openclaw-skills/reader-digest-flow/references/flow.md

# Reader Digest Flow Reference

## Purpose

Concrete operational checklist for the `reader-digest-flow` skill.

## Default Operating Model

### Layering

- `reader` layer:
  - FreshRSS pull
  - extraction
  - summary/filter/payload generation
  - selected-article summary capability
- OpenClaw / skill layer:
  - public digest generation
  - internal review digest generation
  - Hugo publishing
  - chat reporting
  - user confirmation handling
  - calling selected-article summaries
  - IMA upload orchestration
- Hugo layer:
  - public digest browsing and archive only
- IMA layer:
  - long-term storage for selected article notes only

### Hard rules

- Do not upload the full digest to IMA.
- Upload only explicitly user-selected articles to IMA.
- Do not generate a digest without a real payload.
- Generate two views from the same payload: a public digest for Hugo and an internal review digest for chat/operator workflow.
- Do not expose internal review states or operator-facing labels in the public digest.
- Do not re-fetch original URLs for selected summaries; use existing extracted text.
- Prefer `ARTICLE_SUMMARY_*` for selected article summarization, with fallback to main `LLM_*` only if needed.
- Actively report progress after each completed phase.

## Step-by-step checklist

### 1. Run reader pipeline

Project root:

```bash
/home/ubuntu/zhu/github/reader
```

Default behavior for a normal production run:

- run with mark-read enabled
- only skip mark-read if the user explicitly says the run is debug, test, or validation

Typical artifacts to inspect after a successful run:

```text
outputs/freshrss/rerun/<run-id>/candidates/openclaw-delivery-payload.json
outputs/freshrss/rerun/<run-id>/candidates/digest-brief.json
outputs/freshrss/rerun/<run-id>/run-report.json
outputs/freshrss/rerun/<run-id>/extracted/item-XX.extracted.json
```

Notes:

- `digest-brief.json` is the preferred input for **public digest** generation.
- It is a lighter public-only view and currently includes only `keep` candidates.
- If `digest-brief.json` is missing, fall back to `openclaw-delivery-payload.json`.

### 2. Generate digest markdown

Generate two output views from the same run, preferably in one model call:

1. a **public digest** for Hugo / public readers
2. an **internal review digest** for chat / operator workflow

Input preference:

- **public digest**: prefer `candidates/digest-brief.json`
- **internal review digest**: use `candidates/openclaw-delivery-payload.json`

Recommended generation pattern:

- Pass the public brief and the full payload as two explicitly labeled input blocks.
- Ask the model to return both outputs in one response.
- Prefer a structured response shape (for example JSON with `public_digest_markdown` and `internal_review_digest_markdown`) when post-processing is needed.

Write only the public digest into Hugo here:

```text
/home/ubuntu/zhu/apps/hugo-site/content/daily/YYYY-MM-DD/index.md
```

Recommended public-digest front matter:

```toml
+++
title = "AI 日报 · YYYY-MM-DD"
date = YYYY-MM-DDTHH:MM:SS+08:00
summary = "当日日报摘要"
+++
```

Recommended **public digest** structure:

- `今日概览`
- `今日重点`
- `趋势观察`
- `延伸阅读`
- `信息来源`

Public digest constraints:

- Use only the public brief view when present.
- Keep public wording free of internal workflow language.
- Optimize for concise public readability with solid information density.
- For each `今日重点` item, add one short editor-style sentence explaining why the item matters in today's digest (for example: `这篇内容更值得关注的原因在于……`).

Recommended **internal review digest** structure:

- `今日候选概况`
- `已入选重点`
- `待你确认`
- `建议沉淀到 IMA`
- `原始候选清单`

Internal review digest constraints:

- Do not show `rank` values.
- Replace machine states with Chinese labels such as `已入选` / `待确认` / `暂不纳入`.
- For `已入选重点`, include a fuller summary plus a short judgment paragraph.
- For `待你确认`, include a fuller summary, reason, and recommendation.
- Keep it readable as an operator review draft, not a raw payload dump.

### 3. Publish Hugo

Publish only the public digest to Hugo.

Expected verification targets:

- homepage works
- `/daily/` works
- `/daily/YYYY-MM-DD/` works

### 4. Report digest in chat

Provide the internal review digest in chat and ask which articles should be retained.

### 5. Generate selected article summaries

Only do this after the user explicitly confirms which articles to retain.

Preferred MCP tool:

- `generate_article_summaries`

Expected inputs:

- `extracted_path`
- `selected_ids`
- optional `output_dir`
- optional article-summary LLM overrides

Recommended output layout:

- `outputs/freshrss/single_summaries/YYYY-MM-DD/`

CLI fallback:

```bash
python scripts/run_article_summaries.py \
  --extracted outputs/freshrss/rerun/<run-id>/extracted/item-01.extracted.json \
  --ids <item_id_1> <item_id_2> \
  --output-dir outputs/freshrss/single_summaries/YYYY-MM-DD
```

### 6. Upload selected summaries to IMA

Upload only the generated markdown files for the selected articles.

Default target knowledge base:

- `daily`
- Read `IMA_DAILY_KNOWLEDGE_BASE_ID` / `IMA_DAILY_KNOWLEDGE_BASE_NAME` from reader `.env`
- Verify the configured target at runtime before upload
- If the configured target is unavailable, resolve by name `daily`; if still absent, create `daily`

## Hard rules recap

- Never generate a digest from placeholder or example data when a real run is expected.
- For normal runs, mark processed FreshRSS items as read unless the user explicitly requested a debug/test/validation run.
- Public digest goes to Hugo; internal review digest goes to chat; neither full digest goes to IMA.
- Only explicitly user-selected articles go to IMA.
- Selected article summaries use extracted text, not live refetch.
- Prefer `ARTICLE_SUMMARY_*` for selected article summarization.