SKILLEMALL.ai

AC skill-validation

Gunakan skill ini saat: validation" [shape=box];; > "skill-validation" [label="yes"];; > "Editing existing skill?" [label="no"];. Aktif untuk tugas terkait skill-validation."v2.0.0: Align with current ClawHub spec — trigger-style descriptions, single-line metadata JSON, folder=slug rule, progressive disclosure budget, install specs. v1.0.0: Initial checklist

ClawHub Agent Skills author: Suga Nick v2.0.0 MIT-0 4 files body ≈ 1 746 tokens Open the sourceclawhub.ai analyzed 2 d ago

Gunakan skill ini saat: validation" [shape=box];; > "skill-validation" [label="yes"];; > "Editing existing skill?" [label="no"];. Aktif untuk tugas terkait…

As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

AnalyzerInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
52/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Unexpected flow-seq-start at node end at line 2, column 51: description: "Gunakan skill ini saat: validation" [shape=box];; > "skill-valida… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 52/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 39 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1746 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

    • +4Description does not say when NOT to use the skill (false activations)
    • -214 emoji in the instructions: noise for the model
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 360: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 39 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This skill is a checklist-style validator for OpenClaw skills and does not contain hidden execution, persistence, credential use, or unrelated data handling.
    LLM: benign (high) · VirusTotal: · 25 Aug 2026