python-backend

用于 Python 后端面试出题；覆盖 Python 基础、数据库、Django/Flask、缓存与部署，强调工程落地。

Quality

75%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./app/src/main/resources/skills/python-backend/SKILL.md

Quality

Content

77%

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

The body is efficiently written with a clear sequenced interview workflow, but actionability is held back by the absence of concrete example questions and progressive disclosure is undermined by referenced files that are missing from the bundle.

Suggestions

Add 1–2 concrete example interview questions per category (or a small question bank) so guidance is copy-paste ready rather than purely directive.

Create the referenced files (python-basic.md, database.md, django-flask.md, redis.md) under references/ so the Additional Resources navigation resolves, or remove dangling references.

Dimension	Reasoning	Score
Conciseness	The body is lean (~20 lines) with no padding and no explanations of concepts Claude already knows; every line carries a distinct directive, matching the 'lean and efficient; every token earns its place' anchor.	3 / 3
Actionability	Guidance is directive and specific ("必须追问工程实现细节", "至少一次要求候选人描述真实线上问题"), but it stays at the meta level of how to interview with no concrete example questions or templates, matching the 'some concrete guidance but incomplete; missing key details' anchor rather than the copy-paste-ready level above.	2 / 3
Workflow Clarity	The interview process is a clearly numbered sequence (1–4) covering what to probe and when to follow up; since this is not a destructive or batch operation, no validation checkpoint is required, and the single-purpose flow is unambiguous.	3 / 3
Progressive Disclosure	Sections are organized and references are one level deep with clear category-to-file mapping (PYTHON_BASIC -> python-basic.md, etc.), but the referenced bundle files do not exist in the skill directory, so navigation is signaled but not actually resolvable — matching the 'some structure but could be better organized' anchor rather than the clean one-level-deep level.	2 / 3
	Total	10 / 12 Passed

Description

72%

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 concise and names a clear, distinguishable niche with natural trigger terms, but it lacks an explicit 'when to use' clause, which caps completeness. Adding a Use-when trigger would lift it from good to strong.

Suggestions

Append an explicit trigger clause, e.g. 'Use when preparing or conducting Python backend interviews, or when the user asks for backend interview questions on Django/Flask, databases, caching, or deployment.'

Turn coverage topics into concrete actions (e.g. 'generate interview questions, design follow-up probes, evaluate answers') to raise specificity from listing domains to listing actions.

Dimension	Reasoning	Score
Specificity	It names the domain and concrete coverage areas ("Python 基础、数据库、Django/Flask、缓存与部署"), but the only stated actions are "出题" and "强调工程落地" — it lists topics covered rather than multiple discrete actions, matching the 'names domain and some actions' anchor.	2 / 3
Completeness	It states what the skill does (Python backend interview question generation across listed topics) but provides no 'Use when...' or equivalent explicit trigger guidance, so per the judging guideline completeness is capped at 2.	2 / 3
Trigger Term Quality	Natural terms a user would say are well covered — "Python 后端面试", "Django/Flask", "数据库", "缓存", "部署" — matching the 'good coverage of natural terms users would say' anchor rather than the 'missing common variations' level below.	3 / 3
Distinctiveness Conflict Risk	The niche is clear and narrow — Python backend interview prep centered on frameworks, DB design, caching and deployment — making it unlikely to trigger for the wrong skill, matching the 'clear niche with distinct triggers' anchor.	3 / 3
	Total	10 / 12 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: Snailclimb/interview-guide
Path: app/src/main/resources/skills/python-backend/SKILL.md
Commit: 0780137

Reviewed: 3 days ago

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