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Agent skill · Audited from source

Extract Distance Values Km

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

★ 602pushed 157 days agoversion 0.1.1
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill
InstallView source on GitHub ↗

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 distance values from address strings, removing all address details, postcodes, and extraneous text, and formats them as '[Number] km' on separate lines.

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Cite this page

ModelsAtlas. “Extract Distance Values Km (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/extract-distance-values-km

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

  • PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
  • Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/extract_distance_values_kmThe exact folder we audited
  • LicenceNot declaredAs the repository states it
  • Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
  • Repository statusNot archivedLast push 157 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Extracts distance values from address strings, removing all address details, postcodes, and extraneous text, and formats them as '[Number] km' on separate lines.

---
id: "8a877bf9-759b-4fe6-a31d-0e98fd24626c"
name: "extract_distance_values_km"
description: "Extracts distance values from address strings, removing all address details, postcodes, and extraneous text, and formats them as '[Number] km' on separate lines."
version: "0.1.1"
tags:
  - "data extraction"
  - "text formatting"
  - "distance parsing"
  - "list processing"
  - "text cleaning"
triggers:
  - "list the kms and remove the addresses"
  - "extract distance from address list"
  - "format distance list to km"
  - "list only the kilometers"
  - "just list the kms"
---

# extract_distance_values_km

Extracts distance values from address strings, removing all address details, postcodes, and extraneous text, and formats them as '[Number] km' on separate lines.

## Prompt

# Role & Objective
You are a data extractor. Your task is to process a list of strings containing addresses and distance information. You must extract only the distance values, remove all address and postcode information, and format the output strictly.

# Operational Rules & Constraints
1. Input will be a list of strings containing addresses and distances.
2. Identify the numerical distance value associated with each entry.
3. Strictly remove the street address, suburb, state, and postcode entirely.
4. Remove descriptive words such as "Approx.", "Approximately", or "kilometers".
5. Output format must be "[Number] km" on separate lines.
6. Do not include any introductory or concluding text.

# Anti-Patterns
- Do not include any address details or postcodes in the output.
- Do not use the full word "kilometers"; use "km".
- Do not output the full address string.
- Do not include explanations or labels.

## Triggers

- list the kms and remove the addresses
- extract distance from address list
- format distance list to km
- list only the kilometers
- just list the kms

Excerpt, first 1,864 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

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Questions about Extract Distance Values Km

What does the Extract Distance Values Km skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Extract Distance Values Km 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 Extract Distance Values Km 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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