Borrowing it
Nothing to install: this file belongs to daloopa/investing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/daloopa/investing/main/.claude/skills/ib-deck/SKILL.mdgit clone --depth 1 https://github.com/daloopa/investingWrote 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/daloopa/investing/ib-deck)<a href="https://agentmods.dev/skills/daloopa/investing/ib-deck"><img src="https://agentmods.dev/badge/skills/daloopa/investing/ib-deck/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/daloopa/investing/ib-deck"><img src="https://agentmods.dev/badge/skills/daloopa/investing/ib-deck.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.01320 |
| Opus 5.5 | $0.00007 | $0.00528 |
| Sonnet 5.5 | $0.00003 | $0.00264 |
| Haiku 4.5 | $0.00002 | $0.00132 |
Grade A, and why
ib-deck 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 2mo 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build an institutional-grade pitch deck for the company specified by the user: $ARGUMENTS
Before starting, read ../data-access.md for data access methods and ../design-system.md for formatting conventions. Also read the reference files in this skill's references/ directory for slide templates and components.
This is a project-only skill that generates a self-contained HTML presentation and renders it to PDF.
Phase 1 — Requirements
Determine the deck category and scope:
Category (infer from context, or default to IB Advisory):
- IB Advisory — M&A advisory, fairness opinions, board presentations. Navy/steel/gold palette. "CONFIDENTIAL" marking.
- Activist / L-S Equity — Shareholder campaigns, investment memos as decks. Navy/blue/orange or navy/sky/green palette.
Firm Attribution:
- Firm name defaults to "Daloopa". If the user specifies a firm name in their prompt, use that instead.
- NEVER hallucinate a firm name (Goldman Sachs, Morgan Stanley, JPMorgan, etc.). See
../data-access.mdSection 4.5. - Include firm name on the cover slide and in all slide footers.
Gather from the user or infer:
- Target company (ticker)
- Purpose (M&A pitch, fairness opinion, investment memo, activist campaign)
- Key thesis or strategic rationale
- Specific slides needed (or use the default 14-slide deck)
Phase 2 — Data Gathering
Look up the company by ticker using discover_companies. Capture company_id, latest_calendar_quarter, and latest_fiscal_quarter. Use latest_calendar_quarter to anchor all period calculations (see ../data-access.md Section 1.5).
Use Daloopa MCP for all financial data. Target comprehensive coverage:
- 5+ years of quarterly financials — calculate 20+ quarters backward from
latest_calendar_quarter(income statement, balance sheet, cash flow) - Segment and geographic breakdowns
- All company-specific operating KPIs
- 6-10 peers — get trading multiples and fundamentals from Daloopa + market data (see ../data-access.md Section 2)
- Guidance and consensus (see ../data-access.md Section 3)
- SEC filings — risk factors, growth drivers, M&A commentary, strategic language
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 105 lines · 17 tokens per session scan A 384f6f5e980b
ib-deck is a skill published in the GitHub repository daloopa/investing (488 stars, last pushed 8d ago), licensed Apache-2.0. It adds 17 tokens to every session and 1,320 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
ib-deck compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ib-deckdaloopa/investing | Skill | 488 | 8d ago | Apache-2.0 | A | 17 | Claude Code |
| invoicenexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 46 | Claude Code, Codex |
| report-generatoryennanliu/InvestSkill | Skill | 275 | 13d ago | MIT | A | 11 | Claude Code |
| cwicr-report-generatordatadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction | Skill | 394 | 18d ago | MIT | A | 29 | Claude Code, Codex |
| iflytek-ocr-invoiceiflytek/iFly-Skills | Skill | 213 | 2d ago | Apache-2.0 | A | 77 | Claude Code, Codex |
| financial-parserOneWave-AI/claude-skills | Skill | 415 | 18d ago | MIT | A | 41 | Claude Code, Codex |
| billing-automationTerminalSkills/skills | Skill | 192 | yesterday | Apache-2.0 | A | 86 | Claude Code, Codex |