Pre-install eval
video-data Eval report.
A machine-readable install decision for agents: task fit, Trust Score, Audit Score, install safety, permission surface, and a concrete validation plan before this skill touches a workspace.
do not auto install
Permission surface: secrets or environment access, shell or command execution
Required gates
Checks an agent must pass before install
Task fit
70
Task fit is weak; compare alternatives before selecting.
- Evaluate video-data before installing it in an agent workflow
- research
- Multimodal media workflows; Claude Code teams; teams that value GitHub adoption signals
Install path
92
Install handoff is available.
- npx skills add oxylabs/agent-skills --skill video-data
Install command safety
92
standard package or runtime install path
- npx skills add oxylabs/agent-skills --skill video-data
Trust score
67
Potentially useful, but at least one trust signal needs human inspection.
- Manual review
- 566 GitHub stars
- MIT
Audit score
77
Needs review
- Permission surface may require sandboxing
Agent safety gate
45
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- Test manually in an isolated workspace and compare against safer alternatives.
- High-risk permission hints: Shell or command execution
License clarity
86
MIT
- MIT
Permission surface
22
secrets or environment access, shell or command execution
- Shell or command execution: high
- Network access: medium
- Filesystem access: medium
Validation plan
What the agent should do next
- 1Inspect repository, README/SKILL.md, license, and recent commits before production use.
- 2Install in an isolated workspace or sandbox with no production secrets available.
- 3Run the smallest representative task and record files touched, commands run, network access, and outputs.
- 4Compare the selected skill against at least one alternative when the eval status is review or failed.
- 5Promote only after the agent reports a successful verification result and unresolved warnings are accepted.
Do not use when
Conditions that require another skill
- teams that need a vendor-supported SLA
- production agents without a repository review
- The SKILL.md and examples.md contain truncated code snippets (e.g., Python example ends with 'uuid' without completion).
- High-risk permission hints: Shell or command execution
- Permission surface may require sandboxing
- No error handling or rate-limit guidance is provided for API calls or downloads.
Supporting checks
Trust signals behind the decision
README/SKILL.md completeness
pass86
Metadata includes enough usage and workflow context
Recent maintenance
pass100
2d since push
Alternatives available
pass82
Alternative skills are available for comparison.