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AC dsh-unlimited-ocr-skill-setup

Install and configure the native Unlimited-OCR plugin for DeepSeek Harness (DSH) from its Settings GUI, using Baidu Cloud or a local SGLang/OpenAI-compatible service. Use for long-document OCR; PDF, OFD, Office, text, and scanned-image to Markdown; tables, formulas, and reading order; or DSH provider, credential, local inference, GUI setup, verification, and troubleshooting.

ClawHub Agent Skills author: Aidenwu0209 v1.0.1 MIT-0 3 files body ≈ 421 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Install and configure the native Unlimited-OCR plugin for DeepSeek Harness (DSH) from its Settings GUI, using Baidu Cloud or a local SGLang/OpenAI-compatible…

As a process C 57/100 · Has gaps — weak spots: result and completion, failures and branches, running it twice

AnalyzerAI and agentsSoftware developmenttype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
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: 3. 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
    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 1 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 421 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +3Description length 377: enough signal without eating the budget
    • +4Structure: 3 headings
    • +3Step-by-step instructions: 8 items
    • +4Has examples (1 code blocks)
    • +1License stated

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

    External checks

    ClawHub: clean
    This skill is a straightforward setup guide for installing and configuring a DSH OCR plugin, with credential-handling safeguards disclosed.
    LLM: benign (high) · VirusTotal: · 15 Aug 2026