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 leecyno1/boutique-skills --skill anthropic-fs-equity-research-morning-notegit clone --depth 1 https://github.com/leecyno1/boutique-skillsWrote 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/leecyno1/boutique-skills/anthropic-fs-equity-research-morning-note)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-morning-note"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-morning-note/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-morning-note"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-morning-note.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00074 | $0.00705 |
| Opus 5 | $0.00037 | $0.00352 |
| Sonnet 5 | $0.00015 | $0.00141 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
morning-note 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 8d 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.
This is a copy
100% identical to morning-note — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Morning Note
Workflow
Step 1: Overnight Developments
Scan for relevant events across coverage universe:
Earnings & Guidance
- Any coverage companies reporting overnight or pre-market?
- Earnings surprises (beat/miss on revenue, EPS, key metrics)
- Guidance changes (raised, lowered, maintained)
News & Events
- M&A announcements or rumors
- Management changes
- Product launches or regulatory decisions
- Analyst upgrades/downgrades from competitors
- Macro data or policy changes affecting the sector
Market Context
- Overnight futures / pre-market moves
- Sector ETF performance
- Relevant commodity or currency moves
- Key economic data releases today
Step 2: Morning Note Format
Keep it tight — a morning note should be readable in 2 minutes:
[Date] Morning Note — [Analyst Name] [Sector Coverage]
Top Call: [Headline — the one thing PMs need to hear]
- 2-3 sentences on the key development and why it matters
- Stock impact: price target, rating reiteration/change
Overnight/Pre-Market Developments
- [Company A]: One-line summary of earnings/news + our take
- [Company B]: One-line summary + our take
- [Sector/Macro]: Relevant sector-wide development
Key Events Today
- [Time]: [Company] earnings call
- [Time]: Economic data release (expectations vs. our view)
- [Time]: Conference or investor day
Trade Ideas (if any)
- [Long/Short] [Company]: 1-2 sentence thesis + catalyst
- Risk: What would make this wrong
Step 3: Quick Takes on Earnings
If a coverage company reported, provide a quick reaction:
| Metric | Consensus | Actual | Beat/Miss |
|---|---|---|---|
| Revenue | |||
| EPS | |||
| [Key metric] | |||
| Guidance |
Our Take: 2-3 sentences — is this good or bad for the stock? Does it change our thesis?
Action: Maintain / Upgrade / Downgrade rating? Adjust price target?
Step 4: Output
- Markdown text for email/Slack distribution
- Word document if formal distribution is needed
- Keep to 1 page max — PMs and traders won't read more
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.
- 8d ago First seen · 90 lines · 74 tokens per session scan A 38f0b36cd414
morning-note is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 74 tokens to every session and 705 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to morning-note, differing in 0 lines, and is treated as a copy.
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