SKILLEMALL.ai

AB wechat-send

Automate sending text messages in the macOS WeChat desktop app by controlling the UI via AppleScript and JXA. This is NOT a WeChat chat channel for OpenClaw — it controls the WeChat GUI on your Mac to send messages on your behalf. Use when: (1) user asks to send a WeChat message to someone, (2) notifying a WeChat contact, (3) batch messaging multiple contacts. Requires: WeChat for Mac installed, logged in, and window visible. macOS Accessibility permission granted to node. NOT for: reading or receiving WeChat messages, group chat management, file/image transfers, or using WeChat as a conversation channel with OpenClaw.

ClawHub Agent Skills author: clk1st v1.0.0 3 files · 1 script body ≈ 413 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 65/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
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 65/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 16 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 413 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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 626: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (2 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    This skill sends WeChat messages as advertised, but it needs review because crafted contact or message text could alter the AppleScript automation and it sends real messages without a confirmation step.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026