SKILLEMALL.ai

BF marketing-automation-cli

Automate marketing workflows across Feishu, DingTalk, and WeCom using their official CLIs. Teach AI agents how to orchestrate content creation, multi-channel distribution, campaign tracking, lead nurturing, and performance reporting across China's enterprise IM platforms. Covers: content creation pipeline (Feishu Doc→Slide→Mail), multi-channel campaign launch (Feishu+DingTalk+WeCom), lead tracking (WeCom SmartSheet→Feishu Base), sales team DING alerts, and marketing performance dashboard (Sheet→Base→Doc→Slide). Triggers on: 营销自动化CLI, marketing automation CLI, 多平台营销, multi-channel marketing, 飞书营销工作流, feishu marketing workflow, 钉钉营销通知, dingtalk marketing DING, 企微客户营销, wecom customer marketing, 营销内容分发, marketing content distribution, 营销数据看板, marketing dashboard, 销售线索追踪, lead tracking CLI, agent marketing orchestration, AI营销自动化

ClawHub Agent Skills author: lm203688 v1.0.0 MIT-0 2 files body ≈ 2 720 tokens Open the sourceclawhub.ai analyzed 28 h ago

Automate marketing workflows across Feishu, DingTalk, and WeCom using their official CLIs.

As a process F 46/100 · Will not run — References files that are not bundled: doc_link, base_link, purchase_link

ProcedureData and analyticsMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
52
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: doc_link, base_link, purchase_link
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: doc_link
  • warning missing-ref reference to a missing file: base_link
  • warning missing-ref reference to a missing file: purchase_link
  • warning missing-ref reference to a missing file: contact_link
  • warning missing-ref reference to a missing file: link

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: doc_link, base_link, purchase_link
  • 0Tools and files. 5 referenced file(s) missing: doc_link, base_link, purchase_link
  • 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. 5 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
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2720 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 835: 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: 15 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 52.

External checks

ClawHub: clean
This markdown-only skill provides disclosed marketing workflow templates for official business chat CLIs, but users must enforce consent and approval before sending customer messages or syncing lead data.
LLM: benign (high) · VirusTotal: · 28 May 2026