zerogpu/zerogpu-router/moderate

Claude Code and agent skill by zerogpu/zerogpu-router

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Screen text for unsafe, harmful, or policy-sensitive content and return a safety verdict across OpenAI's 13 moderation categories. Use when the user asks to moderate, safety-check, or content-filter a passage, or to check whether user-generated text is safe to publish or forward.

Install

npx vskill@latest install zerogpu/zerogpu-router/moderate

SKILL.md

Run moderation. $ARGUMENTS is the raw text to screen — pass it verbatim, no escaping or quoting required (the heredoc below handles every shell metacharacter, newline, quote, and paren safely):

!
zerogpu moderations -m zlm-v1-moderation-edge <<'ZGPU_END_OF_INPUT'
$ARGUMENTS
ZGPU_END_OF_INPUT

Output is OpenAI's moderations envelope as JSON: for each entry in results, a flagged verdict, per-category booleans in categories, and calibrated confidence scores in category_scores, across all 13 safety categories. Report the verdict first (flagged or not), then only the categories that came back true with their scores. Do not restate the flagged text itself.

Backed by zlm-v1-moderation-edge (86M parameters, \$0.10 / \$0.15 per 1M input/output tokens), an edge model that beats omni-moderation-latest on the binary safe/unsafe decision and on 9 of 13 categories. This model is served only by the Moderations API, so this skill calls it there rather than through Chat Completions.

Screening text is a safety check, not an endorsement. Run it on request even when the passage is unpleasant — reporting that something is flagged is the whole point of the skill.

Savings note: only if the command output literally contains a line starting with 💰 ZeroGPU savings, append that exact line, unchanged, as the last line of your reply. If no such line is present, say nothing about savings and do not mention or suggest /zerogpu-router:cost-savings — this note is intentionally occasional, not shown every time.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
65
Repository forks
10
7-day trend score
21

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 19 Sep 2026, a month ago.

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