interview-prep Eval
===================

Status: review
Score: 66/100
Risk: medium
Decision: manual_review
Policy: review
Reason: Test manually in an isolated workspace and compare against safer alternatives.

Install:
npx skills add riwonswain-ovo/OfferLoop --skill interview-prep

Required checks:
- PASS Task fit: Task wording matches this skill metadata.
- PASS Install path: Install handoff is available.
- PASS Install command safety: standard package or runtime install path
- WARN Trust score: Potentially useful, but at least one trust signal needs human inspection.
- WARN Audit score: Needs review
- WARN Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- PASS License clarity: MIT
- WARN Permission surface: filesystem or document access, network or browser access

Warnings:
- Trust score: Potentially useful, but at least one trust signal needs human inspection.
- Audit score: Needs review
- Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- Permission surface: filesystem or document access, network or browser access
- Permission surface may require sandboxing
- The skill depends on several external runtime references and sibling skills (`../.offerloop-runtime`, `../recruiting-reminder`, `experience-deepthink`, `chrome:control-chrome`, `lark-wiki`, etc.) that are not part of the submitted skill directory. If those are missing, the workflow cannot run as documented.
- The excerpt shows SKILL.md and several reference files, but not all referenced documents in full. The quality of execution depends on those references being present and complete in the repository.
- The skill relies on the user's existing logged-in browser state for platforms like Xiaohongshu and Niuke. This is properly constrained but may be fragile across environments and platform policy changes.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- GitHub adoption: 13 GitHub stars

Validation plan:
1. Inspect repository, README/SKILL.md, license, and recent commits before production use.
2. Install in an isolated workspace or sandbox with no production secrets available.
3. Run the smallest representative task and record files touched, commands run, network access, and outputs.
4. Compare the selected skill against at least one alternative when the eval status is review or failed.
5. Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Do not use when:
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- The skill depends on several external runtime references and sibling skills (`../.offerloop-runtime`, `../recruiting-reminder`, `experience-deepthink`, `chrome:control-chrome`, `lark-wiki`, etc.) that are not part of the submitted skill directory. If those are missing, the workflow cannot run as documented.
- No OpenAgentSkill engagement data yet
- Permission surface may require sandboxing
- The excerpt shows SKILL.md and several reference files, but not all referenced documents in full. The quality of execution depends on those references being present and complete in the repository.
- The skill relies on the user's existing logged-in browser state for platforms like Xiaohongshu and Niuke. This is properly constrained but may be fragile across environments and platform policy changes.

URLs:
- Skill: https://www.openagentskill.com/skills/riwonswain-ovo-interview-prep
- Audit: https://www.openagentskill.com/skills/riwonswain-ovo-interview-prep/audit
- JSON: https://www.openagentskill.com/api/agent/evals?slug=riwonswain-ovo-interview-prep