SR
SKILLRADAR
AI Security • Benchmarking • Index
Menu⌄
Trust Report v1

access-lifecycle

Use when preparing or running a user access review, checking that leavers lost their access, finding orphaned or ownerless service accounts, answering an auditor's access-control request for SOC 2, ISO 27001, PCI DSS, HIPAA or NIST 800-53, or checking whether a finished review ca

Overall
85
Trust
84
Utility
80
Momentum
95

Install caution

Needs manual review

Risk: Low

Source: OpenClaw Master Skills

Path: skills/access-lifecycle/SKILL.md

Review flags: shell command snippets. These are review signals, not definitive security judgments; inspect before installing.

Required permissions

  • • Shell commands

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

Risk flags explained

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: -8 from 1 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 1 day(s) ago.
  • • Recent commit volume: 13 commit(s) in the lookback window (+20).
  • • Source has strong public adoption: 2182 stars.
  • • Fork activity suggests reuse: 331 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 scripts/access_diff.py --roster hr_roster.csv --accounts accounts.csv --inactive-days 90 --privileged-review-days 90 --as-of 2026-10-31
  • • python scripts/access_review_campaign.py --decisions campaign.csv --population accounts.csv --remediation-days 10 --close-date 2026-10-20
  • • python scripts/control_evidence_mapper.py --diff diff.json --campaign campaign.json --framework soc2,iso27001

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/access-lifecycle/SKILL.md
source blob SHA
f62c39b297240bfc8f39ad8d002c5ef7e1262865
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

shell_command

…looked at. Each script catches one class of these before the auditor does. ## Workflow ```bash # 1 - Diff: who has access that the HR roster says they should not? python scripts/access…

Watch this skill

Get alerted when this skill adds credential requirements, shell commands, external domains, remote installer patterns, or risk-level changes.

Join watchlist beta

Methodology note

SkillRadar scans SKILL.md as hostile text only. It does not execute commands, install packages, or load third-party skills.