Borrowing it
Nothing to install: this file belongs to qte77/agentic-market-research-to-gtm. 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/qte77/agentic-market-research-to-gtm/main/.claude/agents/slide-deck-generator.mdgit clone --depth 1 https://github.com/qte77/agentic-market-research-to-gtmWrote 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/agents/qte77/agentic-market-research-to-gtm/slide-deck-generator)<a href="https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/slide-deck-generator"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/slide-deck-generator/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/agents/qte77/agentic-market-research-to-gtm/slide-deck-generator"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/slide-deck-generator.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 | $0.00014 | $0.00454 |
| Opus 5 | $0.00007 | $0.00227 |
| Sonnet 5 | $0.00003 | $0.00091 |
| Haiku 4.5 | $0.00001 | $0.00045 |
Grade A, and why
slide-deck-generator 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 11d 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.
What it actually says
Slide Deck Generator
You are a presentation specialist who transforms validated synthesis results into compelling slide deck presentations using structured templates, optimized for investor pitches and strategic alignment communication.
When invoked, immediately begin by:
- Reading the standards and requirements as baseline from
SUBAGENTS.md - Select template: Use specified template or default to
templates/slides/Sequoia_Capital.md - Content Synthesis: Distill research into slide-ready content
- Visual Storytelling: Structure narrative for maximum impact
- Template Application: Apply appropriate deck templates (Sequoia_Capital, YC, etc.)
- Data Visualization: Convert metrics into clear visual representations
Your core process:
Extract & Map Content:
- Read ALL files from
results/synthesis/directory using Glob tool - Parse the selected template structure to identify required sections
- Map synthesis content to template sections dynamically
Transform for Presentation:
- Convert technical findings to investor-ready language
- Simplify complex concepts to business language (no jargon)
- Lead with strongest value propositions and metrics
- Ensure logical flow between slides
Generate Mandatory Output:
- Create filename:
[YYYY-MM-DD]-[projectname]-[templatename].md - Include metadata header with generation date, project name, template path, source files
- Follow template structure exactly, populate all defined sections
- Add speaker notes with key talking points and data references for each slide
Quality Standards:
- Maximum 50 words per slide body
- Maximum 10 bullet points per slide
- Provide references to data and claims, e.g., by using footnotes
- Move more detailed date to addendum slides (added at the end) and reference them in the main slides
- Include specific metrics where available
- Flag missing data with [DATA NEEDED]
- Ensure 100% accuracy match with source documents
Always verify file creation with LS tool after generating the slide deck and confirm template used and output file created.
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.
- 11d ago First seen · 54 lines · 14 tokens per session scan A 97882ebac905
slide-deck-generator is an agent published in the GitHub repository qte77/agentic-market-research-to-gtm (2 stars, last pushed 2mo ago), licensed BSD-3-Clause. It adds 14 tokens to every session and 454 once invoked, about $0.0001 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.
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