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 norahe0304-art/30x-mckinsey-research-deck --skill mckinsey-deckgit clone --depth 1 https://github.com/norahe0304-art/30x-mckinsey-research-deckWrote 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/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck)<a href="https://agentmods.dev/skills/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-mckinsey-research-deck/mckinsey-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/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck.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 | $0.00119 | $0.01604 |
| Opus 5 | $0.00060 | $0.00802 |
| Sonnet 5 | $0.00024 | $0.00321 |
| Haiku 4.5 | $0.00012 | $0.00160 |
Grade A, and why
mckinsey-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 12d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
McKinsey-Style Deck (the style + engine skill)
Build a research-grade-looking, page-turning deck from content the user gives you.
Reviewed on screen as an HTML presentation; shared as a print-clean PDF. The whole engine
is one file — assets/deck_engine.py — copy it into the project and compose build().
This skill owns the canonical engine. mckinsey-market-research-deck (and any future
deck skill) consumes assets/deck_engine.py from HERE — engine fixes land in this file only,
never in a project-local or sibling-skill fork. One engine, zero drift.
How to use
- Copy
assets/deck_engine.pyinto the working dir. SetBRAND(the footer line) andOUT_HTML. - Compose the deck inside
build()using the renderers (below). Feed them the user's content directly, or load from a JSON if the content is structured. - Render + export:
(Windows/Linux: swap the Chrome path forpython3 deck_engine.py "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" --headless --disable-gpu \ --no-pdf-header-footer --print-to-pdf="Deck.pdf" "Deck.html"chrome/google-chrome.) - QC (below), fix, re-render, then deliver.
Renderers (all in deck_engine.py)
cover(title_html, subtitle)— navy hero (usesproduct-images/cover-hero.pngif present), title + one subtitle.answer_slide(title, deck, governing, pillars, src)— the executive-summary page (Pyramid Principle: answer first). One-sentence governing thought + 3–4 pillar conclusions, each optionally with a serif key stat. Place right after the cover; reading only the headlines from here to the end must form one persuasive essay (horizontal logic).divider(no, title, points)— full-navy section break; big sky-blue number; optional duotone image (divider-<no>.png).heroes([(num, label), ...])— 4-up serif stat strip.prose_slide(title, deck, themes, src, cols=2, note=None)— "bold theme + paragraph" blocks (the McKinsey prose page).themes=[(heading, paragraph_html), ...].essay_slide(title, deck, lead, paras, src, side=None)— flowing two-column prose + optional side rail.table_slide(title, deck, columns, rows, src, note=None, fill=True, bold_keys=(), extra=None)— navy-header table, uniform row heights (header 34px / rows 52px, never stretched);bold_keyshighlights total rows;extra=takes a content block (e.g.heroes([...])) to fill a sparse page by composition.decision_slide(page, src)— renders a structured exhibit (buildup/breakdown/scenarios + assumptions + READ).donut_block(...),bars_chart(...),heatmap_block(...)— titled chart blocks for a page's side rail (charts ride beside their analysis; never alone on a page);charts_slide(...)for the rare full-canvas exhibit. Low-level:donut_svg(...), heatmaphcell(...).sources_register(url_set, selected_rows, src)— the numbered, clickable source appendix.render(slides)— assembles the page-turning HTML and prints the div-balance check.
What ships with it
1 file 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.
- 12d ago First seen · 92 lines · 119 tokens per session scan A d9f4fda71024
mckinsey-deck is a skill published in the GitHub repository norahe0304-art/30x-mckinsey-research-deck (39 stars, last pushed 2mo ago), licensed MIT. It adds 119 tokens to every session and 1,604 once invoked, about $0.0006 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 2026-08-30.
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