AD smart-message-plus
Cross-platform IM messaging CLI for DingTalk, Feishu (Lark) enterprise apps and WeCom (WeChat Work) group robot webhooks. Send P2P / group messages with text, Markdown, images, files, @mentions, recall, message templates, contact aliases, multi-account management, department broadcast, and a configurable safety gate with admin approval codes. Use when the user asks to send messages via DingTalk / Feishu / WeCom ("用钉钉/飞书/企业微信发消息", "smart-message 发给 XX", "跨平台发消息"). Message content must be provided by the user - AI must never draft it autonomously.
Cross-platform IM messaging CLI for DingTalk, Feishu (Lark) enterprise apps and WeCom (WeChat Work) group robot webhooks.
As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
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: 24. 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 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 7 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 28 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1843 tokens
- low 10 top-level sections: this looks like several domains in one skill
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 551: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (3 of 5)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.