SKILLEMALL.ai

AB content-alchemy

Turn articles, web pages, PDFs, and excerpts into structured notes, key insights, practical actions, and reusable takeaways.

ClawHub Agent Skills author: INF-Lucas v1.0.0 MIT-0 29 files body ≈ 1 788 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 79/100 · Nearly there — weak spots: progress reporting

ProcedureWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
B
79/100
Nearly there
Progress reporting w 2
0
Tools and files w 18
60
Result and completion w 14
60
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: 29. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "changelog"

    Process rating: all ten parameters 79/100

    • 0Progress reporting. Says nothing while it works
    • 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
    • 70Failures and branches. 5 branches
    • 100Steps. 95 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1788 tokens
    • 100Running it twice. No mutating operations
    • low 13 top-level sections: this looks like several domains in one skill

    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)
    • -42 reference files, but SKILL.md never points to them: the model will not open them
    • -31 of 10 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 124: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 95 items
    • +3Output format is stated explicitly
    • +4Has examples (13 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This skill does what it says: it turns user-provided text, URLs, and PDFs into notes, with disclosed local helper scripts and saved long-PDF progress.
    LLM: benign (high) · VirusTotal: · 29 May 2026