Star200+

Pre-install eval

failure-library 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
72
Trust
76
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

84

pass

Task wording matches this skill metadata.

  • Evaluate failure-library before installing it in an agent workflow
  • research
  • Research agents workflows; Claude Code teams; builders willing to evaluate younger projects

Install path

92

pass

Install handoff is available.

  • npx skills add Deupaxx/EveryDay-Writer --skill failure-library

Install command safety

92

pass

standard package or runtime install path

  • npx skills add Deupaxx/EveryDay-Writer --skill failure-library

Trust score

72

warn

Good trust signals with a few areas worth checking before rollout.

  • Strong shortlist
  • 28 GitHub stars
  • MIT

Audit score

76

warn

Needs review

  • Financial research output is not financial advice; require human review before any live investment decision

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.
  • Financial research output is not financial advice; require human review before any live investment decision

License clarity

86

pass

MIT

  • MIT

Permission surface

86

pass

filesystem or document access

  • Browser automation: medium
  • 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
  • Low GitHub adoption signal
  • The skill references core files (core/anti-ai-rules.md, core/ai_slop_commandments.md, core/voice-profile.md) that are not included in the submitted skill directory, making it incomplete for its intended teaching/generation workflow.
  • Financial research output is not financial advice; require human review before any live investment decision
  • The SKILL.md is truncated in the excerpt, but the provided content is clear and well-structured.

Supporting checks

Trust signals behind the decision

README/SKILL.md completeness

pass

86

Metadata includes enough usage and workflow context

Recent maintenance

pass

100

2d since push

Alternatives available

pass

82

Alternative skills are available for comparison.