last30

<!-- autoresearch: variation B — narrative-first output with sentiment splits, contrarian view, and what-changed delta -->

> **${var}** — Topic to research (required). Append `--quick` for a lighter pass (≤15 sources), or `--days=N` to change the lookback window (default: 30).

Google aggregates editors. A flat "top N posts per platform" aggregates noise. This skill does two things differently: (1) reframes output around **narratives** (clusters the same story across platforms) instead of platform-siloed recaps, and (2) makes the **disagreement** between platforms the primary signal — where Reddit is bearish and X is bullish on the same story, that divergence is usually the most actionable finding.

If `${var}` is empty, abort and notify: `"last30 requires var= set to a topic"`. Exit.

---

## Steps

### 0. Parse parameters and bootstrap

Extract from `${var}`:
- **topic**: everything before any `--` flags, trimmed
- **--quick**: lighter mode (fewer sources, shorter report)
- **--days=N**: custom lookback window (default: 30)

```bash
DAYS=30  # or from --days flag
FROM_DATE=$(date -u -d "${DAYS} days ago" +%Y-%m-%d 2>/dev/null || date -u -v-${DAYS}d +%Y-%m-%d)
TO_DATE=$(date -u +%Y-%m-%d)
FROM_TS=$(date -u -d "${FROM_DATE}" +%s 2>/dev/null || date -u -j -f "%Y-%m-%d" "${FROM_DATE}" +%s)
YEAR=$(date -u +%Y)
TODAY=$(date -u +%Y-%m-%d)
TOPIC_SLUG=$(echo "$TOPIC" | tr '[:upper:]' '[:lower:]' | sed -E 's/[^a-z0-9]+/-/g; s/^-+|-+$//g')
```

Read `memory/MEMORY.md` for tracked interests.
Read `memory/topics/last30-${TOPIC_SLUG}.md` if it exists — it holds the prior snapshot used for the **What Changed** section below. If absent, this is a cold run.
Read the last 3 `memory/logs/` entries to avoid duplicating very recent work on the same topic.

---

### 1. Entity pre-resolution

Run 2-3 WebSearches to discover the right handles, communities, and terms. Do this **before** platform queries — searching blind across wrong subreddits wastes sources.

```
WebSearch: "${topic}" site:reddit.com
WebSearch: "${topic}" site:x.com OR site:twitter.com
WebSearch: "${topic}" community OR subreddit OR forum OR "best account"
```

Extract:
- **2-4 relevant subreddits** (note the exact lowercase name, e.g. `solana`, `cryptocurrency`)
- **2-3 relevant X handles** (voices with demonstrated signal on this topic)
- **2-3 search variants** (alternate names, abbreviations, hashtags)
- **Anchor tokens**: proper nouns, project names, specific numbers, URL domains that identify the topic. These are used for clustering in step 7.

Write the resolved entities to a scratch variable — you'll pin them into every downstream prompt to prevent topic drift.

---

### 2. Reddit search (30-day window)

**Fetch note**: Reddit public `.json` works unauthenticated but caps at ~10 req/min per IP and **requires a descriptive User-Agent** or it returns empty `{}` 200s. If curl fails or returns empty, use **WebFetch** on the same URL.

User-Agent format: `aeon-bot:last30:v1 (by /u/aeon-agent)`

For each identified subreddit (up to 4), fetch top posts from the window using `old.reddit.com`:

```bash
UA="aeon-bot:last30:v1 (by /u/aeon-agent)"
# Subreddit-restricted top-of-month
curl -sL -A "$UA" \
  "https://old.reddit.com/r/${SUBREDDIT}/search.json?q=${TOPIC_ENC}&restrict_sr=on&sort=top&t=month&limit=15"
```

Broad cross-subreddit search:
```bash
curl -sL -A "$UA" \
  "https://old.reddit.com/search.json?q=${TOPIC_ENC}&sort=top&t=month&limit=25"
```

**Empty-result detection**: if `data.children.length == 0` on a 200 response, that's a rate-limit, not a real empty. Back off 10s, retry once. If still empty, fall back to WebFetch on the same URL.

Extract per post: `title`, `selftext` (first 500 chars), `score`, `num_comments`, `permalink` (build full URL), `created_utc`, `subreddit`, `url` (the external link if any — captured for canonical-URL dedup in step 7).

**Quick mode:** broad search only, 15 posts.
**Full mode:** all identified subreddits + broad search. For the top 3-5 threads by `score + num_comments`, fetch top comments:
```bash
curl -sL -A "$UA" \
  "https://old.reddit.com/r/${SUBREDDIT}/comments/${POST_ID}.json?sort=top&limit=10"
```

**Topic-drift guard**: discard any post whose title + first 200 chars of selftext contains none of the topic terms or entity anchors from step 1.

---

### 3. X / Twitter (30-day window)

`XAI_API_KEY` is **injected into this skill's environment** (declared in `requires:`) and is present and valid. The **primary** X source is a direct `curl` to `https://api.x.ai/v1/responses` — there is no network sandbox. See **## Fetching** for the full contract (timeout, HTTP capture, fallback taxonomy). WebSearch is a last-resort fallback only.

**Path A — X.AI API (primary).** Confirm the key, then run the topic-window query. Set the Bash tool `timeout` to **≥180000** (x_search takes 30–120s); the curl carries `--max-time 150`. A slow curl is **not** a missing key — never treat a timeout as key-unavailable.

```bash
[ -n "$XAI_API_KEY" ] && echo KEY_PRESENT || echo KEY_UNSET   # prints KEY_PRESENT — Path A is required
# Build the payload to a file with jq --arg (no heredoc into a var) so the ./secretcurl command stays 100% literal:
jq -n --arg topic "$TOPIC" --arg variants "$SEARCH_VARIANTS" --arg fd "$FROM_DATE" --arg td "$TO_DATE" \
  '{model:"grok-4.6", input:[{role:"user",content:("Search X for tweets about: "+$topic+" (also try: "+$variants+"). Date range: "+$fd+" to "+$td+". Return 15-25 substantive tweets — mix high-engagement posts with smaller accounts that add a distinct angle. For each: @handle, full text, date posted, exact engagement counts (likes, retweets, replies; 0 if unknown), follower count if available, and the direct link https://x.com/handle/status/ID. Skip retweets and reply-guy near-duplicates.")}], tools:[{type:"x_search",from_date:$fd,to_date:$td}]}' \
  > /tmp/xai-last30-topic-payload.json
HTTP=$(./secretcurl -s -o /tmp/xai-last30-topic.json -w '%{http_code}' --max-time 150 -X POST