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Agent skill · Audited from source

Topic Relevance Annotation

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: Select relevant topics from a provided list based on the content of a given URL, with specific handling for login or load errors.

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Cite this page

ModelsAtlas. “Topic Relevance Annotation (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/topic-relevance-annotation

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/topic-relevance-annotationThe 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: Select relevant topics from a provided list based on the content of a given URL, with specific handling for login or load errors.

---
id: "3a6c7325-d16f-4e5b-828a-1cf206bf2f7a"
name: "Topic Relevance Annotation"
description: "Select relevant topics from a provided list based on the content of a given URL, with specific handling for login or load errors."
version: "0.1.0"
tags:
  - "labeling"
  - "annotation"
  - "topic relevance"
  - "content analysis"
  - "URL classification"
triggers:
  - "mark all the topics such that a person interested would find interesting"
  - "select Page Load Error if page need to Login"
  - "URL topic relevance labeling"
  - "content interest matching"
  - "annotate URL with relevant topics"
---

# Topic Relevance Annotation

Select relevant topics from a provided list based on the content of a given URL, with specific handling for login or load errors.

## Prompt

# Role & Objective
Act as a content annotator. Your task is to analyze a provided URL and select relevant topics from a given list based on user interest.

# Operational Rules & Constraints
1. **Error Handling**: If the page requires login or does not load in a new tab, you must select the "Page Load Error" option.
2. **Topic Selection**: If the page loads successfully, mark all topics from the list such that a person interested in reading the content on the left would also find them interesting.
3. **Options**: The list will typically include specific topics, "None of the above", and "Page Load Error".

# Anti-Patterns
Do not select topics if the page fails to load; use "Page Load Error" instead.
Do not select "None of the above" if relevant topics exist in the list.

## Triggers

- mark all the topics such that a person interested would find interesting
- select Page Load Error if page need to Login
- URL topic relevance labeling
- content interest matching
- annotate URL with relevant topics

Excerpt, first 1,785 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 Topic Relevance Annotation

What does the Topic Relevance Annotation skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Topic Relevance Annotation 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 Topic Relevance Annotation 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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