公开文案发布检查清单 (public-copy-release-guard) 是做什么的？
可移植的公开文案发布检查清单
用于在发布前对公开文案进行把关。适用于需要检查说明文字、帖子、清单、话题、标题或发布文案是否存在以下情况的场景：
- 通用AI措辞
- 泄露的内部标签
- 禁止的实验或工具名称
- 平台话题允许列表
- 行动号召垃圾信息 (CTA spam)
- 不支持的过度声明
一个可移植的检查清单，用于在发布前对公开文案进行把关。适用于需要检查说明文字、帖子、清单、话题、标题或发布文案是否存在通用AI措辞、泄露的内部标签、禁止的实验或工具名称、平台话题允许列表、CTA垃圾信息以及不支持的过度声明等情况的场景。
该技能提供了一个结构化的、可移植的检查清单，帮助开发者在发布前对面向用户的公开文案进行最终把关。它旨在防止因AI生成内容中可能出现的泛泛措辞、内部项目代号泄露、未授权的实验名称、违反平台话题限制、生硬的行动号召以及夸大其词的声明而导致的发布风险。该技能Codex）特别适用于在CI/CD流程中或作为发布前的人工核对步骤，支持在命令行界面、CI管道以及AI辅助编码环境（如Claude Code、Cursor或中直接应用。其工作原理是通过解析用户提供的待发布文本（如标题、说明、帖子内容或清单），并对照预定义的规则集进行逐项检查，最终生成一份报告，标记出所有潜在的风险项。通过预先集成这些检查规则，该技能能够显著减少人工审查的工作量，并确保发布内容的一致性和合规性。
npx skills add https://github.com/ChronoAIProject/nyx-skills/tree/main/public-copy-release-guard可移植的公开文案发布检查清单
用于在发布前对公开文案进行把关。适用于需要检查说明文字、帖子、清单、话题、标题或发布文案是否存在以下情况的场景：
This repo contains 9 individual skills — each has its own dedicated page.
Boundary test for inbound Lark attachments — the user sends an image or file alongside this command and the bot reports exactly what it can observe on the chat path (text only, attachment refs, or nothing), without guessing. Detects when the platform wires chat-path attachment visibility so dependent skills can be upgraded.
Verify the read-image (vision) path end to end — the user sends an image plus the trigger, a workflow vision step describes it, and the run output proves the model actually saw the image (a real description, not "no image received"). Run it before any image-dependent workflow (petty-cash receipt, invoice OCR).
Use when answering mathematical, conceptual, philosophical, or metaphysical questions through repository-first scientific reasoning, a clause-complete formal bridge, retained exact Lean specializations, reusable library growth, and an ordinary conversational answer; the formal work stays internal and is shown only when the user asks for it.
Send, reply to, react to, read, and find Lark messages and chats through the bot's NyxID-brokered im/v1 APIs — proactively post to a chat or DM, thread-reply, add or remove emoji reactions, read a single message or pull a chat's history over a time window, search or list the chats the bot is in, and download an image/file from a message. Handles the "content must be a JSON string" footgun and receive_id_type selection, and doubles as the im-scope probe — on a scope 403 it reports the exact missing permission instead of failing silently.
Method for producing short vertical videos from ChatGPT image generation through a fixed browser tab, local TTS narration, timed subtitle burn-in, cover exports, and a manifest. Use when an operator needs a reproducible image-to-short workflow with pinned session consistency, per-beat visual prompts, 1080x1920 safe-area rules, local ffmpeg/PIL assembly, and private access kept outside the skill.
Verify-first promotion intelligence for ANY repo or org. Pulls live GitHub state, runs sshx multi-perspective consensus over it, and returns an evidence-backed board of what is genuinely promotable, how items connect, and what is unverifiable. Use when an agent or operator asks "what's worth promoting / what connects / what's real" for a target repo or org.
The manual an AI agent loads to operate Ornn — the model-agnostic skill-lifecycle API (an npm-style registry + CLI for agent skills) — via the NyxID CLI (`nyxid proxy request ornn-api …`). Load and follow this skill WHENEVER the user asks to do anything with Ornn skills or skillsets. Skills: search Ornn or find a skill, pull or install a skill (or a specific version), run a skill, build and upload a skill, publish a new version, make a skill public / private / shared, run or read a security audit, deprecate or delete a version, diff two versions, check usage analytics, bind a skill to a NyxID service, link a skill to GitHub or sync from source, manage npm-style dist-tags, or transfer skill ownership. Skillsets — curated multi-skill bundles with a required master prompt: bundle skills into a set, create or publish a skillset, resolve its closure in one call, export a skillset as a Claude Code marketplace plugin, transfer skillset ownership, or diagnose why a shared skillset isn't visible (visibility derives fr
Runs the petty-cash approval flow end to end yourself — collect Lark DM/sheet/image context, extract receipt details, build the exact approval body, then SUBMIT the Lark approval instance.
Severity-weighted BLOCK, WARN, OK reviewer method for technical and research posts. Use when reviewing X threads, announcements, captions, or launch copy for hook strength, thread arc, generic AI vocabulary, source fidelity, claim support, numeric-claim verification, and thread format before recommending publish.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.