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feat(digg): rename to 'Digg' and bump per-cluster post limits (#372)

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* feat(digg): bump POSTS_PER_CLUSTER to 5 and render limit to 3

Match the per-item enrichment cap and inline-display cap used by the
other sources (Reddit, HN, YouTube, TikTok, GitHub all use 5 fetched /
3 displayed). At the previous 3/2 caps the engine routinely truncated
cluster context — a recent run on cli-printing-press lost the Jason
Calacanis quote tweet entirely because the display cut off after Garry
Tan's first two posts.

* feat(digg): rename 'Digg AI 1000' to 'Digg' in user-facing strings

Drop the 'AI 1000' suffix from the footer line, source label, inline
quote attribution ('via Digg'), why_relevant, container, mock title,
SKILL.md source list, and README sources table. Internal code comments
and docstrings still reference the upstream Digg AI 1000 product.

Bumps version to 3.2.1 and adds a CHANGELOG entry covering this rename
and the POSTS_PER_CLUSTER / render-limit bumps from the prior commit.

---------

Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
This commit is contained in:
Matt Van Horn
2026-05-09 21:04:23 -07:00
committed by GitHub
parent 80392061d4
commit dc934ddb6a
11 changed files with 31 additions and 25 deletions
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skills/last30days/scripts/lib/render.py
+8 -8
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@@ -53,7 +53,7 @@ SOURCE_LABELS = {
"xiaohongshu": "Xiaohongshu",
"x": "X",
"github": "GitHub",
"digg": "Digg AI 1000",
"digg": "Digg",
"perplexity": "Perplexity",
}
@@ -853,7 +853,7 @@ def render_full(report: schema.Report) -> str:
tc_score = tc.get("score", "")
attribution = _comment_attribution(item.source, tc.get("author"))
lines.append(f" Top comment {attribution} ({tc_score} {vote_label}): {excerpt}")
# Digg AI 1000: inline X-post quotes attached to the cluster.
# Digg: inline X-post quotes attached to the cluster.
for post in _digg_posts_for(item, limit=3):
lines.append(f" > {_format_digg_quote(post)}")
# Comment insights for Reddit
@@ -1229,7 +1229,7 @@ _FOOTER_SOURCES: list[tuple[str, str, str, str, list[tuple[str, str]]]] = [
("bluesky", "🦋", "Bluesky", "post", [("likes", "likes"), ("reposts", "reposts")]),
("truthsocial", "🇺🇸", "Truth Social", "post", [("likes", "likes"), ("reposts", "reposts")]),
("github", "🐙", "GitHub", "item", [("reactions", "reactions"), ("comments", "comments")]),
("digg", "⛏️", "Digg AI 1000", "cluster", [("postCount", "posts"), ("uniqueAuthors", "authors")]),
("digg", "⛏️", "Digg", "cluster", [("postCount", "posts"), ("uniqueAuthors", "authors")]),
]
@@ -1684,7 +1684,7 @@ def _comment_insight(item: schema.SourceItem | None) -> str | None:
return str(insights[0]).strip() or None
def _digg_posts_for(item: schema.SourceItem | None, limit: int = 2) -> list[dict]:
def _digg_posts_for(item: schema.SourceItem | None, limit: int = 3) -> list[dict]:
"""Return up to `limit` parsed Digg posts attached as enrichment to a cluster.
Returns an empty list for non-digg sources or clusters without enrichment.
@@ -1704,17 +1704,17 @@ def _digg_posts_for(item: schema.SourceItem | None, limit: int = 2) -> list[dict
def _format_digg_quote(post: dict, body_limit: int = 200) -> str:
"""Format a Digg-attached X post as an inline 'via Digg AI 1000' quote line."""
"""Format a Digg-attached X post as an inline 'via Digg' quote line."""
handle = post.get("username") or ""
x_url = post.get("x_url") or ""
body = (post.get("body") or "").replace("\n", " ").strip()
if len(body) > body_limit:
body = body[: body_limit - 1].rstrip() + "…"
if x_url and handle:
return f"[@{handle}]({x_url}) via Digg AI 1000: {body}"
return f"[@{handle}]({x_url}) via Digg: {body}"
if handle:
return f"@{handle} via Digg AI 1000: {body}"
return f"via Digg AI 1000: {body}"
return f"@{handle} via Digg: {body}"
return f"via Digg: {body}"
def _transcript_highlights(item: schema.SourceItem | None) -> list[str]: