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AC easylink-easydoc-parse

Use when tasks need EasyDoc REST API to convert unstructured documents into structured JSON or markdown on either China EasyLink platform or global EasyDoc platform. Trigger for requests about POST /v1/easydoc/parse and GET /v1/easydoc/parse/{task_id} (cn), POST /api/v1/parse and GET /api/v1/parse/{task_id}/result (global), selecting parse mode (cn: easydoc-parse-flash or easydoc-parse-premium, global: lite), normalizing parse output for LLM pipelines, and handling RAG retrieval against parsed JSON by using the host agent's text-search tool before any full-file loading.

ClawHub Agent Skills author: Sycamore v1.0.2 MIT-0 6 files body ≈ 1 368 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

IntegrationPDFAI and agentstype 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
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
57/100
Has gaps
Progress reporting w 2
0
When it triggers w 12
20
Inputs and preconditions w 11
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: 6. 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

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (easylink-easydoc-parse) differs from the folder (easydoc-parse)
    • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Failures and branches. 5 branches
    • 100Steps. 61 steps
    • 100Execution cost. Instruction body is 1368 tokens

    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 576: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 61 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: suspicious
    The skill is mostly a coherent EasyDoc document parser, but it includes an under-scoped base URL override that can redirect uploaded documents and API keys to any host.
    LLM: suspicious (high) · VirusTotal: · 18 Jun 2026