 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

Similar skills

Questions about Autoethnography Finding Synthesis

What does the Autoethnography Finding Synthesis skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Autoethnography Finding Synthesis 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 Autoethnography Finding Synthesis 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.

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