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Trust Report v1

afrexai-agent-engineering

Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.

Overall
74
Trust
67
Utility
70
Momentum
95

Install caution

Needs manual review

Risk: Medium

Source: OpenClaw Master Skills

Path: skills/afrexai-agent-engineering/SKILL.md

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

Required permissions

  • 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.

Score explanation

Trust

  • Trust starts at 90 before review-signal penalties and metadata bonuses.
  • Risk-signal penalty: -25 from 2 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: 0.

Momentum

  • Momentum starts at 45 and uses public repo activity signals.
  • Recent commit activity: latest repo update was 6 day(s) ago.
  • Recent commit volume: 6 commit(s) in the lookback window (+18).
  • Source has strong public adoption: 2049 stars.
  • Fork activity suggests reuse: 309 forks.

Overall

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

Detected signals

Env vars

None detected in SKILL.md text scan.

Commands

None detected in SKILL.md text scan.

URLs

None detected in SKILL.md text scan.

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/LeoYeAI/openclaw-master-skills@main
path
skills/afrexai-agent-engineering/SKILL.md
source blob SHA
a5617e2921d3ae68308f7f1994e52ff86d70c45b
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

…Y.md - Archive stale entries **Monthly:** - Audit MEMORY.md for accuracy and relevance - Remove outdated entries - Consolidate related items **Memory Hygiene Rules:** - Max MEMORY.md s…

browser_or_session_access

…──────┐ │ MEMORY LAYERS │ ├─────────────────────────────────────┤ │ Session Context (in-context window) │ ← Current conversation │ Working Memory (daily files)…

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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.