Skill audit report

peft-fine-tuning Audit report.

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 13, 2026Heuristic metadata audit
85
Audit
80
Trust
87
Quality
74
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

80
Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

PASS

100

13K GitHub stars

Stars/forks activity

PASS

92

13K stars, 948 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

2d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

94

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

44

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add Orchestra-Research/AI-Research-SKILLs --skill peft-fine-tuning

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

50

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/03-fine-tuning/peft

Review status

WARN

50.9

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 14 Needs review

Install path

92

PASS

npx skills add Orchestra-Research/AI-Research-SKILLs --skill peft-fine-tuning

Repository

88

PASS

https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/03-fine-tuning/peft

License

86

PASS

MIT

Maintenance

100

PASS

2d since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

94

PASS

Usable description available

Dependency risk

44

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

50

FIX

secrets or environment access, shell or command execution

Stars/forks activity

92

PASS

13K stars, 948 forks; issue activity unavailable in current metadata

Adoption

88

PASS

13K GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • AI review approval is missing
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • 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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