Generate a weekly AI report in Markdown, including official announcements, industry news, GitHub-oriented open-source signals (via configured feeds), a capped paper ratio, and **optionally** OpenClaw top skills as **auxiliary** context.
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# AI News Weekly Agent
Generate a weekly AI report in Markdown, including official announcements, industry news, GitHub-oriented open-source signals (via configured feeds), a capped paper ratio, and **optionally** OpenClaw top skills as **auxiliary** context.
## When to use
- User asks for weekly AI digest/report
- User wants GitHub / open-source release or repo activity summarized together with general AI news
- User wants OpenClaw skills ranking **in addition** to the above (not as the sole “source of truth” for tooling facts)
## Weekly layout & synthesis (newsletter-style)
Output follows a fixed Markdown template generated by the pipeline:
1. **小结**:3–4 句总览(本周主线、重要变化)
2. **正文**:按 `sources.json` 分类的逐条资讯(含链接、日期、LLM 中文解读)
3. **OpenClaw 技能热榜**(仅当启用):出现在**正文条目之后**,标题标明「社区热度 · 辅助参考」
4. **OpenClaw 链接** / **信源与原文链接** / **生成信息**
宿主 Agent 在编排用户意图时,应把「周刊」理解为:**先事实与可核验链接,再解读与价值**;不要跳过信源配置去编造条目。
## Research discipline (deep-research–inspired)
These rules apply to how the **hosting agent** describes tasks and how the pipeline uses LLM enrichment (see `project/prompts/digest_llm_prompts.py`):
- Prefer **verifiable** items: official blogs, RSS, and **GitHub** Release / repo feeds present in `sources.json`
- Treat **OpenClaw 热榜** as a **popularity snapshot**, not a substitute for Release or repo facts
- When the user gives `intent_text`, keep queries concrete (repos, products, time window) so GNews / Playwright supplements stay on-topic
## GitHub vs OpenClaw(主辅关系)
| 角色 | 含义 |
|------|------|
| **主(GitHub / 仓库事实)** | `github.com` 相关条目(如 Release、仓库公告、`*.atom` commits):叙事与小结中的「开源/工具链」应**优先**依据这些可点击事实。 |
| **辅(OpenClaw)** | `topclawhubskills.com` 榜单:用于**对照**社区在用什么技能;**不得**用排名替代 GitHub/官方发布中的版本与变更事实。 |
**宿主说明**:若用户同时关心「GitHub 动态」和「技能榜」,仍走默认采集 + 可选 OpenClaw;小结里应先概括仓库/官方侧事实,再用一两句提及热榜与主线的呼应(具体文风由 enrich 提示约束)。
## Skill routing (project agent)
- **Default route**: run the news digest pipeline only (`sources.json` + site crawlers + optional GNews as configured).
- **OpenClaw route**: enable when user intent explicitly mentions keywords such as `openclaw`, `topclaw`, `技能榜`, `榜单`, `skill`, or when the user **clearly** wants leaderboard data **alongside** the weekly news (not instead of it).
- When OpenClaw is active, the pipeline fetches the leaderboard and injects it **after** the main news body; LLM enrichment receives instructions that the leaderboard is **auxiliary**.
- If the user does **not** want OpenClaw ranking, do not fetch or render the OpenClaw section.
**GitHub-oriented intent** (e.g. `github`, `release`, `开源`, `仓库`): prefer emphasizing configured GitHub feeds in `sources.json`; do **not** auto-enable OpenClaw unless the user also asks for 榜单 / OpenClaw.
## Command
```bash
python3 run_daily_digest.py --use-llm --llm-provider auto --window-hours 168 --max-paper-ratio 0.2 --min-official-items 3
```
## Required environment variables
- Ark mode:
- `ARK_API_KEY`
- `ARK_MODEL`
- `ARK_ENDPOINT_ID` (recommended, `ep-xxx`)
- OpenAI-compatible mode:
- `OPENAI_API_KEY`
- `OPENAI_BASE_URL` (if ends with `/v1`, script auto-expands to `/chat/completions`)
- `OPENAI_MODEL` (optional, but recommended)
Notes:
- In OpenClaw, these variables may be injected by the runtime.
- If not injected, users must provide them manually in runtime env or local `.env`.
- `--llm-provider auto` prefers Ark when Ark vars exist; otherwise uses OpenAI-compatible mode.
- Default security policy requires HTTPS endpoint and allowlisted LLM hosts.
## Optional environment variables
- `DIGEST_WEBHOOK_URL`: webhook for send notifications when using `--send`
## Environment template
Use runtime env injection in OpenClaw, or copy this template to local `.env`:
```env
ARK_API_KEY=
ARK_MODEL=Doubao-Seed-1.6-lite
ARK_ENDPOINT_ID=
OPENAI_API_KEY=
OPENAI_BASE_URL=
OPENAI_MODEL=
DIGEST_WEBHOOK_URL=
```
## External network access
This skill may access these external endpoints during execution:
- `https://ark.cn-beijing.volces.com` (Ark LLM API)
- `OPENAI_BASE_URL` target (OpenAI-compatible provider endpoint)
- `https://topclawhubskills.com` (OpenClaw leaderboard snapshot, when enabled)
- RSS/news URLs listed in `sources.json` (including GitHub `*.atom` feeds where configured)
- Optional webhook hosts for notification: Feishu/Lark or DingTalk
## Security and data handling
- No API keys are hardcoded in repository files.
- `.env` is not tracked and should never be committed.
- Only report-generation inputs are sent to LLM when `--use-llm` is enabled.
- Users should review and trust the configured endpoints before running.
- SSL verification is enabled by default. Insecure SSL fallback requires explicit `--allow-insecure-ssl`.
- Custom LLM endpoint hosts are blocked by default unless `--allow-custom-llm-endpoint` is provided.
- Optional extension: set `LLM_ALLOWED_HOSTS` (comma-separated) to add trusted hosts.
- Webhook only supports HTTPS and official Feishu/Lark/DingTalk domains.
## Publishing note
- For ClawHub publish, confirm the MIT-0 license checkbox in the web UI.