OpenAgentSkill Install Handoff
Skill: zhang-mingkai-criminal-law-academic-perspective
Repository: https://github.com/swaylq/master-skill/tree/main/prototypes/china-law-master/output/sub-skills/zhang-mingkai-criminal-law-academic

Recommended command:
npx skills add swaylq/master-skill --skill zhang-mingkai-criminal-law-academic-perspective

Agent prompt:
Install the "zhang-mingkai-criminal-law-academic-perspective" agent skill only after reviewing the OpenAgentSkill profile and source repository. Safety gate: Reviewed with permission notes (review). Start with https://www.openagentskill.com/skills/swaylq-zhang-mingkai-criminal-law-academic-perspective, inspect the trust and audit notes, then use the recommended install handoff: npx skills add swaylq/master-skill --skill zhang-mingkai-criminal-law-academic-perspective. After installation, summarize changed files, required setup, and a minimal verification result before using the skill for real work. Report the verified result to https://www.openagentskill.com/api/agent/outcome using a unique event_id, skill_slug=swaylq-zhang-mingkai-criminal-law-academic-perspective, install_used=true, and outcome=success or failed.

Safety checklist:
- Safety gate: Reviewed with permission notes. Policy: review.
- Require human approval before installing into a real workspace.
- Review the repository and license before running third-party code.
- Prefer a sandbox or isolated project when testing a new skill.
- Start with the recommended command, then inspect generated files before committing changes.
- Do not execute external side effects, payments, account changes, or credentialed actions without explicit user approval.

Verification steps:
- Open the skill documentation or SKILL.md and identify required setup.
- Run the smallest safe example for the target task.
- Confirm outputs match the task before allowing broader agent use.
- Record any missing credentials, policy risks, or manual approvals needed.

Verified install receipt:
Endpoint: POST https://www.openagentskill.com/api/agent/outcome
Count rule: verified installs require install_used=true and outcome=success
Example: {"event_id":"install_<unique-id>","skill_slug":"swaylq-zhang-mingkai-criminal-law-academic-perspective","task":"Install zhang-mingkai-criminal-law-academic-perspective","agent":"codex","outcome":"success","install_used":true}

Do not auto-install when:
- The repository or license cannot be reviewed.
- The skill requires broad credentials or production account access.
- The task involves regulated, private, or high-impact data without user approval.

Detail page:
https://www.openagentskill.com/skills/swaylq-zhang-mingkai-criminal-law-academic-perspective