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BF review-python

Comprehensive Python/FastAPI backend code review with optional parallel agents

ClawHub Agent Skills author: Kevin Anderson v1.0.2 MIT-0 2 files body ≈ 2 414 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 48/100 · Will not run — References files that are not bundled: ../review-verification-protocol/SKILL.md, ../python-code-review/SKILL.md, ../fastapi-code-review/SKILL.md

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: ../review-verification-protocol/SKILL.md, ../python-code-review/SKILL.md, ../fastapi-code-review/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: ../review-verification-protocol/SKILL.md
  • warning missing-ref reference to a missing file: ../python-code-review/SKILL.md
  • warning missing-ref reference to a missing file: ../fastapi-code-review/SKILL.md
  • warning missing-ref reference to a missing file: ../pytest-code-review/SKILL.md
  • warning missing-ref reference to a missing file: ../../../beagle-ai/skills/pydantic-ai-common-pitfalls/SKILL.md
  • warning missing-ref reference to a missing file: ../sqlalchemy-code-review/SKILL.md
  • warning missing-ref reference to a missing file: ../postgres-code-review/SKILL.md

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: ../review-verification-protocol/SKILL.md, ../python-code-review/SKILL.md, ../fastapi-code-review/SKILL.md
  • 0Tools and files. 7 referenced file(s) missing: ../review-verification-protocol/SKILL.md, ../python-code-review/SKILL.md, ../fastapi-code-review/SKILL.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 4 branches
  • 100Steps. 50 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2414 tokens
  • low 13 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 78: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 50 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
The available scan context is clean and does not show behavior that is hidden, destructive, or outside the skill’s stated purpose.
LLM: benign (medium) · VirusTotal: · 1 Jun 2026