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 flowzap-xyz/flowzap-mcp --skill flowzap-diagramsgit clone --depth 1 https://github.com/flowzap-xyz/flowzap-mcpWrote 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/flowzap-xyz/flowzap-mcp/flowzap-diagrams)<a href="https://agentmods.dev/skills/flowzap-xyz/flowzap-mcp/flowzap-diagrams"><img src="https://agentmods.dev/badge/skills/flowzap-xyz/flowzap-mcp/flowzap-diagrams/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/flowzap-xyz/flowzap-mcp/flowzap-diagrams"><img src="https://agentmods.dev/badge/skills/flowzap-xyz/flowzap-mcp/flowzap-diagrams.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 | $0.00070 | $0.04554 |
| Opus 5 | $0.00035 | $0.02277 |
| Sonnet 5 | $0.00014 | $0.00911 |
| Haiku 4.5 | $0.00007 | $0.00455 |
Grade A, and why
flowzap-diagrams 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 4d 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 — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FlowZap Diagram Skill
Generate valid FlowZap Code (.fz) diagrams from natural-language requests,
validate them, and return shareable FlowZap playground URLs.
This skill is designed to be paired with the flowzap-mcp server. The skill
gives the agent FlowZap-specific diagram knowledge and output rules; the MCP
server provides the actual tools.
Trust and privacy summary
- This skill bundle is documentation only:
SKILL.mdplus reference files. It does not execute code by itself. - The
flowzap-mcpserver runs locally on the user's machine over stdio. - Outbound requests are restricted to
https://flowzap.xyz. - Raw HTTP logs, OpenAPI specs, and code snippets are parsed locally inside the MCP package. Only generated FlowZap Code is sent to FlowZap public endpoints when validation or playground creation is requested.
When to use this skill (auto-invocation triggers)
The agent MUST automatically invoke the FlowZap MCP tools — without asking the user — whenever any of the following intents are detected:
Diagram generation → call flowzap_validate then flowzap_create_playground:
- "Generate / create / draw / make a diagram (workflow / flowchart / sequence / architecture / process map) to illustrate ..."
- "Visualize / map / chart / show me the flow of ..."
- User pastes HTTP logs, OpenAPI specs, or code and wants them visualised → use
flowzap_artifact_to_diagram. - User wants to compare two diagram versions →
flowzap_diff. Patch an existing diagram →flowzap_apply_change.
Compliance review → model the system as a FlowZap data-flow diagram, then call flowzap_create_playground AND flowzap_compliance_check:
- "Verify / check / audit the compliance of my app/system/architecture to SOC2 / GDPR / PIPL ..."
- "Run a privacy / security / regulatory review of ..."
- "Is this flow GDPR-compliant?" / "Do a SOC2 audit on ..."
If the user does not provide FlowZap Code for a compliance request, the agent MUST first generate a FlowZap data-flow diagram modeling the system being audited (lanes for actors/services, nodes for steps, edges for data flows), then run both flowzap_create_playground and flowzap_compliance_check on that same code.
What ships with it
1 file 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.
- 4d ago Changed · +6 tokens per session b1a259e2bd34
- 12d ago First seen · 379 lines · 64 tokens per session scan A 4422d7ddb1a8
flowzap-diagrams is a skill published in the GitHub repository flowzap-xyz/flowzap-mcp (5 stars, last pushed 5d ago), licensed MIT. It adds 70 tokens to every session and 4,554 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 2026-08-31.
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