Six small additive changes that make the skill correctly understand its
configured sources, plus tests + docs.
User-visible benefits
- LAST30DAYS_STORE=1 in .env turns persistence default-on without
remembering --store on every invocation. Mirrors LAST30DAYS_DEBUG /
LAST30DAYS_SKIP_PREFLIGHT convention.
- SCRAPE_CREATORS_API_KEY (with underscore) accepted as alias for the
canonical name. Matches the spelling used in the vendor's own example
code (Adrian Horning's repo); saves the next user the same diagnostic
rabbit hole.
- Bluesky search now hits api.bsky.app (canonical AppView) instead of
public.api.bsky.app (BunnyCDN-blocked public mirror as of 2026-05-04).
BSKY_SEARCH_HOST env var lets users self-rescue future host migrations
without a code release. Pre-fix: silent 0 Bluesky posts on every run.
- App-password format validator emits a one-shot stderr warning when
BSKY_APP_PASSWORD doesn't match xxxx-xxxx-xxxx-xxxx form. Detect-don't-
gate: createSession still accepts main passwords; the warning helps
users identify a hygiene issue without breaking existing setups.
- Instagram retry on multi-token 500. SC's v2 reels endpoint wraps
Google Search and 500's frequently on multi-word queries; a hashtag-
form retry runs once before bubbling up. Documented vendor instability.
- LAST30DAYS_TRANSCRIPT_TIMEOUT env var (default 30s, was hardcoded 15s).
SC's transcript endpoint regularly takes >15s; the old default was
clipping legitimate responses.
- Silent-failure visibility: new bonus_errored field in the quality
nudge fires when SC is configured but Instagram returned 0 items.
Users see "Bonus source silent: Instagram" instead of unexplained
absence.
- YouTube degraded-ratio false-positive fixed. Captions-disabled videos
can never produce a transcript regardless of yt-dlp version; they're
now subtracted from the denominator so a single uploader-disabled
video doesn't false-trigger the "stale yt-dlp" nudge.
- urllib retry path: status_code attribute typo fix. The Instagram
500-retry was dead code on the urllib branch (getattr(e, 'status', ...)
while http.HTTPError exposes status_code).
Docs
- README.md: added /plugin install last30days step after marketplace add
in three places (the install was previously omitted in the docs).
- CONFIGURATION.md: documented LAST30DAYS_STORE env var, added
BSKY_SEARCH_HOST + app-password format section, mentioned
LAST30DAYS_TRANSCRIPT_TIMEOUT in the Instagram source row.
Test plan
- 43 new unit tests across test_bluesky.py, test_instagram_sc.py,
test_quality_nudge.py, test_youtube_yt.py
- 141 total tests passing in target suite
- Verified end-to-end: /last30days "Toronto resale condo market" with
all 11+ sources active stored 35 new + 5 updated findings, all builder-
PR-style accounts absent (organic agent voice in Instagram + TikTok
results)
Backward compatibility
All changes are strictly additive. Optional kwargs default to None.
New env vars are opt-in. Existing CLI flags untouched. Existing callers
of public functions unaffected.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* 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>
* feat(digg): add Digg AI 1000 source module with cluster search and post enrichment
- search_digg shells out to digg-pp-cli with --since 30d --agent
- parse_digg_response normalizes clusters to last30days dict shape
- enrich_with_top_posts attaches top-ranked X posts to top-K clusters
- shutil.which gate plus subproc.run_with_timeout discipline matches
bird_x.py / youtube_yt.py patterns
25 unit tests cover parse, age window, relevance, binary-missing
fallback, timeout recovery, and partial enrichment failures.
* feat(digg): wire Digg source into pipeline, normalize, signals, and render
pipeline.py:
- Import digg, add to MOCK_AVAILABLE_SOURCES, gate via shutil.which
- Dispatch case calls search_digg + parse_digg_response, runs
enrich_with_top_posts at default/deep depth
- Mock fixture includes one enriched cluster + one bare cluster
normalize.py:
- _normalize_digg maps cluster dicts to SourceItem with
container='Digg AI 1000' and metadata.posts pass-through
signals.py:
- SOURCE_QUALITY['digg'] = 0.85 (top tier alongside YouTube,
reflecting Digg's curatorial layer)
- ENGAGEMENT_WEIGHTS['digg'] balances postCount, uniqueAuthors,
and the rank_score derived from Digg's curatorial position
render.py:
- SOURCE_LABELS['digg'] = 'Digg AI 1000'
- _FOOTER_SOURCES adds '⛏️ Digg AI 1000' line after GitHub
- ENGAGEMENT_DISPLAY mirrors footer keys
- New _digg_posts_for + _format_digg_quote helpers emit inline
'@handle via Digg AI 1000' quotes for clusters with attached X
posts; both compact and full-dump renderers call them
* feat(digg): polish per-item engagement display and progress label
- ENGAGEMENT_DISPLAY for digg uses 'posts' / 'auth' to match the
codebase abbreviation convention (HN: 'pts'/'cmt', X: 'rt'/'re')
- Footer item word changes from 'story' to 'cluster' to dodge the
pre-existing naive plural in _footer_line_for_source ('storys')
and to match Digg's actual data model
- ui.py SOURCE_COMPLETION_META adds digg with correct 'cluster'/
'clusters' plural so 'Research complete' shows 'Digg: N clusters'
* feat(digg): document Digg AI 1000 source in skill, README, and changelog
- planner.py SOURCE_CAPABILITIES adds digg with discussion/social/link
capabilities so the planner offers it through the standard fanout
- SKILL.md ACTIVE_SOURCES_LIST gate includes 'which digg-pp-cli' check
and the source list / available-sources line names digg as opt-in
- README.md Sources table adds the Digg AI 1000 row with the activation
gate so first-time readers see what they get
- CHANGELOG.md Unreleased section calls out the source addition
* fix(digg): enrich post-dedupe so brief survivors carry inline quotes
Pipeline dispatch was attaching X posts to the top-3 items returned by
search, but dedupe later picked different survivors when multiple
clusters compared similar (common for trending topics). The brief
ended up showing clusters with no posts attached even though
enrichment ran successfully on positions 0-2.
Move enrichment to _finalize_items_by_source. The new
digg.enrich_source_items helper reads metadata['clusterUrlId'] and
writes metadata['posts'] in place on the SourceItems that actually
survive dedupe.
Verified live on 'openclaw': 2 surviving clusters, both now carry
real X-post quotes from @sama and @jeremyphoward attributed
'via Digg AI 1000'.
Adds 3 unit tests covering survivor enrichment, non-digg skip, and
clusterUrlId fallback to item_id.
* test(digg): relax live off-topic test to check shape, not emptiness
Digg's live search uses fuzzy/popularity fallback, so an impossible
token can still return some loosely-related clusters. The contract
the pipeline depends on is shape (results is always a list);
token-overlap relevance handles the noise downstream.
---------
Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
_normalize_reddit, _normalize_hackernews, and _normalize_github inlined
the same 5-line comprehension to stringify and space-join the first 3
top_comments' excerpt field. Extract one helper, call it from all three.
The comment field name varies per source (Reddit/GitHub use 'excerpt',
HN uses 'text'), so it's passed as a parameter. Behavior unchanged.
Daniel Zivkovic