SKILLEMALL.ai

AC make-html

Aggressively produce self-contained HTML artifacts instead of Markdown for substantial agent outputs. Use when the user asks for a doc, plan, spec, report, review, PR description, explainer, summary, comparison, research artifact, dashboard, diagram, flowchart, timeline, deck, slides, prototype, design reference, component sheet, editor, prompt tuner, config editor, triage board, or any human-facing deliverable that benefits from layout, visual hierarchy, navigation, diagrams, interactivity, or sharing. Default to this skill even when the user does not explicitly request HTML; stay in plain chat only for very short replies, code-only snippets, terminal commands, or explicit non-HTML requests.

ClawHub Agent Skills author: Jason (Json) v1.3.1 MIT-0 15 files body ≈ 2 556 tokens Open the sourceclawhub.ai analyzed 5 h ago

Aggressively produce self-contained HTML artifacts instead of Markdown for substantial agent outputs.

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorData and analyticsAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 15. 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 63/100

    • 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
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 72 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2556 tokens
    • 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +4No input/output examples
    • -32 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 701: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 72 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (9 of 9)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This skill mainly generates local HTML artifacts and has an optional, disclosed sharing path that uploads a finished HTML file to a GitHub Gist only when hosted sharing is requested.
    LLM: benign (high) · VirusTotal: · 9 Jul 2026