SKILLEMALL.ai
RU Sign in

AB resilient-pdf

Recover PDF extraction and summarization workflows when native PDF handling fails, hangs, times out, or rejects large files. Use when working with local or remote PDFs, especially research papers, manuals, system cards, or other long documents that exceed provider limits or fail in the built-in `pdf` tool. Supports URL download, local extraction via `uvx` + `markitdown[pdf]`, optional chunking, and first-pass summary artifacts.

ClawHub Agent Skills author: cdmichaelb v1.1.0 MIT-0 4 files body ≈ 808 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 72/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, progress reporting

ProcedureWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
98
Quality 40%
94
Run on models
none yet
Process rating
B
72/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Concealment en-hide-from-user skill-card.md:23
      Instruction to hide actions from the user (negated — the text forbids it)
      Mitigation: Do not silently install dependencies; run the extraction only when the operator accepts the local toolchain and source document. <br>
      negated
    • low Concealment en-hide-from-user SKILL.md:89
      Instruction to hide actions from the user (negated — the text forbids it)
      Do not silently install dependencies unless the user asked you to.
      negated

    Files scanned: 4. 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 72/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 35 steps
    • 100Failures and branches. 6 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 808 tokens
    • 100Running it twice. No mutating operations

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 431: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 35 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This skill is a transparent PDF fallback helper that downloads or reads user-specified PDFs, extracts text locally, and writes chosen output files.
    LLM: benign (high) · VirusTotal: · 29 May 2026