Borrowing it
Nothing to install: this file belongs to davidmatousek/tachi. 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/davidmatousek/tachi/main/.claude/skills/tachi-infographics/SKILL.mdgit clone --depth 1 https://github.com/davidmatousek/tachiWrote 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/davidmatousek/tachi/tachi-infographics)<a href="https://agentmods.dev/skills/davidmatousek/tachi/tachi-infographics"><img src="https://agentmods.dev/badge/skills/davidmatousek/tachi/tachi-infographics/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/davidmatousek/tachi/tachi-infographics"><img src="https://agentmods.dev/badge/skills/davidmatousek/tachi/tachi-infographics.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 | $0.00057 | $0.01156 |
| Opus 5 | $0.00028 | $0.00578 |
| Sonnet 5 | $0.00011 | $0.00231 |
| Haiku 4.5 | $0.00006 | $0.00116 |
Grade A, and why
tachi-infographics 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tachi-infographics
Domain knowledge for generating visual threat infographic specifications and images from tachi pipeline output. This skill provides the section format definitions, template-specific rendering rules, Gemini prompt construction guidelines, and visual design tokens that the threat-infographic agent uses to produce presentation-ready infographic specifications.
Domain Overview
The infographic generation pipeline transforms structured threat model output into two deliverables per template:
- Infographic Specification (
threat-{template-name}-spec.md) -- A 6-section structured document containing all data points, color coding, layout instructions, and text content needed to render a presentation-ready infographic. This is the primary deliverable. - Infographic Image (
threat-{template-name}.jpg) -- A JPEG image rendered from the specification via Gemini API. This is a best-effort deliverable, conditional on API key availability.
The pipeline supports six templates:
| Template | Purpose | Audience |
|---|---|---|
| Baseball Card | Compact risk summary dashboard with donut chart, heat map, and finding cards | Executive overview |
| System Architecture | Annotated architecture diagram with trust zones, attack surface badges, and data flows | Security architects |
| Risk Funnel | 4-tier vertical funnel showing progressive risk reduction through the pipeline | Risk management |
| MAESTRO Stack | Vertical seven-layer stack diagram showing finding counts and highest severities per MAESTRO layer (L1-L7) | CISO / security management |
| MAESTRO Heatmap | Component-by-layer grid with severity coloring at each intersection | Security engineers |
| Executive Architecture | Portrait layered architecture diagram with Critical/High threat callouts, positioned immediately after the Executive Summary in the compiled PDF | CISO / board / executive sponsors |
The first five templates share the same Sections 1-4 format (metadata, risk distribution, coverage heat map, top findings) but have a unique Section 5 (Architecture Threat Overlay) layout. Executive Architecture uses a distinct six-section structure (Metadata, Architecture Layers, Threat Callouts, Severity Distribution, Visual Layout Directives, Gemini Prompt Construction Notes) and is the only template rendered in portrait orientation — see references/executive-architecture.md for the full specification.
What ships with it
5 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.
- 11d ago First seen · 64 lines · 57 tokens per session scan A 04fa57142ffb
tachi-infographics is a skill published in the GitHub repository davidmatousek/tachi (92 stars, last pushed 29d ago), licensed Apache-2.0. It adds 57 tokens to every session and 1,156 once invoked, about $0.0003 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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