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Trust Report v1

Spreadsheet & Data Wrangling Master

Complete spreadsheet methodology — data cleanup, transformation, analysis, dashboards, automation, and reporting. Works with CSV, Excel, Google Sheets, or any tabular data. Use when the user needs to clean messy data, build reports, create dashboards, automate recurring spreadshe

Overall
74
Trust
62
Utility
78
Momentum
95

Install caution

Needs manual review

Risk: Medium

Source: OpenClaw Master Skills

Path: skills/afrexai-spreadsheet-master/SKILL.md

Review flags: filesystem/home-directory access, network access or external URLs, shell command snippets. These are review signals, not definitive security judgments; inspect before installing.

Required permissions

  • • Environment variables / secrets
  • • Shell commands
  • • Network/API usage
  • • Filesystem/home access

Permissions are inferred from SKILL.md text only. They are review prompts, not guarantees about runtime behavior.

Risk flags explained

filesystem_write_or_home_accessmedium

Mentions filesystem writes, deletes, home-directory paths, or config/key locations.

network_accessmedium

Mentions external URLs, network APIs, downloads, or HTTP client usage.

shell_commandmedium

Contains shell command snippets. Review commands before copy/paste or agent execution.

Score explanation

Trust

  • • Trust starts at 90 before review-signal penalties and metadata bonuses.
  • • Risk-signal penalty: -33 from 3 detected flag(s).
  • • Metadata bonus: +5 from author/version/description fields.

Utility

  • • Utility starts at 55 and rewards clear descriptions, runnable examples, and explicit setup needs.
  • • Description present: yes.
  • • Command examples detected: 0.
  • • Environment variables detected: 1.

Momentum

  • • Momentum starts at 45 and uses public repo activity signals.
  • • Recent commit activity: latest repo update was 0 day(s) ago.
  • • Recent commit volume: 8 commit(s) in the lookback window (+20).
  • • Source has strong public adoption: 1972 stars.
  • • Fork activity suggests reuse: 306 forks.

Overall

  • • Overall score weights trust 45%, utility 35%, and momentum 20%.

Detected signals

Env vars

  • • API

Commands

None detected in SKILL.md text scan.

URLs

  • • https://afrexai-cto.github.io/context-packs/

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Methodology note

SkillRadar scans SKILL.md as hostile text only. It does not execute commands, install packages, or load third-party skills.

View source SKILL.mdBack to changesView sources