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 wentong2022-arch/flowforge-skill --skill flowforgegit clone --depth 1 https://github.com/wentong2022-arch/flowforge-skillWrote 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/wentong2022-arch/flowforge-skill/flowforge)<a href="https://agentmods.dev/skills/wentong2022-arch/flowforge-skill/flowforge"><img src="https://agentmods.dev/badge/skills/wentong2022-arch/flowforge-skill/flowforge/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/wentong2022-arch/flowforge-skill/flowforge"><img src="https://agentmods.dev/badge/skills/wentong2022-arch/flowforge-skill/flowforge.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 | $0.00153 | $0.03020 |
| Opus 5.5 | $0.00061 | $0.01208 |
| Sonnet 5.5 | $0.00031 | $0.00604 |
| Haiku 4.5 | $0.00015 | $0.00302 |
Grade A, and why
FlowForge 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FlowForge — Draw.io Diagram Skill
Generate professional diagrams as draw.io XML files. Supports 13 diagram types: flows, comparisons, layer stacks, cycles, trees, hub-and-spoke, columns, matrices, funnels, timelines, sequence diagrams, and swimlanes.
Usage
/FlowForge "OAuth 2.0 authorization code flow"
/FlowForge path/to/design-doc.md
/FlowForge "CI/CD pipeline" --type loop
/FlowForge "Monolith vs Microservices" --type compare --theme morandi
/FlowForge "System Architecture" --lang en
Workflow
Step 1: Understand & Propose (one confirmation, not three)
If given a document: read it fully, identify 1–3 places that benefit from a diagram, and for each note the insert position, the topic (one sentence), and the recommended type (see Diagram Type Reference).
If given a concept directly: identify the core message and pick the type via the Selection Guide.
Then present one combined proposal and ask for confirmation once. The proposal contains:
- Diagram type and theme (default: tech-blue; other options: morandi, mint, terracotta, indigo)
- An ASCII sketch: all nodes with labels, arrow directions and labels, grouping, color-role tags, layout direction
Example sketch:
Direction: left-to-right | Nodes: 4 | Type: flow | Theme: tech-blue
[primary] Code Commit → [process] Build → [process] Test → [accent] Deploy
↓ (fail)
[error] Alert
Skip the confirmation entirely when the request already pins everything down (user gave --type/--theme or an unambiguous description), or when no human can respond (subagent, batch, CI). In that case proceed with defaults and state your assumptions in the final report.
Step 2: Generate draw.io XML
- Read references/layouts.md — the layout algorithm for the chosen type — and compute all coordinates from its formulas
- Apply theme colors from themes.md
- Use element templates from xml-reference.md
- For an unfamiliar type, read the matching example file listed in examples.md
What ships with it
12 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.
- examples.md 3.2 KB
- examples/compare-monolith-vs-micro.drawio 7.4 KB
- examples/flow-cicd.drawio 3.0 KB
- examples/hub-agent-capabilities.drawio 5.5 KB
- examples/loop-ml-training.drawio 3.4 KB
- examples/timeline-llm-history.drawio 6.2 KB
- examples/tree-storage-decision.drawio 6.4 KB
- references/layouts.md 7.9 KB
- scripts/render.sh 737 B runs code
- scripts/validate.py 12 KB runs code
- themes.md 7.3 KB
- xml-reference.md 6.4 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 · 241 lines · 153 tokens per session scan A 848a71f649bf
FlowForge is a skill published in the GitHub repository wentong2022-arch/flowforge-skill (139 stars, last pushed 3mo ago), licensed MIT. It adds 153 tokens to every session and 3,020 once invoked, about $0.0006 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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