Pre-install eval
setting-up-a-project 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 setting-up-a-project before installing it in an agent workflow
- research
- Research agents workflows; Claude Code teams; builders willing to evaluate younger projects
Install path
92
Install handoff is available.
- npx skills add JetBrains/thinkrail --skill setting-up-a-project
Install command safety
92
standard package or runtime install path
- npx skills add JetBrains/thinkrail --skill setting-up-a-project
Trust score
72
Good trust signals with a few areas worth checking before rollout.
- Strong shortlist
- 38 GitHub stars
- Apache-2.0
Audit score
77
Needs review
- The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools.
Agent safety gate
61
Usable candidate, but the agent should surface permission and audit notes before installation.
- Require human approval before installing into a real workspace.
- The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools.
License clarity
86
Apache-2.0
- Apache-2.0
Permission surface
86
filesystem or document access
- 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
- Low GitHub adoption signal
- The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools.
- No OpenAgentSkill engagement data yet
- The detection step is underspecified: it does not explain how to identify a spec graph or distinguish 'real source code' from scaffolding beyond examples.
Supporting checks
Trust signals behind the decision
README/SKILL.md completeness
pass86
Metadata includes enough usage and workflow context
Recent maintenance
pass100
Pushed today
Alternatives available
pass82
Alternative skills are available for comparison.