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web-content-grounding
Draft skill generated by self-evolve for trajectory-backed task handling.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Draft skill generated by self-evolve for trajectory-backed task handling.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use for framework-gated self-evolve workflows in AWorld: evolve skills, create trajectory-backed proposals, inspect self-evolve run artifacts, run aworld-cli optimize, or prepare verified apply decisions through aworld.self_evolve gates.
An intelligent assistant specialized in handling media files (images/audio/video). **Only for media file analysis**, does not handle document types. Media files that can be processed: - Images: .jpg, .jpeg, .png, .gif, .bmp, .webp, .svg - Audio: .mp3, .wav, .m4a, .flac, .aac, .ogg - Video: .mp4, .avi, .mov, .mkv, .webm, .flv Files that cannot be processed (please do not trigger this skill): - Documents: .pdf, .doc, .docx, .txt, .md, .rtf - Spreadsheets: .xlsx, .xls, .csv, .tsv - Presentations: .pptx, .ppt, .key - Code: .py, .js, .ts, .java, .cpp, .go, .rs - Archives: .zip, .tar, .gz, .rar, .7z - Executables: .exe, .bin, .app, .dmg - Databases: .db, .sqlite, .sql - Configuration files: .json, .xml, .yaml, .yml, .toml, .ini - Web pages: .html, .htm, .css Trigger conditions: When the user explicitly requests to analyze image/audio/video content, or when the file extension belongs to the aforementioned media types.
X (Twitter) 抓取 skill - 通过 agent-browser (CDP) 抓取指定用户推文或首页推荐流,支持关键词过滤、Tab 切换、多格式输出。使用场景:按用户/关键词抓取时间线、查看首页推荐流、生成 RSS/JSON/Markdown。
Legacy demo skill for plugin discovery tests.
Create ad-ready product video from product images, with or without character/subject images. The workflow leverages AI-powered image composition, scene understanding, and video generation. Video prompts should follow commercial shot language—visual hooks, product presence, hero shots, detail showcase, function expression, and dynamic visuals.
Create ad-ready product images (single or collage) by back-solving sub-image sizes from target output ratio, grounding scene design with media_comprehension, generating images via image_generator with strict request params and actor-count control, and pairing each deliverable with a short social tagline for 小红书/抖音.
| name | web-content-grounding |
| description | Draft skill generated by self-evolve for trajectory-backed task handling. |
| self_evolve | {"release_state":"verified","verified_run_id":"cli-237769318064","verified_candidate_id":"llm-mutator-487fc645f0d0","verified_at":"2026-07-21T07:14:33.812248Z"} |
Use trajectory evidence to solve the task and prefer grounded observations over prior assumptions. Persist large or unknown-size sources before inspecting them, then work from bounded structured extracts with source locations. After the first successful structured extraction, immediately persist its artifact and evidence manifest entry before collecting anything else. Stop redundant collection once the requested output and sufficient verified evidence exist, and return a bounded answer with a concise claim-to-evidence ledger. Record a failed tool path before switching once to a materially different bounded strategy.
Distinguish transport completion from task completion at every stage. A successful handshake, HTTP status, structured envelope, metadata record, tool-execution summary, or first data-plane response is a delivery signal, not task completion. The task is complete only when the persisted payload directly and verifiably supports every claim the user requested.
Persist large or unknown-size tool output to disk before inspecting it. Never inspect output inline from a tool response without first redirecting it to an artifact. After persisting, inspect using explicit byte-bounded excerpts or selected structured fields from the artifact file. A line-count limit such as head -N is not a byte bound; use explicit byte ranges or structured-field selectors.
Every final claim must be supported by a non-compacted artifact reference. Do not rely on metadata-only or summary digests as sole evidence for a detailed claim. If raw tool evidence was suppressed or compacted, re-acquire a bounded artifact-backed excerpt that directly contains the supporting content before including the claim in the final answer.
Persist the first usable response to disk immediately upon arrival and write its evidence manifest entry before any further analysis. However, persistence alone does not complete the task. After persisting, verify claim by claim that the payload directly supports the requested output.
Before finalizing, check each claim in the proposed answer against the persisted artifact:
If the first persisted payload does not directly support all requested claims, make exactly one materially different bounded artifact-backed attempt. Persist a manifest entry for that attempt regardless of whether it supplies the missing content. After that single fallback:
Do not issue more than one fallback attempt. Do not invent missing content. Do not encode case-specific endpoints, prompts, or identifiers.
Stop collecting only when the persisted payload directly supports the requested claims or after the single fallback has been attempted. Do not continue probing, parsing, or verifying beyond that point. Return the bounded result immediately after assembling the ledger or the insufficiency statement.
Return the final answer with a bounded evidence ledger containing:
Do not include redundant collection paths, repeated probe attempts, or metadata-only references in the ledger.
Transport completion means a response was received and persisted. Task completion means the persisted payload directly and verifiably supports every claim the user requested. These are not equivalent. A structured envelope, HTTP 200 status, metadata record, or tool-execution summary confirms transport but does not confirm task completion. Always perform claim-by-claim verification against artifact-backed evidence before finalizing. If verification fails, use the bounded fallback described above. Never add a blanket first-response-means-complete rule. Never encode case-specific behavior, endpoints, or identifiers.