SKILLEMALL.ai

AB fde-agent-skill-designer

Stage 5 of FDE Delivery Loop. Package an approved POC scenario, PRD, and deployment constraints into a reusable, evaluable, deliverable Agent Skill. When the user explicitly needs a demo or prototype, build a minimum runnable POC with mocks, guardrails, and smoke evaluations. Use for skill responsibility, workflow, tool boundaries, guardrails, evaluation, package creation, and controlled prototype construction. Do not connect to production without requirements, architecture, and authorization, and do not replace Stage 6 real-run validation.

ClawHub Agent Skills author: xukun0821 v1.0.0 MIT-0 24 files body ≈ 2 045 tokens Open the sourceclawhub.ai analyzed 2 d ago

Stage 5 of FDE Delivery Loop.

As a process B 76/100 · Nearly there — weak spots: running it twice, progress reporting

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
B
76/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Failures and branches w 10
50
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: 24. 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 76/100

    • 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, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 33 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2045 tokens

    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)
    • +2Single-language instructions
    • +3Description length 546: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 33 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (10 of 10)
    • +3All 2 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: clean
    This skill is a disclosed skill-design and mock-POC scaffold helper, with local file generation only when explicitly requested.
    LLM: benign (high) · VirusTotal: · 7 Aug 2026