Moderation

v1.0.0

Moderation workflows, thresholds, and appeals. Use when handling UGC at scale.

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for codenova58/moderation.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Moderation" (codenova58/moderation) from ClawHub.
Skill page: https://clawhub.ai/codenova58/moderation
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install moderation

ClawHub CLI

Package manager switcher

npx clawhub@latest install moderation
Security Scan
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Benign
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Benign
high confidence
Purpose & Capability
Name and description match the SKILL.md: the file contains procedural guidance for moderation workflows, thresholds, and appeals. There are no unexpected binaries, credentials, or platform integrations requested that would be inconsistent with an advisory workflow document.
Instruction Scope
Runtime instructions are purely procedural: asking clarifying questions, proposing staged workflows, checklists, and tips. The SKILL.md does not instruct the agent to read files, access environment variables, call external endpoints, or exfiltrate data — it stays within a design/advice scope.
Install Mechanism
No install spec and no code files are present. As an instruction-only skill, it does not download or install anything to disk, which minimizes execution risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. This is proportionate for a guidance-only moderation workflow; nothing sensitive is requested.
Persistence & Privilege
always is false (default) and there is no indication the skill modifies other skills or system-wide settings. The skill is user-invocable and the platform-default ability for the model to invoke skills autonomously is not by itself a concern here.
Assessment
This skill is a text-only, procedural guide for designing and operating moderation workflows — it contains no code, installs, or credential requests, so it is internally consistent with its stated purpose. Before using it in a production context, consider: (1) this is advisory only — implementing enforcement will require platform integrations and credentials that the skill does not handle; (2) moderation decisions have legal, privacy, and bias implications, so validate any thresholds or automation plans with legal, privacy, and policy stakeholders; (3) if you later link this guidance to automation (APIs, worker pools, or infra), review what credentials and third-party packages those integrations require; and (4) monitor outputs for safety and correctness before rolling out at scale.

Like a lobster shell, security has layers — review code before you run it.

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143downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Moderation

Structured guidance for content moderation (UGC policy, thresholds, appeals): confirm triggers, propose the stages below, and adapt if the user wants a lighter pass.

When to Offer This Workflow

Trigger conditions:

  • User mentions content moderation or closely related work
  • They want a structured workflow rather than ad-hoc tips
  • They are preparing a review, rollout, or stakeholder communication

Initial offer: Explain the four stages briefly and ask whether to follow this workflow or work freeform. If they decline, continue in their preferred style.

Workflow Stages

Stage 1: Clarify context & goals

Anchor on categories and severity. Ask what success looks like, constraints, and what must not break. Capture unknowns early.

Stage 2: Design or plan the approach

Translate goals into a concrete plan around human review workflows. Compare alternatives and explicit trade-offs; avoid implicit assumptions.

Stage 3: Implement, validate, and harden

Execute with verification loops tied to threshold tuning. Prefer small steps, measurable checks, and rollback points where risk is high.

Stage 4: Operate, communicate, and iterate

Close the loop with appeals and transparency: monitoring, documentation, stakeholder updates, and lessons learned for the next cycle.

Checklist Before Completion

  • Goals and constraints are explicit for moderation
  • Risks and trade-offs are stated, not hand-waved
  • Verification steps match the change’s impact (tests, canary, peer review)
  • Operational follow-through is covered (monitoring, docs, owners)

Tips for Effective Guidance

  • Be procedural: stage-by-stage, with clear exit criteria
  • Ask for missing context (environment, scale, deadlines) before prescribing
  • Prefer checklists and concrete examples over generic platitudes
  • If the user declines the workflow, switch to freeform help without lecturing

Handling Deviations

  • If the user wants to skip a stage: confirm and continue with what they need.
  • If context is missing: ask targeted questions before strong recommendations.
  • Prefer concrete examples, trade-offs, and verification steps over generic advice.

Quality Bar

  • Each recommendation should be actionable (what to do next).
  • Call out failure modes relevant to moderation (security, scale, UX, or ops).
  • Keep tone direct and respectful of the user’s time.

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