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BD tdd-guide

Guide red-green-refactor TDD with test generation, coverage-gap analysis, and multi- framework support. Use when writing tests first, analyzing coverage, generating test stubs, or converting tests between Jest, Pytest, JUnit, and Vitest.

borghei/Claude-Skills Agent Skills author: borghei 21 files · 9 scripts body ≈ 2 159 tokens Open the sourcegithub.com↗ analyzed 7 h ago

Guide red-green-refactor TDD with test generation, coverage-gap analysis, and multi- framework support.

As a process D 44/100 · Unfinished process — References files that are not bundled: assets/sample_coverage_report.lcov, assets/sample_coverage_gaps.lcov, references/*.md

AnalyzerSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
80
Run on models
none yet
Process rating
D
44/100
Unfinished process
References files that are not bundled: assets/sample_coverage_report.lcov, assets/sample_coverage_gaps.lcov, references/*.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. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security SKILL.md:108
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - Security-focused test generation (fuzz testing, penetration testing) -- see `senior-security` and `senior-secops` skills

Files scanned: 21. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/sample_coverage_report.lcov
  • warning missing-ref reference to a missing file: assets/sample_coverage_gaps.lcov
  • warning missing-ref reference to a missing file: references/*.md

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: assets/sample_coverage_report.lcov, assets/sample_coverage_gaps.lcov, references/*.md
  • 0Tools and files. 3 referenced file(s) missing: assets/sample_coverage_report.lcov, assets/sample_coverage_gaps.lcov, references/*.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. 3 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 55Failures and branches. 1 branches
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2159 tokens
  • low 10 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 237: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 9 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.