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BC ai-daily-news

Automated AI daily news collection and reporting system. Collects AI papers from arXiv, Hugging Face, AI products from Product Hunt, YouTube videos from AI creators, and RSS feeds like PaperWeekly. Generates structured daily reports and pushes to Feishu. Use when: (1) Setting up automated AI news collection, (2) Generating daily AI news reports, (3) Fetching latest arXiv papers, Hugging Face papers, Product Hunt AI products, YouTube AI videos, (4) Configuring news sources and scheduling, (5) Troubleshooting news collection issues.

ClawHub Agent Skills author: JosephHou_BY v1.0.0 MIT-0 14 files body ≈ 750 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

GeneratorYouTubeMedia and videoData 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
B
83/100
safety, quality, tests
Safety 60%
79
Quality 40%
88
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

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

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Dangerous commands cmd-persistence INSTALL.md:50
      Persistence mechanism (cron / launchd / scheduled task / autorun registry) (documentation of a security skill)
      schtasks /create /tn "AI-News-Collect" /tr "python scripts/collect_ai_news.py" /sc daily /st 06:00
      security skill
    • medium Dangerous commands cmd-persistence INSTALL.md:51
      Persistence mechanism (cron / launchd / scheduled task / autorun registry) (documentation of a security skill)
      schtasks /create /tn "AI-News-Push" /tr "python scripts/push_to_feishu.py" /sc daily /st 08:00
      security skill
    • medium Dangerous commands cmd-persistence references/DEVELOPMENT.md:151
      Persistence mechanism (cron / launchd / scheduled task / autorun registry) (documentation of a security skill)
      schtasks /create /tn "AI News Collect" /tr "python scripts/collect_ai_news.py" /sc daily /st 06:00
      security skill
    • medium Dangerous commands cmd-persistence references/DEVELOPMENT.md:152
      Persistence mechanism (cron / launchd / scheduled task / autorun registry) (documentation of a security skill)
      schtasks /create /tn "AI News Push" /tr "python scripts/push_to_feishu.py" /sc daily /st 08:00
      security skill
    • low Dangerous commands cmd-cron-mention references/DEVELOPMENT.md:159
      Mentions editing / listing crontab (documentation of a security skill)
      crontab -e
      security skill

    Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 57/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 19 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 750 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)
    • -31 of 8 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 537: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 19 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    The skill mostly matches its AI-news reporting purpose, but it should be reviewed because it can silently install a package and includes an overbroad browser command helper.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026