AC wechat-send
Automate sending text messages and images/files 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 (beyond sending), or using WeChat as a conversation channel with OpenClaw.
As a process C 60/100 · Has gaps — weak spots: result and completion, consistency, running it twice
How to improve
- 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 60/100
- 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
- 40Consistency. Frontmatter name (wechat-send) differs from the folder (wechat-message-sender)
- 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
- 100Execution cost. Instruction body is 493 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
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 638: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 16 items
- +4Has examples (2 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.