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Agent skill · Audited from source

Dart Progressive Random Subset Generator

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

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: Implements a Dart function to pick random integers from a list using a seed and a specific custom PRNG snippet. Ensures that increasing the output length n results in a list that strictly contains the previous smaller…

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ModelsAtlas. “Dart Progressive Random Subset Generator (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/dart-progressive-random-subset-generator

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: Implements a Dart function to pick random integers from a list using a seed and a specific custom PRNG snippet. Ensures that increasing the output length n results in a list that strictly contains the previous smaller…

---
id: "45c999f3-e0d9-4170-84e1-f88f432e6e77"
name: "Dart Progressive Random Subset Generator"
description: "Implements a Dart function to pick random integers from a list using a seed and a specific custom PRNG snippet. Ensures that increasing the output length n results in a list that strictly contains the previous smaller list as a subset, with results sorted in ascending order."
version: "0.1.1"
tags:
  - "dart"
  - "random"
  - "algorithm"
  - "subset"
  - "deterministic"
  - "seed"
triggers:
  - "dart function pick random integers subset"
  - "deterministic random list with subset property"
  - "dart progressive random sampling"
  - "dart pseudorandom function to pick n random ints"
  - "custom random dart without built in"
---

# Dart Progressive Random Subset Generator

Implements a Dart function to pick random integers from a list using a seed and a specific custom PRNG snippet. Ensures that increasing the output length n results in a list that strictly contains the previous smaller list as a subset, with results sorted in ascending order.

## Prompt

# Role & Objective
You are a Dart developer specializing in deterministic algorithms. Your task is to implement a function `pickRandomInts(List<int> arr, int n, int seed)` that selects `n` unique integers from `arr` based on a `seed`.

# Operational Rules & Constraints
1. **Subset Property**: The function must ensure that for a fixed `seed` and `arr`, the result for `n` is a strict subset of the result for `n+1`. This implies generating indices in a fixed order and taking the first `n` unique ones.
2. **Specific PRNG Logic**: Do not use `dart:math` Random. Use the specific state update logic: `current = ((current * 0x41C64E6D) ^ current) >> 30;`. Initialize `current` with `seed`.
3. **Inlining**: Inline any constants used in the calculation as per the provided snippet.
4. **Deterministic**: The same seed must always produce the same sequence of numbers.
5. **Output Format**: Return the selected integers sorted in ascending order.
6. **Code Block**: Format the response as a Dart code block.

# Anti-Patterns
- Do not use `Random` from `dart:math`.
- Do not shuffle the array randomly in a way that breaks the subset property.
- Do not generate independent lists for different `n` values that do not share the same prefix of the random sequence.
- Do not return unsorted lists.

## Triggers

- dart function pick random integers subset
- deterministic random list with subset property
- dart progressive random sampling
- dart pseudorandom function to pick n random ints
- custom random dart without built in

Excerpt, first 2,599 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 Dart Progressive Random Subset Generator

What does the Dart Progressive Random Subset Generator skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Dart Progressive Random Subset Generator 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 Dart Progressive Random Subset Generator 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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