Pre-install eval

deep-dive 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.

Needs reviewMedium riskREVIEW Policy
68
Eval report
69
Trust
72
Audit
56
Agent safety

manual review

Test manually in an isolated workspace and compare against safer alternatives.

Required gates

Checks an agent must pass before install

Open JSON

Task fit

94

pass

Task wording matches this skill metadata.

  • Evaluate deep-dive before installing it in an agent workflow
  • automation
  • Research agents workflows; Claude Code teams; builders willing to evaluate younger projects

Install path

92

pass

Install handoff is available.

  • npx skills add nelsonwerd/idea-to-ship-skills --skill deep-dive

Install command safety

92

pass

standard package or runtime install path

  • npx skills add nelsonwerd/idea-to-ship-skills --skill deep-dive

Trust score

69

warn

Potentially useful, but at least one trust signal needs human inspection.

  • Manual review
  • 83 GitHub stars
  • MIT

Audit score

72

warn

Needs review

  • The SKILL.md description is very verbose and uses strong trigger phrases ('ALWAYS invoke') which could lead to over-invocation for tasks that don't truly need a multi-agent deep dive, though the skill includes right-sizing guidance.

Agent safety gate

56

warn

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

  • Test manually in an isolated workspace and compare against safer alternatives.
  • The SKILL.md description is very verbose and uses strong trigger phrases ('ALWAYS invoke') which could lead to over-invocation for tasks that don't truly need a multi-agent deep dive, though the skill includes right-sizing guidance.

License clarity

86

pass

MIT

  • MIT

Permission surface

86

pass

filesystem or document access

  • Network access: medium
  • Filesystem access: medium

Validation plan

What the agent should do next

  1. 1Inspect repository, README/SKILL.md, license, and recent commits before production use.
  2. 2Install in an isolated workspace or sandbox with no production secrets available.
  3. 3Run the smallest representative task and record files touched, commands run, network access, and outputs.
  4. 4Compare the selected skill against at least one alternative when the eval status is review or failed.
  5. 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 description is very verbose and uses strong trigger phrases ('ALWAYS invoke') which could lead to over-invocation for tasks that don't truly need a multi-agent deep dive, though the skill includes right-sizing guidance.
  • The skill relies on parallel subagent orchestration which may not be available in all runtimes, but it explicitly provides fallback strategies, so this is a minor portability concern rather than a blocker.
  • Quality score needs review
  • GitHub adoption: 83 GitHub stars

Supporting checks

Trust signals behind the decision

README/SKILL.md completeness

pass

86

Metadata includes enough usage and workflow context

Recent maintenance

warn

76

3mo since push

Alternatives available

pass

82

Alternative skills are available for comparison.