SKILLEMALL.ai

AC write-tests

Author tests that actually catch regressions — picks WHAT to test by risk (branch points, boundaries, error paths, money/auth/concurrency), proves every new test can fail (a test never seen red is decoration), mocks only boundaries you don't own, and pins untested legacy code with labeled characterization tests before anything else touches it. Use this skill whenever the user says "write tests", "add tests", "test this", "add coverage", "unit test this function", "increase coverage", "add a regression test", "characterization tests", "TDD this", or "/write-tests" — even if they don't explicitly say "test skill". Do not use for diagnosing a failing test (use diagnose) or reviewing existing tests as part of a diff (use code-review).

ClawHub Agent Skills author: Dennis Rongo v1.0.1 MIT-0 2 files body ≈ 2 918 tokens Open the sourceclawhub.ai analyzed 2 d ago

Author tests that actually catch regressions — picks WHAT to test by risk (branch points, boundaries, error paths, money/auth/concurrency), proves every new…

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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: 2. 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 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 85Steps. 42 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2918 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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

    • +3Output format is not stated: the model decides each time
    • -220 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 11 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 740: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 42 items
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill provides a clear test-writing workflow and does not include hidden code, persistence, credential use, or remote execution.
    LLM: benign (high) · VirusTotal: · 10 Sept 2026