fireworks-tech-graph is an agent skill that turns natural-language descriptions into validated technical diagrams and related visual formats. It is used to create SVG, PNG, animated GIF, and offline interactive HTML diagrams, including UML and AI or agent workflows.
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 yizhiyanhua-ai/fireworks-tech-graph --skill fireworks-tech-graphgit clone --depth 1 https://github.com/yizhiyanhua-ai/fireworks-tech-graphWrote 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/yizhiyanhua-ai/fireworks-tech-graph/fireworks-tech-graph)<a href="https://agentmods.dev/skills/yizhiyanhua-ai/fireworks-tech-graph/fireworks-tech-graph"><img src="https://agentmods.dev/badge/skills/yizhiyanhua-ai/fireworks-tech-graph/fireworks-tech-graph/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/yizhiyanhua-ai/fireworks-tech-graph/fireworks-tech-graph"><img src="https://agentmods.dev/badge/skills/yizhiyanhua-ai/fireworks-tech-graph/fireworks-tech-graph.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 | $0.00049 | $0.01196 |
| Opus 5.5 | $0.00020 | $0.00478 |
| Sonnet 5.5 | $0.00010 | $0.00239 |
| Haiku 4.5 | $0.00005 | $0.00120 |
Grade A, and why
fireworks-tech-graph 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 13d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fireworks Tech Graph
One portable Agent Skill for Codex and Claude Code. SVG is the canonical artifact; PNG, offline HTML and supported GIF motion are output routes. Preserve requested labels, topology and meaning; a successful command is not a visual quality verdict.
Locate and select
Resolve the directory containing this file as SKILL_ROOT. Use
${CLAUDE_SKILL_DIR} in Claude Code or the absolute directory in Codex's loaded
skill metadata. Do not assume cwd or a previous shell variable persists.
Use the installed version for the task. Run version for source/version questions
and doctor when diagnosing a missing renderer, font or dependency; do not make
installation, updates or a complete test suite prerequisites for every diagram.
SKILL_ROOT="${CLAUDE_SKILL_DIR:-/absolute/path/from-codex-skill-metadata}"
python3 "$SKILL_ROOT/scripts/fireworks.py" version
- Honor the user's diagram type, content and style; choose sensible reversible details from the brief. Ask only for a material missing engineering fact or a choice the user explicitly reserved. A request to draw includes local rendering.
- Styles 1–7 and 9–12 have JSON generators. Style 8 (Dark Luxury) remains AI-authored SVG: use its style reference, then the same validation/export gates.
- Default to Style 1 Flat Icon when no user/workspace preference applies. Load the actual matching file from the style matrix. Read other styles only for a requested comparison.
- Styles 9–12 default to C4, cloud, event and observability semantic contracts. Validate facts before layout; do not invent responsibilities, protocols or metrics.
- Adapt an existing valid SVG directly when appropriate. JSON generation is not required for every edit. Use diagram/layout guidance and icons only for the relevant type or symbols.
Generate and check
Reuse the user's current brief and artifact; an extra planning document is optional.
For JSON work, select text_policy: "strict" when all labels must be visible exactly.
The compatible report default preserves full labels in SVG metadata and reports
any visible truncation. Resolve that warning before claiming complete exact text.
For polished work apply the composition contract.
What ships with it
60 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.
- agents/openai.yaml 389 B
- assets/icons/cloud/manifest-v1.json 1.6 KB
- assets/samples/sample-style1-flat.gif 263 KB
- assets/samples/sample-style1-flat.png 209 KB
- assets/samples/sample-style10-cloud-fabric.gif 333 KB
- assets/samples/sample-style10-cloud-fabric.png 266 KB
- assets/samples/sample-style11-event-transit.gif 180 KB
- assets/samples/sample-style11-event-transit.png 221 KB
- assets/samples/sample-style12-ops-pulse.gif 349 KB
- assets/samples/sample-style12-ops-pulse.png 258 KB
- assets/samples/sample-style2-dark.gif 379 KB
- assets/samples/sample-style2-dark.png 266 KB
- assets/samples/sample-style3-blueprint.gif 277 KB
- assets/samples/sample-style3-blueprint.png 231 KB
- assets/samples/sample-style4-notion.gif 206 KB
- assets/samples/sample-style4-notion.png 140 KB
- assets/samples/sample-style5-glass.gif 368 KB
- assets/samples/sample-style5-glass.png 247 KB
- assets/samples/sample-style6-claude.gif 241 KB
- assets/samples/sample-style6-claude.png 198 KB
- assets/samples/sample-style7-openai.gif 161 KB
- assets/samples/sample-style7-openai.png 167 KB
- assets/samples/sample-style8-dark-luxury.gif 229 KB
- assets/samples/sample-style8-dark-luxury.png 131 KB
- assets/samples/sample-style9-c4-review-canvas.gif 201 KB
- assets/samples/sample-style9-c4-review-canvas.png 254 KB
- assets/samples/showcase-12-styles.gif 997 KB
- assets/samples/showcase-12-styles.png 631 KB
- assets/samples/showcase-gif-manifest.json 4.0 KB
- assets/sponsors/aigocode.png 62 KB
- examples/interactive-architecture.html 27 KB
- examples/README.md 562 B
- references/composition-quality-contract.md 4.2 KB
- references/diagram-layout-reference.md 24 KB
- references/icons.md 14 KB
- references/motion-effects.md 22 KB
- references/png-export.md 2.1 KB
- references/style-1-flat-icon.md 3.0 KB
- references/style-10-cloud-fabric.md 3.6 KB
- references/style-11-event-transit.md 3.2 KB
- references/style-12-ops-pulse.md 3.0 KB
- references/style-2-dark-terminal.md 2.8 KB
- references/style-3-blueprint.md 3.2 KB
- references/style-4-notion-clean.md 2.8 KB
- references/style-5-glassmorphism.md 3.6 KB
- references/style-6-claude-official.md 6.8 KB
- references/style-7-openai.md 6.7 KB
- references/style-8-dark-luxury.md 7.5 KB
- references/style-9-c4-review-canvas.md 3.3 KB
- references/style-diagram-matrix.md 9.2 KB
- references/svg-layout-best-practices.md 4.1 KB
- references/visual-quality.md 2.5 KB
- schemas/architecture-v1.schema.json 288 B
- schemas/diagram-v1.schema.json 6.9 KB
- schemas/sequence-v1.schema.json 280 B
- schemas/workflow-v1.schema.json 308 B
- scripts/composition_quality.py 9.4 KB runs code
- scripts/diagram_ir.py 8.4 KB runs code
- scripts/export-interactive-html.py 182 B runs code
- scripts/fireworks_geometry.py 14 KB runs code
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.
- 13d ago Changed · -401 lines · -79 tokens per session e499af84ccb5
- 2mo ago First seen · 501 lines · 128 tokens per session scan A fcb6ea52730a
fireworks-tech-graph is a skill published in the GitHub repository yizhiyanhua-ai/fireworks-tech-graph (11,931 stars, last pushed 14d ago), licensed MIT. It adds 49 tokens to every session and 1,196 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 2026-08-30.
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