SKILLEMALL.ai

BF doubao-opencli

豆包(Doubao)AI 助手 OpenCLI 技能包。通过 opencli browser 桥接复用 Edge 浏览器登录态, 提供豆包对话、AI 播客生成(文字/网页链接/PDF 三种输入方式,自动裁剪广告)、 PPT 生成、图像生成(文生图)、会议摘要、批量提问、对话备份等功能。 使用场景:(1) 需要通过 CLI 或脚本自动化操作豆包时;(2) 需要批量生成播客/图片/PPT时; (3) 需要备份豆包对话记录时。前置条件:Edge 已登录 https://www.doubao.com/chat,opencli 已安装。

ClawHub Agent Skills author: 张翀 v1.0.0 MIT-0 6 files · 4 scripts body ≈ 1 979 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: ../../knowledge/doubao-podcast-bug-fix.md

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: ../../knowledge/doubao-podcast-bug-fix.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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: 6. 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: ../../knowledge/doubao-podcast-bug-fix.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: ../../knowledge/doubao-podcast-bug-fix.md
  • 0Tools and files. 1 referenced file(s) missing: ../../knowledge/doubao-podcast-bug-fix.md
  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 100Steps. 72 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1979 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -213 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 266: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 72 items
  • +4Has examples (7 code blocks)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This is a disclosed Doubao automation skill, but it controls a logged-in browser session and has an unsafe PPT input path plus sensitive local logging/backups that users should review carefully.
LLM: suspicious (high) · VirusTotal: · 29 May 2026