Pre-install eval
novel-truncator 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.
manual review
Require human approval before installing into a real workspace.
Required gates
Checks an agent must pass before install
Task fit
84
Task wording matches this skill metadata.
- Evaluate novel-truncator before installing it in an agent workflow
- other
- Design and creative workflows; Claude Code teams; builders willing to evaluate younger projects
Install path
92
Install handoff is available.
- npx skills add VanGong1999/screen-creative-skills --skill novel-truncator
Install command safety
92
standard package or runtime install path
- npx skills add VanGong1999/screen-creative-skills --skill novel-truncator
Trust score
71
Potentially useful, but at least one trust signal needs human inspection.
- Manual review
- 457 GitHub stars
- MIT
Audit score
80
Needs review
- SKILL.md 未说明如何调用脚本或集成到智能体工作流中,缺少运行方式说明。
Agent safety gate
68
Usable candidate, but the agent should surface permission and audit notes before installation.
- Require human approval before installing into a real workspace.
- SKILL.md 未说明如何调用脚本或集成到智能体工作流中,缺少运行方式说明。
License clarity
86
MIT
- MIT
Permission surface
100
no high-risk permission surface in public metadata
- Network 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
- SKILL.md 未说明如何调用脚本或集成到智能体工作流中,缺少运行方式说明。
- 示例4中截断后长度(72)超过了最大长度(60),与约束条件矛盾,可能误导用户。
- 脚本中截断标记参数未在代码中实现,文档与实现不一致。
- Quality score needs review
Supporting checks
Trust signals behind the decision
README/SKILL.md completeness
warn70
Public metadata needs stronger README/SKILL.md context
Recent maintenance
pass100
5d since push
Alternatives available
pass82
Alternative skills are available for comparison.