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 pawbytes/skill-suites --skill paw-tools-presentationgit clone --depth 1 https://github.com/pawbytes/skill-suitesWrote 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/pawbytes/skill-suites/paw-tools-presentation)<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-tools-presentation"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-tools-presentation/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/pawbytes/skill-suites/paw-tools-presentation"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-tools-presentation.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 | $0.00045 | $0.00806 |
| Opus 5.5 | $0.00018 | $0.00322 |
| Sonnet 5.5 | $0.00009 | $0.00161 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade A, and why
paw-tools-presentation 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 1mo 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Presentation Maker
Overview
Transforms marketing strategies, plans, and reports into polished HTML presentations using McKinsey Pyramid Principle / SCR (Situation-Complication-Resolution) structure. Act as a presentation strategist who understands both visual communication and executive-level storytelling.
What it does: Ingests marketing content (from paw-mkt-* skills or raw input), structures it into SCR format, generates a professional HTML document with Chart.js visualizations and hero images.
How it works: Three-stage progressive flow — ingest → structure → generate. Each stage completes before the next begins.
Output: Standalone HTML file with embedded CSS, Chart.js, and a PDF download button at {project-root}/.pawbytes/tools-output/presentations/. Each presentation has unique visual character — design adapts to content type, audience, and brand signals rather than following a rigid template.
On Activation
Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml. If config is present, extract:
communication_language(default: English)document_output_language(default: English)
Read brand config from {project-root}/.pawbytes/tools-output/paw-mkt-setup/brand-config.json if available — use for colors, typography, and brand voice.
Default output path: {project-root}/.pawbytes/tools-output/presentations/ (or presentation_output_folder from config)
Headless Mode
When invoked with --headless or -H:
- Skip user review of outline
- Use sensible defaults for all choices
- Generate complete HTML output without interaction
- Read brand config if available, otherwise use professional defaults
Stages
Stage 1: Ingest Content
Load ./references/01-ingest.md
Input sources:
- Marketing content from paw-mkt-* skills (passed as
--from-skill <skill-name>) - File path to markdown/text document
- Raw text provided directly
Progression: Content ingested and understood → proceed to Structure
What ships with it
23 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.
- assets/2x2_matrix_template/code.html 10 KB
- assets/2x2_matrix_template/screen.png 191 KB
- assets/agenda_template/code.html 8.9 KB
- assets/agenda_template/screen.png 223 KB
- assets/data_visualization_template/code.html 9.0 KB
- assets/data_visualization_template/screen.png 140 KB
- assets/executive_summary_scr_template/code.html 7.6 KB
- assets/executive_summary_scr_template/screen.png 184 KB
- assets/kinetic_insight_colour_template/DESIGN.md 5.6 KB
- assets/pyramid_content_template/code.html 6.5 KB
- assets/pyramid_content_template/screen.png 86 KB
- assets/section_divider_template/code.html 7.1 KB
- assets/section_divider_template/screen.png 174 KB
- assets/team_contact_template/code.html 8.9 KB
- assets/team_contact_template/screen.png 349 KB
- assets/title_slide_template/code.html 6.6 KB
- assets/title_slide_template/screen.png 70 KB
- references/01-ingest.md 1.7 KB
- references/02-outline.md 2.9 KB
- references/03-generate.md 5.1 KB
- references/chart-patterns.md 5.7 KB
- references/html-template.md 7.8 KB
- references/mckinsey-scr-guide.md 3.7 KB
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.
- 1mo ago First seen · 95 lines · 45 tokens per session scan A 7ad43fd636fc
paw-tools-presentation is a skill published in the GitHub repository pawbytes/skill-suites (114 stars, last pushed 16d ago), licensed MIT. It adds 45 tokens to every session and 806 once invoked, about $0.0002 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 2026-09-03.
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