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terms-of-service

An AI agent skill from genspark-ai/genoffice, scored 58 out of 100 by code.

58/ 100C

Code score by group

  • Spec20/20
  • Description7/20
  • Procedure7/15
  • Done criteria0/15
  • Resources7/10
  • Scripts5/8
  • Safety7/7
  • Upkeep5/5

It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Draft terms of service and a companion privacy notice matched to the product's form and feature modules, not legal advice, delivered as a Word document

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
genspark-ai/genoffice
Folder
skills/recommended/terms-of-service
License
Apache-2.0
GitHub stars
12,211
SKILL.md lines
40
Other files
0

Add terms-of-service to your agent

npx skills add genspark-ai/genoffice --skill terms-of-service

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

More skills from genspark-ai/genoffice

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  4. job-description

    Turn a hiring need into a complete job description with responsibilities, requirements, nice-to-haves and a resume screening rubric, delivered as a Word document

    65C
  5. meeting-minutes

    Turn a transcript, chat log or loose notes into structured meeting minutes with decisions and action items, delivered as a Word document

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  6. nda-drafter

    Draft a one-way or mutual NDA from the cooperation background, with clause notes and risk points, not legal advice, delivered as a Word document

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  7. kpi-dashboard

    Turn operating data into a KPI dashboard workbook with metric definitions, target vs actual, attainment rates and trend charts, delivered as an Excel workbook

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  8. deep-research

    Run multi-round searches with cross-checking and produce a research report with cited sources, delivered as a Word document

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All skills in genspark-ai/genoffice

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.