SKILLEMALL.ai

AB tdd-spec

Test-driven development using the approved SPEC SDD as the source of truth. Reads `.specs/SPEC-{YYYYMMDD}-{feature}.md`, turns requirements and acceptance criteria into red-green-refactor vertical slices. Use when implementing a feature or bugfix after the SPEC is approved. User-facing questions and recommendations must be in Portuguese (pt-BR). Part of the afonsoft/skills collection.

ClawHub Agent Skills author: Afonso Dutra Nogueira Filho v1.0.0 MIT-0 7 files body ≈ 1 051 tokens Open the sourceclawhub.ai analyzed 2 d ago

Test-driven development using the approved SPEC SDD as the source of truth.

As a process B 68/100 · Nearly there — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
B
68/100
Nearly there
Inputs and preconditions w 11
0
Failures and branches w 10
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 68/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 1 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 100Tools and files. No external tools needed
    • 100Steps. 36 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1051 tokens
    • 100Progress reporting. Reports progress

    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 387: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 36 items
    • +4Has examples (3 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This is a disclosed SPEC-driven TDD workflow skill with no hidden code, persistence, credential handling, or unrelated authority.
    LLM: benign (high) · VirusTotal: · 9 Sept 2026