AC wecom-openclaw
Integrate WeChat Work (Enterprise WeChat) with OpenClaw for intelligent messaging. Enables receiving messages from WeChat Work, processing them with Claude AI, and sending async replies. Handles msg_signature verification, AES-256-CBC encryption/decryption, and secure token-based authentication. Use when setting up bidirectional WeChat Work ↔ OpenClaw communication.
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 4
✓ No critical or high findings
Medium and low: 4
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low Exfiltration
exfil-webhook-urlreferences/setup-guide.md:20Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)2. **URL**: Your public endpoint (e.g., `https://your-tunnel.trycloudflare.com/webhook`)
placeholder -
low Exfiltration
exfil-secret-in-urlscripts/index.js:192Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)`https://qyapi.weixin.qq.com/cgi-bin/message/send?access_token=…
placeholder
A further 2 matches are quotations in this security skill's documentation and are not counted as 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 56/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 13 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1187 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)
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 368: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 15 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.