Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tonydzi/second-brain-starter-kit --skill last30daysgit clone --depth 1 https://github.com/tonydzi/second-brain-starter-kitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/last30days)<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/last30days"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/last30days.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00091 | $0.01207 |
| Opus 5 | $0.00046 | $0.00603 |
| Sonnet 5 | $0.00018 | $0.00241 |
| Haiku 4.5 | $0.00009 | $0.00121 |
Grade A, and why
last30days scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/last30days — what's new on topic X over the last 30 days
🧒 End the reply to the operator with a short "In plain words" recap (memory
eli5-always).
A fast trend-watch BEFORE strategy: before planning or launching a Deep Research, take a 10-second slice of "what actually moved on this topic in the last 30 days". This is the entry into the GAP phase of the Alpha Protocol (/alfa): recall knows the operator's past, /last30days adds fresh signal from outside → together they outline the hole a DR has to fill.
Three-layer design ([[skill-design-three-layer]]): a thin skill (UX) → a deterministic engine (0 tokens) → an existing store (8 channel databases). The cost ladder [[vault-data-architecture]]: a SQL slice answers cheaply, the LLM only synthesizes the top hits.
Steps
0. RECALL (don't duplicate). Is there already a fresh slice on this topic? Check $IMPORTS_ROOT/alpha\candidates\_last30days-<topicslug>.md plus memory/the vault (/ask <topic>). If the slice is fresh (from today) — reuse it, don't re-run.
1. Deterministic slice (0 tokens, 0 network). Expand the topic into synonyms in both languages you collect in (the model judges what matters): e.g. the topic "sub-agents" → mcp, sub-agent, subagent, agent, orchestr, swarm.
set PYTHONIOENCODING=utf-8
python $IMPORTS_ROOT/watchers\last30days.py --topic "<term1, term2, …>" --days 30 --top 25 --json
→ slices the 8 channel databases (_imports\alpha\<slug>\<slug>.db, refreshed nightly) by window × keys, scores through mine_channel.score, dedups, writes the digest _imports\alpha\candidates\_last30days-<topicslug>.md and prints the top as JSON. It does not re-scrape — the databases are updated by the nightly watch_run.py. Need a guarantee of freshness right now → add --refresh (goes to the network on the subscription session). Empty result → widen the synonyms / raise --days.
2. (optional) Outside freshness — WebSearch. If the topic reaches beyond the operator's Telegram channels (market/releases/competitors) — 1-2 WebSearch queries over the same keys, windowed to the last 30 days. It complements the channel slice, it does not replace it. Skip it for narrowly internal topics.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 56 lines · 91 tokens per session scan A 6b5abb1423eb
last30days is a skill published in the GitHub repository tonydzi/second-brain-starter-kit (5 stars, last pushed 8d ago), licensed MIT. It adds 91 tokens to every session and 1,207 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
autoresearch
Run a bounded, source-grounded research loop, draft a cited dossier, and optionally propose a separately reviewed canonical vault merge. Use when the user wants autonomous or deep research that may access the public web. Triggers: /autoresearch, autoresearch, research this topic, deep dive into, investigate, find…
wiki-ingest
Ingest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer. Triggers: ingest, ingest this file, ingest this…
canvas
Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes. Use for canvas status, canvas lists, visual maps, zones, spatial layouts, adding vault notes or media to a .canvas file, and requests such as create canvas, add to canvas, or put this on the canvas.
defuddle
Plan and, with explicit network consent, use an optional external Defuddle cleaner to extract article-like HTTPS pages as Markdown. Use for defuddle, clean this URL, strip page clutter, readable Markdown from a web page, or preparing a web source for later wiki ingestion.
obsidian-bases
Explain, draft, and validate Obsidian Bases .base files with filters, formulas, properties, summaries, and table, card, or list views. Use for Obsidian Bases, database-like vault views, dynamic tables, reading lists, task trackers, filters, formulas, summaries, and .base file edits.
save
Save a user-selected answer, decision, insight, or session summary into an Obsidian vault as one reviewed transaction. Use only when the user explicitly asks to preserve specific conversation content, not when they supply a file or URL to ingest. Triggers: /save, save this, save that answer, file this conversation…