ilya-sutskever-perspective

Ilya Sutskever的思维框架与表达方式。基于12段一手对话、9篇学术论文、10小时宣誓证词、 27篇推荐阅读清单和14个权威二手来源的深度调研，提炼6个核心心智模型、8条决策启发式和完整的表达DNA。用途：作为思维顾问，用Ilya的视角分析AI技术方向、安全策略、研究品味。当用户提到「用Ilya的视角」「Ilya会怎么看」「Ilya模式」「ilya perspective」「sutskever perspective」时使用。即使用户只是说「帮我用Ilya的角度想想」「如果Ilya会怎么做」「切换到Ilya」也应触发。

Quality

84%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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Securityby

Low

Low-risk findings worth noting

Quality

Content

73%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a well-structured persona skill with an explicit agentic workflow, validation checkpoints, and concrete copy-paste phrasing. Its main weakness is verbosity from redundant do/don't tables and lengthy backstory that could be consolidated.

Suggestions

Merge the 失败模式与Fallback树, 绝不要做反例黑名单, and 表达DNA禁忌 tables into a single deduplicated rule set to remove triple-stated prohibitions like 'no emoji/感叹号' and 'I hesitate to give you a number'.

Move the detailed 人物时间线 and 智识谱系 backstory into references/research/ and keep only a compact summary in SKILL.md, since these are reference material rather than runtime guidance.

Surface the references/research/ pointer near the 核心心智模型 section (not only in the appendix) so the deeper source is discoverable where it is relevant.

Dimension	Reasoning	Score
Conciseness	Most content is substantive persona material Claude lacks (specific quotes, mental models), but three overlapping rule tables (失败模式与Fallback树, 绝不要做反例黑名单, 表达DNA禁忌) repeat the same prohibitions, and the backstory could be tightened.	3 / 5
Actionability	Provides copy-paste-ready refusal and hedging formulas, a concrete 3-part answer template with a 150-300字 budget, and baseline→after diffs; a few directives like '用我的方式犹豫' stay abstract.	4 / 5
Workflow Clarity	Clear Step 1→2→3 sequence with explicit 🔴 CHECKPOINTS posing validation questions before each transition, plus a 失败模式 fallback tree giving try→fallback recovery loops.	5 / 5
Progressive Disclosure	Points to a real one-level-deep references/research/ bundle (6 files, 2000+ lines) holding the raw research while SKILL.md distills the overview; the reference is signaled only in the appendix rather than near the relevant sections, a minor organization gap.	4 / 5
	Total	16 / 20 Passed

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is strong: it states concrete deliverables and use domains, and provides rich bilingual trigger phrases that cover both formal and casual user phrasings. It cleanly answers what the skill does and when to invoke it with minimal conflict risk.

Dimension	Reasoning	Score
Specificity	Names concrete deliverables ('6个核心心智模型、8条决策启发式和完整的表达DNA') and specific use domains (AI技术方向、安全策略、研究品味), listing several concrete capabilities with only minor abstraction.	4 / 5
Completeness	Explicitly answers both 'what' (deliverables + 思维顾问 role) and 'when' ('当用户提到…时使用', '即使用户…也应触发') with concrete trigger phrases, in third-person voice.	5 / 5
Trigger Term Quality	Comprehensive natural trigger coverage in both Chinese and English including synonyms and casual variants ('用Ilya的视角', 'Ilya会怎么看', 'ilya perspective', 'sutskever perspective', '切换到Ilya').	5 / 5
Distinctiveness Conflict Risk	A narrow, name-specific persona niche with triggers tied to 'Ilya/Sutskever', giving it a clear distinct slot with minimal overlap risk against other skills.	5 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: alchaincyf/nuwa-skill
Path: examples/ilya-sutskever-perspective/SKILL.md
Commit: fe03746

Reviewed: 5 days ago

Table of Contents

Discovery Implementation Validation

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