feat: 早报系统重构与功能增强

- 新增常驻调度器 daily/scheduler.py + run-scheduler.ps1(定时生成/推送)
- 新增 daily/bridge_manager.py:Windows 兼容的 Cursor SDK 桥接
- 新增 skills/daily-featured-pick 首推 Skill 与叙事轴/去重逻辑
- 新闻抓取窗口、GitHub 搜索、企微 delta 模式等多项改进
- 补充设计文档与 superpowers 计划/规范
- 新增对应测试(scheduler、featured_pick、github_search、news_fetch_window 等)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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# 企微早报多样性与去重 Implementation Plan
> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
**Goal:** 实现企微早报硬去重多样性:五榜周去重(深池补满)、首推与昨日相同则改推(月去重)、叙事轴代码互斥、取消新闻「放宽窗口」凑数;且 `movement_baseline``wecom_shown_keys` 严格分离。
**Architecture:**`daily generate` 管线加代码选择器:`board_select` 为 full/delta 唯一列表主人;周历史只读写 `data.wecom_shown_keys`post-render`movement_baseline` 仍为 raw Top compare`featured_resolve` 先定人再 research`pick_narrative_axis` 代码选轴注入 Agent Step1新闻关 backfill + 剥「放宽」前缀。
**Tech Stack:** Python 3.13+、现有 `unittest`/`pytest``daily/delta.py` / `format_wecom.py` / `featured_pick.py` / `news/fetch.py``output/*.data.json`
**Spec:** `docs/superpowers/specs/2026-07-14-wecom-diversity-dedup-design.md`Status: APPROVED
## Global Constraints
- `movement_baseline` **禁止**被展示历史覆写;周去重只读 `wecom_shown_keys`
- full/delta **唯一列表主人** = `board_select`delta 的 pad 共用同一套 shown 历史)
- `DAILY_BOARD_DEDUP_DAYS` 默认 `7`;与 pad lookback 对齐且数据源同一
- `DAILY_FEATURED_DEDUP_DAYS` 默认 `30`
- `DAILY_NARRATIVE_AXIS_DAYS` 默认 `3`;轴枚举固定 7 个(见 Task 5
- `DAILY_NEWS_BACKFILL` 默认 `0`(禁止旧闻凑数)
- research 补新闻年龄上限 = `DAILY_AI_NEWS_HOURS`(不得变相 48h 放宽)
- 不做:语义「同一类」、同日 Trending↔Hot 互斥、`FEATURED_FORCE`、关键短语硬匹配
- Commit 信息正文用中文(若本任务含 Commit 步)
---
## File Structure
| 文件 | 职责 |
|------|------|
| `daily/config.py` | 新 env`board_dedup_days``board_pool_size``featured_dedup_days``theme_ban_days``narrative_axis_days``news_backfill_enabled` |
| `daily/board_history.py` | **新建**`load_recent_shown_keys` / `extract_shown_keys` / `attach_wecom_shown_keys`(读写 `data.wecom_shown_keys` |
| `daily/board_select.py` | **新建**`board_select(...)` 周过滤+深池 |
| `daily/delta.py` | `load_recent_board_keys` 改为委托 `load_recent_shown_keys`(保留函数名兼容);**不**改 `build_movement_baseline` |
| `daily/format_wecom.py` | pad 使用 shown keys可选返回最终展示 items 供写回 |
| `daily/featured_pick.py` | `featured_identity_key``featured_resolve`、先定人再 research |
| `daily/narrative_axis.py` | **新建**`NARRATIVE_AXES``pick_narrative_axis``load_recent_axes` |
| `daily/news/fetch.py` | `_apply_pushed_dedup_with_backfill` 尊重 `news_backfill_enabled()`;默认不塞回 |
| `daily/news/research.py` + `skills/daily-ai-news-research/SKILL.md` | 禁放宽文案;补入不超时窗 |
| `daily/text_utils.py``daily/news/sanitize.py` | `strip_news_relax_prefix(desc)` |
| `daily/agent_workflow.py` | Step1 注入 axis + 近 7 日 theme 软禁;强制覆写冲突轴 |
| `daily/generate.py` | 串联select → featured → editorial → render → persist shown/key/axis |
| `daily/report_data.py` | data.json 可携 `wecom_shown_keys` / `featured_pick_key` / `narrative_axis`(写回可由 generate 合并) |
| `.env.example` | 文档化新变量 |
| `skills/daily-agent/SKILL.md` | `narrative_axis` 必填且等于输入指定轴 |
| `tests/test_board_select.py` | **新建** |
| `tests/test_board_history.py` | **新建** |
| `tests/test_featured_resolve.py` | **新建** |
| `tests/test_narrative_axis.py` | **新建** |
| `tests/test_news_relax.py` | **新建** |
| `tests/test_wecom_delta.py` | 回归pad 不读 movement 当展示史 |
---
### Task 1: Config + shown-keys 历史层
**Files:**
- Modify: `daily/config.py`(文件末尾追加)
- Create: `daily/board_history.py`
- Modify: `daily/delta.py``load_recent_board_keys` 改委托)
- Test: `tests/test_board_history.py`
- Modify: `.env.example`
**Interfaces:**
- Consumes: `OUTPUT_DIR`、现有 `delta.skill_id` / repo key 约定
- Produces:
- `board_dedup_days() -> int`(默认 7
- `board_pool_size() -> int`(默认 `max(50, env WECOM_SKILL_POOL)`
- `featured_dedup_days() -> int`(默认 30
- `theme_ban_days() -> int`(默认 7
- `narrative_axis_days() -> int`(默认 3
- `news_backfill_enabled() -> bool`(默认 Falseenv `DAILY_NEWS_BACKFILL`
- `extract_shown_keys(board: str, items: list[dict]) -> list[str]`
- `load_recent_shown_keys(date_str: str, *, lookback_days: int | None = None) -> dict[str, set[str]]`
- `merge_wecom_shown_into_data(data: dict, shown: dict[str, list[str]]) -> dict`
- [ ] **Step 1: Write the failing test**
```python
# tests/test_board_history.py
from __future__ import annotations
import json
import os
import tempfile
import unittest
from pathlib import Path
from unittest.mock import patch
from daily.board_history import extract_shown_keys, load_recent_shown_keys, merge_wecom_shown_into_data
from daily.config import board_dedup_days, news_backfill_enabled
class ConfigDiversityTests(unittest.TestCase):
def test_board_dedup_days_default(self):
with patch.dict(os.environ, {}, clear=True):
self.assertEqual(board_dedup_days(), 7)
def test_news_backfill_default_off(self):
with patch.dict(os.environ, {}, clear=True):
self.assertFalse(news_backfill_enabled())
class ShownKeysTests(unittest.TestCase):
def test_extract_github_repo_keys(self):
items = [{"repo": "a/b"}, {"repo": "c/d"}]
self.assertEqual(extract_shown_keys("github_trending", items), ["a/b", "c/d"])
def test_load_recent_reads_wecom_shown_not_baseline(self):
with tempfile.TemporaryDirectory() as tmp:
out = Path(tmp)
# 前日shown 只有 x/ybaseline raw 含 a/b —— 周去重只能看到 x/y
payload = {
"data": {
"date": "2026-07-13",
"movement_baseline": {
"github_trending": [{"repo": "a/b"}, {"repo": "x/y"}],
},
"wecom_shown_keys": {"github_trending": ["x/y"]},
}
}
(out / "2026-07-13.data.json").write_text(
json.dumps(payload, ensure_ascii=False), encoding="utf-8"
)
with patch("daily.board_history.OUTPUT_DIR", out):
keys = load_recent_shown_keys("2026-07-14", lookback_days=7)
self.assertEqual(keys["github_trending"], {"x/y"})
self.assertNotIn("a/b", keys["github_trending"])
def test_merge_shown_does_not_touch_baseline(self):
data = {
"movement_baseline": {"github_trending": [{"repo": "raw/one"}]},
}
merged = merge_wecom_shown_into_data(
data, {"github_trending": ["shown/one"]}
)
self.assertEqual(
merged["movement_baseline"]["github_trending"][0]["repo"], "raw/one"
)
self.assertEqual(merged["wecom_shown_keys"]["github_trending"], ["shown/one"])
```
- [ ] **Step 2: Run test to verify it fails**
Run: `pytest tests/test_board_history.py -v`
Expected: FAIL模块/函数不存在)
- [ ] **Step 3: Implement config + board_history + delta 委托**
`daily/config.py` 追加:
```python
def board_dedup_days() -> int:
return max(1, env_int("DAILY_BOARD_DEDUP_DAYS", 7))
def board_pool_size() -> int:
fallback = env_int("DAILY_WECOM_SKILL_POOL", 50)
return max(1, env_int("DAILY_BOARD_POOL_SIZE", max(50, fallback)))
def featured_dedup_days() -> int:
return max(1, env_int("DAILY_FEATURED_DEDUP_DAYS", 30))
def theme_ban_days() -> int:
return max(1, env_int("DAILY_THEME_BAN_DAYS", 7))
def narrative_axis_days() -> int:
return max(1, env_int("DAILY_NARRATIVE_AXIS_DAYS", 3))
def news_backfill_enabled() -> bool:
return env_bool("DAILY_NEWS_BACKFILL", False)
```
新建 `daily/board_history.py`:实现 `BOARD_KEYS``delta.RECENT_BOARD_KEYS` 同五榜Skills 用 `delta.skill_id`GitHub 用 `repo``load_recent_shown_keys` **只**读各日 `data.wecom_shown_keys`,缺省空集,读写失败打 log 后当空集。
修改 `daily/delta.py``load_recent_board_keys`:改为
```python
def load_recent_board_keys(date_str: str, *, lookback_days: int | None = None) -> dict[str, set[str]]:
from daily.board_history import load_recent_shown_keys
from daily.config import board_dedup_days
days = lookback_days if lookback_days is not None else board_dedup_days()
return load_recent_shown_keys(date_str, lookback_days=days)
```
删除(或不再走)原「从 movement_baseline 抽 keys」逻辑避免 pad 继续把 raw Top 当展示史。
`.env.example` 追加注释块:
```env
# 多样性 / 去重(见 docs/superpowers/specs/2026-07-14-wecom-diversity-dedup-design.md
# DAILY_BOARD_DEDUP_DAYS=7
# DAILY_BOARD_POOL_SIZE=50
# DAILY_FEATURED_DEDUP_DAYS=30
# DAILY_THEME_BAN_DAYS=7
# DAILY_NARRATIVE_AXIS_DAYS=3
DAILY_NEWS_BACKFILL=0
```
- [ ] **Step 4: Run tests**
Run: `pytest tests/test_board_history.py tests/test_wecom_delta.py -v`
Expected: `test_board_history` PASS既有 delta 测试若依赖「baseline 即 recent」行为按 Task 1 语义改断言为 shown_keys本 Task 内修回归,勿留红)。
- [ ] **Step 5: Commit**
```bash
git add daily/config.py daily/board_history.py daily/delta.py .env.example tests/test_board_history.py tests/test_wecom_delta.py
git commit -m "feat: 拆分 wecom_shown_keys 与 movement_baseline 历史层"
```
---
### Task 2: `board_select` 周去重 + 深池
**Files:**
- Create: `daily/board_select.py`
- Test: `tests/test_board_select.py`
**Interfaces:**
- Consumes: `extract_shown_keys` / `skill_id``group_skills_by_source`Skills 板)
- Produces:
- `board_select(*, board: str, items: list[dict], recent_keys: set[str], limit: int, pool_size: int, kind: Literal["skill","github"]) -> list[dict]`
- 日志短榜:`board_short:{board}:{n}``logging.getLogger(__name__).info`
- [ ] **Step 1: Write the failing test**
```python
# tests/test_board_select.py
from __future__ import annotations
import unittest
from daily.board_select import board_select
def _gh(repo: str) -> dict:
return {"repo": repo, "description": repo}
class BoardSelectTests(unittest.TestCase):
def test_filters_recent_and_keeps_order(self):
pool = [_gh(f"o/r{i}") for i in range(20)]
recent = {"o/r0", "o/r1", "o/r2"}
out = board_select(
board="github_trending",
items=pool,
recent_keys=recent,
limit=5,
pool_size=20,
kind="github",
)
keys = [x["repo"] for x in out]
self.assertEqual(keys, ["o/r3", "o/r4", "o/r5", "o/r6", "o/r7"])
def test_deep_pool_fills_after_filter(self):
pool = [_gh(f"o/r{i}") for i in range(8)]
recent = {f"o/r{i}" for i in range(6)} # 前 6 全封
out = board_select(
board="github_emerging",
items=pool,
recent_keys=recent,
limit=5,
pool_size=8,
kind="github",
)
self.assertEqual([x["repo"] for x in out], ["o/r6", "o/r7"]) # 短榜
def test_skill_uses_skill_id(self):
items = [
{"id": "a/b/s1", "source": "a/b", "title": "s1", "installs": 10},
{"id": "c/d/s2", "source": "c/d", "title": "s2", "installs": 9},
]
out = board_select(
board="skills_trending",
items=items,
recent_keys={"a/b/s1"},
limit=10,
pool_size=50,
kind="skill",
)
self.assertEqual([x["id"] for x in out], ["c/d/s2"])
```
- [ ] **Step 2: Run test to verify it fails**
Run: `pytest tests/test_board_select.py -v`
Expected: FAIL
- [ ] **Step 3: Implement `board_select`**
```python
# daily/board_select.py — 核心逻辑示意
def board_select(*, board, items, recent_keys, limit, pool_size, kind):
if kind == "skill":
from daily.skills_group import group_skills_by_source
pool = group_skills_by_source(items, limit=pool_size, pool_size=pool_size)
def key_fn(x): return skill_id(x)
else:
pool = items[: max(pool_size, limit)]
def key_fn(x): return str(x.get("repo") or "")
out = []
for item in pool:
k = key_fn(item)
if not k or k in recent_keys:
continue
out.append(item)
if len(out) >= limit:
break
if len(out) < limit:
logger.info("board_short:%s:%s", board, len(out))
return out
```
Skills输入可为未 group 的 raw函数内 group。GitHub输入为 repo 列表。
- [ ] **Step 4: Run tests — expect PASS**
Run: `pytest tests/test_board_select.py -v`
- [ ] **Step 5: Commit**
```bash
git add daily/board_select.py tests/test_board_select.py
git commit -m "feat: 实现 board_select 周去重与深池补满"
```
---
### Task 3: 接入 generate / format_wecom唯一列表主人 + post-render 写回)
**Files:**
- Modify: `daily/generate.py`(选榜、传入 pad、渲染后 merge shown
- Modify: `daily/format_wecom.py`delta pad 已通过改写后的 `load_recent_board_keys` 读 shown确保传入的 `*_pad` 池已是 `board_select` 深池结果)
- Modify: `daily/report_data.py`可选llm_input 切片改为 board_select 后列表,避免 Agent 看见未去重 Top
- Test: `tests/test_board_history.py` 增补「shown ≠ baseline 推导」集成断言;`tests/test_wecom_delta.py` pad 用例
**Interfaces:**
- Consumes: Task12
- Produces: 每次成功 generate 后 `output/{date}.data.json``data.wecom_shown_keys`
- [ ] **Step 1: Write / extend failing integration test**
```python
def test_persist_shown_keys_differs_from_baseline_keys(self):
# 构造raw trending 前 3 名本周已 shownboard_select 选出 3..
# movement_baseline 仍含 0..compare_depth
# 断言 data["wecom_shown_keys"]["github_trending"] 与 baseline repos 集合不等
...
```
(可用临时 `OUTPUT_DIR` + 调用抽取出的 `persist` 辅助,或测 `merge_wecom_shown_into_data` + `board_select` 组合。)
- [ ] **Step 2: Run — expect FAILgenerate 尚未写 shown**
- [ ] **Step 3: Wire generate**
`generate_report` 中,在组装 wecom 榜之前:
1. `recent = load_recent_shown_keys(date_str)`
2. 对五榜分别 `board_select(...)` 得到 `selected_*`limit=wecom_*pool=`board_pool_size()`
3. full渲染用 `selected_*`
4. delta`trending_pad`/`github_*_pad` = 同规则更大 pool 的 select 结果(或 raw 深池再 select`replace_wecom_board_sections(..., pad=True)` 内部 recent 已是 shown
5. 渲染后根据**最终写入正文的 items**full=selecteddelta=函数返回或并行计算最终列表)调用 `extract_shown_keys``merge_wecom_shown_into_data`,写回 data.json在现有 `save_json` 路径合并字段)
注意:`movement_baseline` 仍用 **raw** compare 切片构建(`report_data.build_llm_input` 现逻辑保留)。
`build_llm_input` 当前把未过滤 Top 塞进 Agent改为传入 `selected_*`(或另字段 `boards_for_wecom`),避免 opening 引用已周封杀的榜首。
辅助:在 `format_wecom` 增加 `resolve_wecom_board_items(...)` 返回最终 items dict供写回与 featured 池 A 共用,避免正文与 history 分叉。
- [ ] **Step 4: Run tests**
Run: `pytest tests/test_board_select.py tests/test_board_history.py tests/test_wecom_delta.py -v`
Expected: PASS
- [ ] **Step 5: Commit**
```bash
git add daily/generate.py daily/format_wecom.py daily/report_data.py tests/
git commit -m "feat: generate 以 board_select 为唯一列表主人并写回 shown keys"
```
---
### Task 4: `featured_resolve`(先定人再 research
**Files:**
- Modify: `daily/featured_pick.py`
- Modify: `daily/generate.py`(调用顺序)
- Test: `tests/test_featured_resolve.py`
**Interfaces:**
- Consumes: 最终展示 items池 A、raw 深池(池 B、近 30 日 `featured_pick_key`
- Produces:
- `featured_identity_key(featured: dict) -> str``type==skill` → idgithub → repo兜底 url path
- `load_recent_featured_keys(date_str, days) -> set[str]`
- `featured_resolve(*, date_str, candidate: dict | None, pool_a: list[dict], pool_b: list[dict], rng: random.Random | None) -> tuple[dict | None, str | None]`
返回 `(resolved_seed_or_featured_stub, identity_key)`**不含**完整 whywhy 由后续 research 写)
-`apply_featured_pick`:先 resolve 身份(若与昨日冲突则换候选写入 query`research_featured_pick`
- [ ] **Step 1: Failing tests**
```python
# tests/test_featured_resolve.py
def test_same_as_yesterday_picks_from_pool_a(self):
yesterday_key = "headroomlabs-ai/headroom"
pool_a = [
{"repo": "headroomlabs-ai/headroom", "board": "github_topic"},
{"repo": "ollama/ollama", "board": "github_trending"},
]
rng = random.Random(0)
resolved, key = featured_resolve(
date_str="2026-07-14",
candidate={"type": "github", "url": "https://github.com/headroomlabs-ai/headroom", "title": "headroom"},
pool_a=pool_a,
pool_b=[],
recent_featured={yesterday_key},
yesterday_key=yesterday_key,
rng=rng,
)
self.assertNotEqual(key, yesterday_key)
self.assertEqual(key, "ollama/ollama")
def test_pool_a_before_pool_b(self):
...
def test_exhausted_keeps_original(self):
...
```
- [ ] **Step 2: Run — FAIL**
- [ ] **Step 3: Implement**
`featured_resolve`:若无 candidate 或与 `yesterday_key` 不同 → 原样返回。
冲突时:过滤 `recent_featured | {yesterday_key}`,先从 pool_a 建可选项(每项抽 identity`rng.choice`;空则 pool_b仍空 log `featured_fallback_exhausted` 并保留原 candidate。
`apply_featured_pick` / generate 流程:
1. 解析 env 得到初始 query/candidate
2. `featured_resolve`(此时池 A 已是 board_select 结果)
3. 若换人:用新 repo/skill 构造 config`research_featured_pick`
4. 写入 `llm_input["featured_pick"]` 与之后 data.`featured_pick_key`
随机默认:`random.Random(int(hashlib.sha256(f"{date_str}:featured".encode()).hexdigest()[:16], 16))`
- [ ] **Step 4: pytest PASS**
- [ ] **Step 5: Commit**
```bash
git add daily/featured_pick.py daily/generate.py tests/test_featured_resolve.py
git commit -m "feat: 首推与昨日冲突时改推并保证一月不重复"
```
---
### Task 5: `narrative_axis` 硬互斥 + Step1 软禁 theme
**Files:**
- Create: `daily/narrative_axis.py`
- Modify: `daily/agent_workflow.py``analyze_trends`
- Modify: `skills/daily-agent/SKILL.md`
- Modify: `daily/generate.py`(落盘 `narrative_axis`;注入 llm_input
- Test: `tests/test_narrative_axis.py`
**Interfaces:**
- Produces:
- `NARRATIVE_AXES: tuple[str, ...] = ("政策监管", "模型发布", "工具链/Agent", "芯片算力", "开源生态", "应用落地", "安全/诉讼")`
- `pick_narrative_axis(used: set[str], *, rng: random.Random | None = None) -> str`
- `load_recent_axes(date_str, days) -> list[str]`(近 N 日 data.`narrative_axis`
- `enforce_narrative_axis(trends: dict, axis: str) -> dict`(强制 trends["narrative_axis"]=axis
- [ ] **Step 1: Failing tests**
```python
def test_pick_excludes_used(self):
used = {"政策监管", "模型发布", "工具链/Agent"}
for _ in range(20):
axis = pick_narrative_axis(used, rng=random.Random(1))
self.assertNotIn(axis, used)
def test_enforce_overwrites_llm(self):
trends = {"narrative_axis": "开源生态", "opening": "..."}
out = enforce_narrative_axis(trends, "芯片算力")
self.assertEqual(out["narrative_axis"], "芯片算力")
```
- [ ] **Step 2: FAIL → Step 3 implement**
`analyze_trends`:计算 `axis = pick_narrative_axis(set(load_recent_axes(...)))`;把 `required_narrative_axis` 与近 `theme_ban_days` 的 theme/opening 摘要列表注入 system prompt要求 JSON 含 `narrative_axis` 且必须等于 required。解析后 `enforce_narrative_axis`
generate 将 axis 写入 data.json。
SKILL.md Step1 schema 增加 `narrative_axis` 字段说明。
- [ ] **Step 45: pytest + commit**
```bash
git commit -m "feat: 代码选定叙事轴并注入 Agent 开场约束"
```
---
### Task 6: 取消新闻「放宽窗口」
**Files:**
- Modify: `daily/news/fetch.py``_apply_pushed_dedup_with_backfill`
- Modify: `daily/news/research.py`(确认只 filter_unpushed不足不拉超窗
- Create: `daily/news/sanitize.py`(或放入 `text_utils`)— `strip_relax_window_prefix(text: str) -> str`
- Modify: `skills/daily-ai-news-research/SKILL.md`(删除「放宽至 48h 并注明」;改为不足则少返回、禁止标注)
- Modify: `daily/generate.py` / news finalize对 desc_short 剥前缀)
- Test: `tests/test_news_relax.py`;扩展 `tests/test_news_fetch_window.py`
**Interfaces:**
- `news_backfill_enabled() == False` 时:`_apply_pushed_dedup_with_backfill` 等价于只返回 `filter_unpushed_items(...)[:limit]`**不**再从 `picked` 塞回
- `strip_relax_window_prefix`:去掉开头的 `放宽窗口[:]?` / `放宽至[^:]*[:]`
- [ ] **Step 1: Failing tests**
```python
def test_backfill_disabled_does_not_reinsert_pushed(self):
# fresh 不足 limitpicked 含已推BACKFILL=0 → 结果不含已推 link
...
def test_strip_relax_prefix(self):
self.assertEqual(
strip_relax_window_prefix("放宽窗口:苹果起诉 OpenAI"),
"苹果起诉 OpenAI",
)
```
- [ ] **Step 24: 实现并跑 `pytest tests/test_news_relax.py tests/test_news_fetch_window.py -v`**
Research 路径SKUILL 改完后,代码侧对 items 统一 `strip`;不足时 log `news_short:{n}`,接受短列表。
- [ ] **Step 5: Commit**
```bash
git commit -m "fix: 关闭新闻放宽凑数并剥离放宽窗口文案"
```
---
### Task 7: 端到端回归与文档对齐
**Files:**
- Modify: 如有遗漏的 `.env.example` / SKILL
- Test: 全量相关测试
- [ ] **Step 1: 跑全套**
Run:
```bash
pytest tests/test_board_history.py tests/test_board_select.py tests/test_featured_resolve.py tests/test_narrative_axis.py tests/test_news_relax.py tests/test_news_fetch_window.py tests/test_wecom_delta.py tests/test_featured_pick.py -v
```
Expected: 全部 PASS
- [ ] **Step 2: Spec 对照清单(人工)**
| Spec 要求 | 任务 |
|-----------|------|
| wecom_shown_keys ≠ movement_baseline | T1, T3 |
| board_select 唯一主人 + delta pad 共用 shown | T2, T3 |
| 首推月去重 A→B、先定人再 why | T4 |
| narrative_axis 硬保证 | T5 |
| 禁放宽 backfill + 剥前缀 + hours 窗 | T6 |
| 成功标准可测 | 各测覆盖 |
- [ ] **Step 3: Commit若有收尾文档**
```bash
git add -u
git commit -m "test: 多样性去重全链路回归通过"
```
---
## Spec Coverage Self-Review
| Spec 节 | 计划任务 |
|---------|----------|
| 1.1 双基准分离 | T1 |
| 1.2 唯一列表主人 | T2T3 |
| 1.3 真相表 | T1, T3T5 落盘字段 |
| 2.1 board_select | T2 |
| 2.2 featured_resolve | T4 |
| 3.1 narrative_axis + 软 theme | T5 |
| 3.2 取消放宽 | T6 |
| 4.x 配置/降级/测试 | T1T7 |
无 TBDCommit 信息均为中文描述体。
## Execution Handoff
Plan complete and saved to `docs/superpowers/plans/2026-07-14-wecom-diversity-dedup.md`.
**两种执行方式:**
1. **Subagent-Driven推荐** — 每任务新开子代理,任务间审查
2. **Inline Execution** — 本会话按 `executing-plans` 连续做完,设检查点
要哪个?