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Trust Report v1

autoreview

Structured code review through the shared OpenClaw agent-skills installation.

Overall
74
Trust
59
Utility
80
Momentum
95

Install caution

Needs manual review

Risk: Medium

Source: OpenClaw Built-in Skills

Path: .agents/skills/autoreview/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

  • • 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: +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 0 day(s) ago.
  • • Recent commit volume: 100 commit(s) in the lookback window (+20).
  • • Source has strong public adoption: 394129 stars.
  • • Fork activity suggests reuse: 82821 forks.

Overall

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

Detected signals

Env vars

None detected in SKILL.md text scan.

Commands

  • • https://github.com/openclaw/agent-skills
  • • openclaw/agent-skills
  • • python

URLs

  • • https://github.com/openclaw/agent-skills/tree/main/skills/autoreview
  • • https://github.com/openclaw/agent-skills`

Provenance & evidence

SkillRadar makes each review traceable back to the exact source path, source blob SHA, scanner version, and text-only policy that produced the report.

source
github.com/openclaw/openclaw@main
path
.agents/skills/autoreview/SKILL.md
source blob SHA
244d034463908327706bedfb13daa49843052b95
scanner version
0.3.0
security model
text_only_no_execute_no_install_no_secrets
scan policy
Fetched and scored as text only; no install, no execution, no runtime loading.

Evidence snippets

filesystem_write_or_home_access

…thub.com/openclaw/agent-skills/tree/main/skills/autoreview). Read the complete installed `~/.agents/skills/autoreview/SKILL.md` and the references it requires before reviewing. If in…

network_access

…installation.", "name": "autoreview"} # Auto Review Use the canonical [autoreview skill](https://github.com/openclaw/agent-skills/tree/main/skills/autoreview). Read the complete installed…

shell_command

…` and run `python3 scripts/install-skills autoreview` from that checkout. On Windows, use `python`; `--mode copy` is available when symlinks are unavailable. Run the shared `scripts/autor…

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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