BC cross-platform-im-cli
Orchestrate cross-platform IM workflows across Feishu, DingTalk, and WeCom using their official CLIs. Teach AI agents how to combine lark CLI (v1.0.40+, 17 domains, 200+ commands), dws CLI (v1.0.32+, 10 domains), and wecom CLI (v0.1.8+, 7 domains) for unified messaging, task sync, notification broadcasting, and workflow automation across China's three major enterprise IM platforms. Covers: unified inbox triage, cross-platform task synchronization, multi-channel notification broadcast, platform-aware routing, and emergency communication. Triggers on: 跨平台IM, cross-platform IM, 飞书钉钉企微, Feishu DingTalk WeCom, 多平台消息, multi-platform messaging, IM工作流编排, IM workflow orchestration, 跨平台通知, cross-platform notification, 跨平台任务同步, cross-platform task sync, 企业IM自动化, enterprise IM automation, agent IM orchestration, AI跨平台工作流
Orchestrate cross-platform IM workflows across Feishu, DingTalk, and WeCom using their official CLIs.
As a process C 64/100 · Has gaps — weak spots: result and completion, failures and branches, running it twice
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 64/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 10 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2673 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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)
- +3Description length 820: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +4Structure: 21 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (13 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.