SKILLEMALL.ai

AC paper-to-slides

End-to-end academic paper analysis and presentation generation. Use when a user provides a PDF paper (local path or arXiv URL) and wants (1) a deep research report (dual-mode Part A + Part B), (2) an HTML slide deck for group meeting / seminar / conference talk, or (3) both. Triggers on "read this paper and make slides", "parse this paper into a presentation", "论文研读+做PPT", "解析论文做成slides", or any request combining paper analysis with presentation output. Supports arXiv links (abs/pdf), DOI URLs, and direct PDF URLs.

ClawHub Agent Skills author: Hhao v1.0.0 MIT-0 9 files body ≈ 1 319 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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: 9. 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 60/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (paper-to-slides) differs from the folder (paper2slides)
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 18 steps
    • 100Execution cost. Instruction body is 1319 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 520: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 18 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill appears to do what it says: it turns user-provided papers into reports and HTML slides, with expected network and browser-preview behavior to be aware of.
    LLM: benign (high) · VirusTotal: · 29 May 2026