Skill audit report

phd-benchmark-paper-template Audit report.

Structures Benchmark and Evaluation papers using the five-pillar framework (Research Gap, Construction Pipeline, Evaluation Framework, Empirical Findings, optional Companion Method). Returns a completeness audit, a six-part Introduction logic chain, a Section 2-7 skeleton, and a pre-submission checklist. Use when writing a benchmark paper, structuring a benchmark paper, checking whether a benchmark idea is substantive, drafting a benchmark Introduction, or planning the data-construction pipeline or experiments.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 13, 2026Heuristic metadata audit
71
Audit
73
Trust
53
Quality
80
Security
76
Maintain
92
Install

OpenAgentSkill Trust Score

73
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

48

52 GitHub stars

Stars/forks activity

WARN

43

52 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

76

4mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

82

database surface

Install availability

PASS

92

npx skills add Immortalqx/my_codex_skills --skill phd-benchmark-paper-template

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

74

filesystem or document access, database access

Repository evidence

PASS

86

https://github.com/Immortalqx/my_codex_skills/tree/main/phd-benchmark-paper-template

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 9 Needs review

Install path

92

PASS

npx skills add Immortalqx/my_codex_skills --skill phd-benchmark-paper-template

Repository

88

PASS

https://github.com/Immortalqx/my_codex_skills/tree/main/phd-benchmark-paper-template

License

86

PASS

MIT

Maintenance

76

CHECK

4mo since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

82

PASS

database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

74

CHECK

filesystem or document access, database access

Stars/forks activity

43

FIX

52 stars, 0 forks; issue activity unavailable in current metadata

Adoption

68

INFO

52 GitHub stars

Warnings

  • AI review approval is missing
  • Quality score needs review
  • GitHub adoption: 52 GitHub stars
  • Stars/forks activity: 52 stars, 0 forks; issue activity unavailable in current metadata
  • Review status: AI review approval is missing

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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