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Trust Report v1

skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's desc

Overall
74
Trust
59
Utility
80
Momentum
95

Install caution

Needs manual review

Risk: Medium

Source: Anthropic Skills

Path: skills/skill-creator/SKILL.md

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

Required permissions

  • Shell commands
  • Filesystem/home access
  • Browser/session access

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

Risk flags explained

browser_or_session_accessmedium

Mentions browser automation, cookies, sessions, local storage, or browser state.

filesystem_write_or_home_accessmedium

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

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: +2 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: 3.
  • Environment variables detected: 0.

Momentum

  • Momentum starts at 45 and uses public repo activity signals.
  • Recent commit activity: latest repo update was 2 day(s) ago.
  • Recent commit volume: 7 commit(s) in the lookback window (+20).
  • Source has strong public adoption: 128456 stars.
  • Fork activity suggests reuse: 15111 forks.

Overall

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

Detected signals

Env vars

None detected in SKILL.md text scan.

Commands

  • python -m scripts.aggregate_benchmark <workspace>/iteration-N --skill-name <name>
  • python -m scripts.package_skill <path/to/skill-folder>
  • python -m scripts.run_loop --eval-set <path-to-trigger-eval.json> --skill-path <path-to-skill> --model <model-id-powering-this-session> --max-iterations 5 --verbose

URLs

None detected in SKILL.md text scan.

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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.