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CD douyin-daily-report

抖音每日自动热榜日报生成与邮件推送。当用户说"抖音日报"、"发送邮件报告"、"自动分析抖音"、"定时推送抖音"或需要"生成抖音视频分析报告"时使用此技能。自动获取热榜 TOP15 → OpenClaw LLM 分析 → Word 文档输出 → 邮件定时发送至指定收件人。本技能包含完整依赖（douyin-video-analysis、douyin-hot-trend、douyin-mcp-server），安装即用。

Not recommendedcritical or high security findings
ClawHub Agent Skills author: link-1069 v1.0.2 MIT-0 46 files · 2 scripts body ≈ 575 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerWordAI and agentsInfrastructureData 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
C
71/100
safety, quality, tests
Safety 60%
68
Quality 40%
76
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 7

  • high Dangerous commands cmd-persistence scripts/setup_douyin_daily_report.sh:69
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null | grep -v "douyin_daily_digest"; echo "$CRON_CMD") | crontab -
Medium and low: 6
  • medium Dangerous commands cmd-persistence references/DEPLOY.md:83
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (detector / deny-list definition)
    crontab -l | grep -v "douyin_daily_digest" | crontab -
    detector
  • medium Dangerous commands cmd-persistence SKILL.md:106
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (detector / deny-list definition)
    crontab -l | grep -v "douyin_daily_digest" | crontab -
    detector
  • low Dangerous commands cmd-pipe-to-shell-known-host dependencies/douyin-mcp-server/README.md:201
    Pipe-to-shell installer from a well-known host (still executes remote code) (documentation table row)
    | uv | Python 包管理 | `curl -LsSf https://astral.sh/uv/install.sh \| sh` |
    table
  • low Dangerous commands cmd-cron-mention references/DEPLOY.md:83
    Mentions editing / listing crontab
    crontab -l | grep -v "douyin_daily_digest" | crontab -
  • low Dangerous commands cmd-cron-mention scripts/setup_douyin_daily_report.sh:69
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null | grep -v "douyin_daily_digest"; echo "$CRON_CMD") | crontab -
  • low Dangerous commands cmd-cron-mention SKILL.md:106
    Mentions editing / listing crontab
    crontab -l | grep -v "douyin_daily_digest" | crontab -

Files scanned: 15. 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")

Process rating: all ten parameters 41/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (douyin-daily-report) differs from the folder (douyin-analyse-batch)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 8 steps
  • 100Execution cost. Instruction body is 575 tokens
  • 100Running it twice. No mutating operations

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
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 208: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (7 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This skill should be reviewed because it sets up recurring email automation but also contains hard-coded recipients and bundled download, proxy, Telegram, MCP, and transcription features that are broader than the advertised daily report.
LLM: suspicious (high) · VirusTotal: · 29 May 2026