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Trust Report v1

autoreview

Structured code review when explicitly requested, preferring OpenAI/Codex before Claude.

Overall
71
Trust
54
Utility
78
Momentum
95

Install caution

High-risk behavior present

Risk: High

Source: OpenClaw Built-in Skills

Path: .agents/skills/autoreview/SKILL.md

Review flags: credential or secret references, 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

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

Risk flags explained

credential_or_secret_referencehigh

Mentions tokens, API keys, passwords, or private-key style environment variables.

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: -38 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: 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: 100 commit(s) in the lookback window (+20).
  • Source has strong public adoption: 390331 stars.
  • Fork activity suggests reuse: 82114 forks.

Overall

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

Detected signals

Env vars

  • AMP_API_KEY

Commands

None detected in SKILL.md text scan.

URLs

  • https://api.openai.com/v1`
  • https://developers.openai.com/api/docs/guides/latest-model?model=gpt-6-astra
  • https://github.com/openclaw/agent-skills/pull/240
  • https://learn.chatgpt.com/docs/models#know-when-to-use-max-or-ultra

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
bd4d088c993f7e42c786d8ed29e91e14aa26acfb
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

credential_or_secret_reference

…ly tools | | Amp | `AMP_API_KEY` for a plugin-free account; local POSIX execution, no custom endpoint or cloud/orb agent…

network_access

…o implicit review target. `--mode uncommitted` is an alias for local. The helper does not fetch refs. Registered nested linked checkouts from the same repository are outside the curren…

shell_command

…ering, and validated JSON; it leaves review judgment to Codex. For an OpenClaw checkout: ```bash AUTOREVIEW=".agents/skills/autoreview/scripts/autoreview" "$AUTOREVIEW" --mode local ```…

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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.