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Trust Report v1

openclaw-secret-scanning-maintainer

Triage, redact, clean up, and resolve OpenClaw GitHub Secret Scanning alerts in issues or PRs.

Overall
67
Trust
39
Utility
88
Momentum
95

Install caution

High-risk behavior present

Risk: High

Source: OpenClaw Built-in Skills

Path: .agents/skills/openclaw-secret-scanning-maintainer/SKILL.md

Review flags: credential or secret references, 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

credential_or_secret_referencehigh

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

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: -53 from 4 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: 13.
  • • Environment variables detected: 2.

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: 368598 stars.
  • • Fork activity suggests reuse: 75946 forks.

Overall

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

Detected signals

Env vars

  • • API
  • • SECRET_TYPES

Commands

  • • https://github.com/openclaw/openclaw/security/secret-scanning
  • • node secret-scanning.mjs delete-comment <COMMENT_ID>
  • • node secret-scanning.mjs delete-discussion-comment <COMMENT_NODE_ID>
  • • node secret-scanning.mjs fetch-alert <NUMBER>
  • • node secret-scanning.mjs fetch-content '<location-json>'
  • • node secret-scanning.mjs list-open
  • • node secret-scanning.mjs notify <TARGET> <AUTHOR> <LOCATION_TYPE> <SECRET_TYPES> [REPLY_TO_NODE_ID]
  • • node secret-scanning.mjs recreate-comment <ISSUE_NUMBER> <body-file>
  • • node secret-scanning.mjs recreate-discussion-comment <DISCUSSION_NODE_ID> <body-file> [REPLY_TO_NODE_ID]
  • • node secret-scanning.mjs redact-body <issue|pr> <NUMBER> <redacted-body-file>
  • • node secret-scanning.mjs resolve <ALERT_NUMBER>
  • • node secret-scanning.mjs resolve <ALERT_NUMBER> revoked "Custom comment"

URLs

  • • https://github.com/openclaw/openclaw/issues/63101#issuecomment-xxx
  • • https://github.com/openclaw/openclaw/security/secret-scanning`.
  • • https://support.github.com/contact

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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