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AC youtube-comment-moderator

AI-powered YouTube comment moderation. Fetches comments, classifies them (spam, question, praise, hate, neutral, constructive), drafts replies, and deletes spam. Works with any YouTube channel via OAuth. Use when moderating YouTube comments, setting up auto-replies, analyzing comment sentiment, managing spam, or building a comment moderation pipeline.

ClawHub Agent Skills author: Dhruv Kar v1.0.1 MIT-0 15 files body ≈ 1 622 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationYouTubeMedia and videoInfrastructuretype 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
92/100
safety, quality, tests
Safety 60%
95
Quality 40%
88
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

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
    • low Exfiltration read-dotenv SKILL.md:38
      Reads a .env file
      source .env
    • low Exfiltration read-dotenv SKILL.md:65
      Reads a .env file
      source .env && python3 scripts/setup.py --auth-url
    • low Exfiltration read-dotenv SKILL.md:76
      Reads a .env file
      source .env && python3 scripts/setup.py --exchange-code "http://127.0.0.1:8976/callback?code=<CODE>"
    • low Exfiltration read-dotenv SKILL.md:101
      Reads a .env file
      source .env && python3 scripts/moderate.py --all-videos --dry-run
    • low Exfiltration read-dotenv SKILL.md:110
      Reads a .env file
      source .env && python3 scripts/moderate.py --all-videos

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "env"

    Process rating: all ten parameters 52/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 14 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 65Failures and branches. 3 branches
    • 100Steps. 21 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1622 tokens
    • 100Progress reporting. Reports progress

    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
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +3Description length 353: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 5 scripts are documented

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

    External checks

    ClawHub: suspicious
    This is a coherent YouTube moderation skill, but it needs Review because it can post and delete channel comments using locally stored OAuth credentials and does not fully disclose or constrain that power.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026