SKILLEMALL.ai

AB iwork2md

Convert Apple iWork documents (Pages .pages, Numbers .numbers, Keynote .key) into Markdown. Use whenever the user wants to read, extract, or translate the content of an iWork file into text/markdown, for example 'convert this .pages file to markdown', 'extract text from a Numbers sheet', 'read a Keynote file', or 'open a .key/.numbers/.pages and turn it into markdown'. Handles the iWork '13+ format (bundle containing Index.zip with .iwa files that wrap Snappy-framed Protobuf) with no third-party dependencies.

ClawHub Agent Skills author: Stephen v0.1.0 MIT-0 8 files body ≈ 867 tokens Open the sourceclawhub.ai analyzed 26 h ago

Convert Apple iWork documents (Pages .pages, Numbers .numbers, Keynote .key) into Markdown. Use whenever the user wants to read, extract, or translate the…

As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, running it twice

GeneratorWriting and documentsSoftware developmentMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
B
68/100
Nearly there
Inputs and preconditions w 11
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: 7. 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 "displayName"
    • note frontmatter-key unknown frontmatter key "summary"

    Process rating: all ten parameters 68/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 1 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 15 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 867 tokens
    • 100Progress reporting. Reports progress

    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
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 514: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 15 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 3 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: clean
    This skill is a coherent local converter for Apple iWork files, with expected file access and no evidence of hidden network, credential, persistence, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 29 Jul 2026