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AC easylink-easydoc-mask

Use when tasks need EasyLink masking API to redact sensitive fields from medical records (EMR) or other documents. Trigger for requests about POST /v1/easydoc/mask and GET /v1/easydoc/mask/{task_id}, selecting mode (emr-mask), customizing masked fields via json_schema, downloading masked output files, and handling async polling until SUCCESS or FAILED.

ClawHub Agent Skills author: Sycamore v1.0.0 MIT-0 5 files body ≈ 976 tokens Open the sourceclawhub.ai↗ analyzed 33 h ago

Trigger for requests about POST /v1/easydoc/mask and GET /v1/easydoc/mask/{taskid}, selecting mode (emr-mask), customizing masked fields via jsonschema…

As a process C 56/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

IntegrationSoftware developmentData and analyticstype 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
56/100
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: 5. 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 56/100

    • 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. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (easylink-easydoc-mask) differs from the folder (easydoc-mask)
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 100Steps. 33 steps
    • 100Execution cost. Instruction body is 976 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 354: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 33 items
    • +3Output format is stated explicitly
    • +4Has examples (6 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
    This skill appears purpose-built for medical-document masking, but it sends sensitive records to an external EasyLink service without enough clear warning or consent guidance.
    LLM: suspicious (medium) · VirusTotal: · 18 Jun 2026