SKILLEMALL.ai

AC piano-score-fingering

Read piano scores from images, PDFs, MusicXML, MXL, or MuseScore files; preserve the page coordinates of every notehead; generate playable two-hand fingering with the bundled dynamic hand-position search; and deliver an annotated PDF or fingered MusicXML. Use for piano-score recognition, automatic fingering, coordinate-accurate score annotation, fingering review, and practice guidance without requiring PianoPlayer, MuseScore, ReportLab, or online OMR services.

ClawHub Agent Skills author: Yannxin v0.1.0 MIT-0 80 files body ≈ 3 223 tokens Open the sourceclawhub.ai analyzed 2 d ago

Read piano scores from images, PDFs, MusicXML, MXL, or MuseScore files; preserve the page coordinates of every notehead; generate playable two-hand fingering…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
94
Quality 40%
85
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Obfuscation obf-base64-blob scripts/vendor/pypdf/_codecs/_codecs.py:181
      Long base64-looking blob (code comment)
      # https://github.com/empira/PDFsharp/blob/5fbf…f5d/src/foundation/src/PDFsharp/src/PdfSharp/Pdf.Filters/LzwDecode.cs
      comment
    • low Obfuscation obf-hex-escape-chain scripts/vendor/pypdf/_encryption.py:112
      Escaped/char-code string obfuscation (quoted — discussed, not commanded)
      b"\x28\xbf\x4e\x5e\x4e\x75\x8a\x41\x64\x00\x4e\x56\xff\xfa\x01\x08"
      quoted
    • low Obfuscation obf-hex-escape-chain scripts/vendor/pypdf/_encryption.py:113
      Escaped/char-code string obfuscation (quoted — discussed, not commanded)
      b"\x2e\x2e\x00\xb6\xd0\x68\x3e\x80\x2f\x0c\xa9\xfe\x64\x53\x69\x7a"
      quoted
    • low Obfuscation obf-hex-escape-chain scripts/vendor/pypdf/generic/_image_inline.py:194
      Escaped/char-code string obfuscation (quoted — discussed, not commanded)
      b"\xc0\xc1\xc2\xc3\xc4\xc5\xc6\xc7\xc9\xca\xcb\xcc\xcd\xce\xcf"
      quoted
    • low Obfuscation obf-hex-escape-chain scripts/vendor/pypdf/generic/_image_inline.py:196
      Escaped/char-code string obfuscation (quoted — discussed, not commanded)
      b"\xe0\xe1\xe2\xe3\xe4\xe5\xe6\xe7\xe8\xe9\xea\xeb\xec\xed\xee\xef\xfe"
      quoted
    • low Obfuscation obf-base64-blob scripts/vendor/pypdf/generic/_image_inline.py:271
      Long base64-looking blob (quoted — discussed, not commanded)
      https://github.com/itext/itext-java/blob/9.1.0/kernel/src/main/java/com/itextpdf/kernel/pdf/canvas/parser/util/InlineImageParsingUtils.java
      quoted

    Files scanned: 80. 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 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 26 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3223 tokens
    • 100Running it twice. Mutating operations check current state
    • 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -35 of 15 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 464: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (12 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This skill is a local piano-score fingering tool that reads user-supplied score files and writes annotated outputs without hidden network, persistence, or unrelated actions.
    LLM: benign (high) · VirusTotal: · 16 Aug 2026