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fastapi-pro

Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.

43

Quality

43%

Does it follow best practices?

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/fastapi-pro/SKILL.md

The canonical home for this skill is fastapi-pro in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

17%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 an expansive, generic capability listing with no executable guidance, no validation checkpoints, and a broken reference to a missing playbook. It functions as a persona/feature catalog rather than an actionable skill.

Suggestions

Replace the enumerated capability and knowledge-base lists with a concise overview and move detailed material into real reference files under references/.

Add concrete, copy-paste-ready code examples for the common cases (async endpoint, async SQLAlchemy session, JWT auth) to raise actionability.

Introduce an explicit workflow with validation/verification checkpoints (e.g. run tests, verify OpenAPI renders, check migration applies) instead of abstract numbered steps.

DimensionReasoningScore

Conciseness

The body is noticeably verbose: large enumerated capability and knowledge-base lists restate concepts Claude already knows, and the 'Purpose' section repeats the persona line; not a 3 because the padding is pervasive rather than incidental.

2 / 5

Actionability

There is no executable code, commands, or concrete examples anywhere in the body — only abstract directives like 'Clarify goals' and 'Apply relevant best practices', and the one detailed reference points to a non-existent file.

1 / 5

Workflow Clarity

A rough sequence exists ('Response Approach' steps 1–8) but steps are abstract and undefined, with no validation checkpoints or feedback loops for the batch/destructive-style operations the skill covers.

2 / 5

Progressive Disclosure

Minimal effective structure: the capability enumerations that belong in separate reference files are inlined, and the single pointer ('open resources/implementation-playbook.md') references a file that does not exist in the bundle.

2 / 5

Total

7

/

20

Passed

Description

70%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 clearly conveys a specific FastAPI-centric niche with strong trigger terms, but it omits any explicit "Use when..." guidance, capping its completeness. It reads as a capability summary rather than a complete trigger description.

Suggestions

Add an explicit 'Use when...' clause naming concrete triggers, e.g. 'Use when building async APIs, WebSockets, or microservices with FastAPI.'

Swap high-level verbs ('Build', 'Master') for discrete actions to push specificity toward 5.

Include common user phrasings or file/context cues (e.g. 'async endpoints', 'FastAPI routes', '.py async services') to broaden natural trigger coverage.

DimensionReasoningScore

Specificity

Lists several concrete capabilities ("Build high-performance async APIs", "microservices, WebSockets") tied to specific named technologies (FastAPI, SQLAlchemy 2.0, Pydantic V2), with only minor coverage gaps; not a 5 because the verbs "Build" and "Master" stay somewhat high-level rather than enumerating discrete actions.

4 / 5

Completeness

The "what" is clearly stated (build async APIs with FastAPI/SQLAlchemy/Pydantic) but there is no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 3 per the rubric guidelines.

3 / 5

Trigger Term Quality

Includes natural terms a user would say ("FastAPI", "async APIs", "WebSockets", "microservices", "Pydantic", "SQLAlchemy") with good coverage; not a 5 because it omits common synonyms/file extensions and the phrasing leans technical rather than conversational.

4 / 5

Distinctiveness Conflict Risk

The FastAPI + SQLAlchemy 2.0 + Pydantic V2 niche is distinct and unlikely to trigger for unrelated skills, with minimal overlap risk.

5 / 5

Total

16

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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