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AF feishu-automation

Advanced automation workflows for Feishu (Lark) productivity suite. Use when you need to automate document workflows, sync data across Feishu apps, generate reports, or perform batch operations across documents, wikis, bitables, and cloud storage. Triggers: "批量处理飞书文档", "自动同步飞书表格数据", "备份知识库", "生成飞书报告", "自动化飞书任务", "飞书数据迁移".

modbender/skill-library-mcp Agent Skills author: modbender MIT 13 files body ≈ 982 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Advanced automation workflows for Feishu (Lark) productivity suite.

As a process F 40/100 · Will not run — References files that are not bundled: templates/weekly_report.md, templates/meeting_notes.md, templates/project_status.md

ProcedureData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
84
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: templates/weekly_report.md, templates/meeting_notes.md, templates/project_status.md
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. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration exfil-webhook-url assets/config/sample_config.yaml:146
    Webhook / callback URL commonly used for exfiltration (verify the destination) (test fixture / example file; quoted — discussed, not commanded)
    webhook_url: "https://hooks.slack.com/services/xxx"
    fixturequoted

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: templates/weekly_report.md
  • warning missing-ref reference to a missing file: templates/meeting_notes.md
  • warning missing-ref reference to a missing file: templates/project_status.md

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: templates/weekly_report.md, templates/meeting_notes.md, templates/project_status.md
  • 0Tools and files. 3 referenced file(s) missing: templates/weekly_report.md, templates/meeting_notes.md, templates/project_status.md
  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 49 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 982 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

  • +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 5 example trigger phrases
  • +3Description length 323: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 49 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.