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 yuping322/financial-services-plugins-new --skill check-deckgit clone --depth 1 https://github.com/yuping322/financial-services-plugins-newWrote 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/yuping322/financial-services-plugins-new/check-deck)<a href="https://agentmods.dev/skills/yuping322/financial-services-plugins-new/check-deck"><img src="https://agentmods.dev/badge/skills/yuping322/financial-services-plugins-new/check-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/yuping322/financial-services-plugins-new/check-deck"><img src="https://agentmods.dev/badge/skills/yuping322/financial-services-plugins-new/check-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 | $0.00076 | $0.00661 |
| Opus 5 | $0.00038 | $0.00331 |
| Sonnet 5 | $0.00015 | $0.00132 |
| Haiku 4.5 | $0.00008 | $0.00066 |
Grade A, and why
check-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 9d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IB Deck Checker
Perform comprehensive QC on investment banking presentations across four dimensions.
Prerequisites
Extract presentation content before checking:
python -m markitdown presentation.pptx > content.md
For visual inspection, convert to images using the pptx skill workflow.
Check Workflow
1. Number Consistency
Extract numbers with slide references:
python scripts/extract_numbers.py content.md --check
Verify:
- Key metrics match across all slides (revenue, EBITDA, multiples)
- Calculations are correct (totals, percentages, growth rates)
- Units consistent (same scale used: millions vs billions, % vs bps)
- Unit formatting consistent (e.g., $M vs $MM, $B vs $Bn - pick one style throughout)
- Time periods aligned (FY vs LTM vs quarterly)
Flag pattern:
ISSUE: Revenue mismatch
- $500M on Slides 3, 8
- $485M on Slide 15 (DCF input)
ACTION: Reconcile figures
2. Data-Narrative Alignment
Map claims to supporting data:
- Trend statements → chart directions
- Market position claims → revenue/share data
- Factual assertions → verify accuracy
Flag contradictions:
ISSUE: Narrative contradicts data
- Slide 4: "declining margins"
- Slide 7 chart: margins 18% → 22%
ACTION: Update narrative or verify data
Check plausibility (e.g., "#1 player in $100B market" with $200M revenue = 0.2% share).
3. Language Polish
Scan for:
- Casual phrasing ("pretty good", "a lot of")
- Vague quantifiers without specifics
- Contractions, exclamation points
- Inconsistent terminology
See references/ib-terminology.md for replacement patterns.
Flag pattern:
ISSUE: Casual language (Slide 12)
- "This deal is a no-brainer"
→ "The transaction presents a compelling value proposition"
4. Formatting QC
Audit each slide for:
- Charts: Source citations, axis labels, legends
- Typography: Consistent fonts, size hierarchy
- Numbers: Consistent formatting (1,000 vs 1K)
- Dates: Consistent format throughout
- Footnotes: Proper sourcing and disclaimers
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.
- 9d ago First seen · 98 lines · 76 tokens per session scan A c8d3cb6009ec
check-deck is a skill published in the GitHub repository yuping322/financial-services-plugins-new (17 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 76 tokens to every session and 661 once invoked, about $0.0004 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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