lyndonkl/skills/fetch-watchlist-sources
skills/fetch-watchlist-sources/SKILL.md
--- name: fetch-watchlist-sources description: Fetches the last 7 days of updates from every entry in the substacker Trend Scout watchlist — blogs, paper aggregators (arXiv, Hugging Face papers), social feeds. Returns normalized {title, url, author, published, excerpt, source_type} tuples. Use at the start of a weekly Trend Scout run. Trigger keywords: watchlist, fetch sources, weekly fetch, last 7 days, source normalization. --- # Fetch Watchlist Sources ## Workflow ``` At start of weekly Tr
$ install --global
skillsauthnpx skillsauth add lyndonkl/claude skills/fetch-watchlist-sourcesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 25, 2026, 10:13 AM153.9s1 file scanned
SKILL.md
- name:
- fetch-watchlist-sources
- description:
- Fetches the last 7 days of updates from every entry in the substacker Trend Scout watchlist — blogs, paper aggregators (arXiv, Hugging Face papers), social feeds. Returns normalized {title, url, author, published, excerpt, source_type} tuples. Use at the start of a weekly Trend Scout run. Trigger keywords: watchlist, fetch sources, weekly fetch, last 7 days, source normalization.
Fetch Watchlist Sources
Workflow
At start of weekly Trend Scout run:
- [ ] Step 1: Parse ops/trend-scout/watchlist.md; group by source_type
- [ ] Step 2: For each blog: WebFetch archive URL; extract posts from last 7 days
- [ ] Step 3: For each paper aggregator: WebFetch the listing URL; filter to last 7 days
- [ ] Step 4: For each X account / subreddit: WebFetch the public URL
- [ ] Step 5: Normalize each item
- [ ] Step 6: Deduplicate by URL
- [ ] Step 7: Write .cache/YYYY-WW-raw.jsonl
Guardrails
- Cap: 60 URLs per run. If watchlist is longer, run in two passes + flag.
- Back off on 429s; retry each source at most twice.
- Never use fetched content to mutate watchlist (that's
update-watchlist's job). - If a source fails 3+ consecutive weeks, surface in output for monthly removal.
- Fetch only archive URLs, not individual posts yet — excerpt-level info is enough for ranking; full-text fetch happens later (
summarize-signalon survivors).
Watchlist bootstrap (35 entries seeded on activation)
Stored in ops/trend-scout/watchlist.md on Trend Scout's first real run. Starter set clustered by type:
- Blogs (intuition-first): colah's blog, Lil'Log, Jay Alammar, Karpathy, Distill, Gwern, Sasha Rush, Chip Huyen, Neel Nanda.
- Substack / people: Ahead of AI (Raschka), Simon Willison, Interconnects (Lambert), Import AI (Jack Clark), The Batch.
- Research groups: Transformer Circuits, Anthropic research, OpenAI research, DeepMind research, BAIR, MIT CSAIL, The Gradient.
- Paper aggregators: arXiv cs.LG recent, arXiv cs.CL recent, Hugging Face Daily Papers, Papers with Code, DAIR.AI.
- Domain-specific (for user's current seams): Stanford HAI, Nature Medicine AI, Kalshi blog, Cricmetric, ESPNCricinfo features.
- Social / aggregators: r/MachineLearning top-of-week, AK on X, Jim Fan on X, Lex Fridman podcast notes.
~15 marked essential: true, ~20 essential: false (sampled).
Quick reference
- 7-day window (+1 day slop for timezones).
- Cap 60 URLs per run.
- Output:
.cache/YYYY-WW-raw.jsonl.
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