SKILLEMALL.ai

AB design-brief

Turn a vague feature idea into an approved design brief — a file recording the intent, every decision made (with why and cost-if-wrong), scope boundaries, exact interfaces, and constraints — that task-executor, backlog-planner, and autopilot then consume as the spec. Produces decisions, not code; nothing is implemented. Use this skill whenever the user says "brainstorm this", "let's design this first", "think through this feature with me", "spec this out", "I have an idea for", "how should we build", "before we plan this", or "/design-brief" — even if they don't name the skill. Not for a task that already has a clear spec (task-executor), a bug (diagnose), or turning a decided design into tasks (backlog-planner).

ClawHub Agent Skills author: Dennis Rongo v1.0.0 MIT-0 2 files body ≈ 2 447 tokens Open the sourceclawhub.ai analyzed 2 d ago

Turn a vague feature idea into an approved design brief — a file recording the intent, every decision made (with why and cost-if-wrong), scope boundaries…

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

ProcedureSoftware developmentOperations and projectstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
B
68/100
Nearly there
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 68/100

    • 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
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 39 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 2447 tokens
    • 100Running it twice. Mutating operations check current state
    • low The response is described with custom markup (6 tags): a typed call is more reliable

    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
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 722: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 39 items
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    This skill is a project design-brief workflow that reads local project context and writes a project-scoped spec file, with no evidence of hidden execution, exfiltration, or unrelated privilege use.
    LLM: benign (high) · VirusTotal: · 10 Sept 2026