SKILLEMALL.ai

AB learning-path-designer

Use this skill when an L&D professional, instructional designer, HR business partner, or corporate training manager needs to design a structured learning path for a role, competency gap, or upskilling initiative. Covers competency gap analysis, Bloom's taxonomy–aligned objective writing, modality selection, module sequencing, and assessment design. Produces a DRAFT learning path curriculum map for L&D-lead review before content development begins.

ClawHub Agent Skills author: devasher v0.1.0 MIT-0 4 files body ≈ 1 624 tokens Open the sourceclawhub.ai analyzed 22 h ago

Use this skill when an L&D professional, instructional designer, HR business partner, or corporate training manager needs to design a structured learning path…

As a process B 73/100 · Nearly there — weak spots: failures and branches, progress reporting

AnalyzerLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
73/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
When it triggers w 12
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: 4. 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 73/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 51 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1624 tokens
    • 100Running it twice. Mutating operations check current state

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 451: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 51 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This skill is a straightforward learning-path planning guide and does not ask for unusual access or perform hidden actions.
    LLM: benign (high) · VirusTotal: · 31 May 2026