SKILLEMALL.ai
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AA esign

Send files for e-signature with Nota Sign. Use for requests to send an envelope, initiate signing, send a signing link, configure Nota Sign credentials, or send a local file, uploaded attachment, or URL for signature in either PROD or UAT. Handles credential setup, environment selection, file validation, signer collection, and execution through scripts/send_envelope.ts, with a temporary node@20 fallback when local Node.js is below 18.

ClawHub Agent Skills author: notasign v1.0.2 MIT-0 4 files body ≈ 1 366 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process A 89/100 · Runs to the end — weak spots: progress reporting

AnalyzerInfrastructuretype 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
A
89/100
Runs to the end
Progress reporting w 2
0
Result and completion w 14
60
When it triggers w 12
70
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "framework"
    • note frontmatter-key unknown frontmatter key "runtime"

    Process rating: all ten parameters 89/100

    • 0Progress reporting. Says nothing while it works
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 57 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 8 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1366 tokens
    • 100Running it twice. Mutating operations check current state

    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 438: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 57 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is a coherent Nota Sign e-signature helper, but it sends selected documents and signer details to Nota Sign and stores sensitive credentials locally.
    LLM: benign (high) · VirusTotal: · 29 May 2026