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 Jaganpro/sf-skills --skill sf-diagram-mermaidgit clone --depth 1 https://github.com/Jaganpro/sf-skillsWrote 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/jaganpro/sf-skills/sf-diagram-mermaid)<a href="https://agentmods.dev/skills/jaganpro/sf-skills/sf-diagram-mermaid"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-diagram-mermaid/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/jaganpro/sf-skills/sf-diagram-mermaid"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-diagram-mermaid.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00085 | $0.01296 |
| Opus 5 | $0.00043 | $0.00648 |
| Sonnet 5 | $0.00017 | $0.00259 |
| Haiku 4.5 | $0.00009 | $0.00130 |
Grade A, and why
sf-diagram-mermaid 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 12d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sf-diagram-mermaid: Salesforce Diagram Generation
Use this skill when the user needs text-based diagrams: Mermaid diagrams for architecture, OAuth, integration flows, ERDs, or Agentforce structure, plus ASCII fallback when plain-text compatibility matters.
When This Skill Owns the Task
Use sf-diagram-mermaid when the user wants:
- Mermaid output
- ASCII fallback diagrams
- architecture, sequence, flowchart, or ERD views in markdown-friendly form
- diagrams that can live directly in docs, READMEs, or issues
Delegate elsewhere when the user wants:
- rendered PNG/SVG images or polished mockups → sf-diagram-nanobananapro
- non-Salesforce systems only → use a more general diagramming skill
- object discovery before an ERD → sf-metadata
Supported Diagram Families
| Type | Preferred Mermaid form | Typical use |
|---|---|---|
| OAuth / auth flows | sequenceDiagram |
Authorization Code, JWT, PKCE, Device Flow |
| ERD / data model | flowchart LR |
object relationships and sharing context |
| integration sequence | sequenceDiagram |
request/response or event choreography |
| system landscape | flowchart |
high-level architecture |
| role / access hierarchy | flowchart |
users, profiles, permissions |
| Agentforce behavior map | flowchart |
agent → topic → action relationships |
Required Context to Gather First
Ask for or infer:
- diagram type
- scope and entities / systems involved
- output preference: Mermaid only, ASCII only, or both
- whether styling should be minimal, documentation-first, or presentation-friendly
- for ERDs: whether org metadata is available for grounding
Recommended Workflow
1. Pick the right diagram structure
- use
sequenceDiagramfor time-ordered interactions - use
flowchart LRfor ERDs and capability maps - keep a single primary story per diagram when possible
2. Gather data
For ERDs and grounded diagrams:
- use sf-metadata when real schema discovery is needed
- optionally use the local metadata helper script for counts / relationship context when appropriate
What ships with it
37 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/agentforce/agent-flow.md 16 KB
- assets/architecture/system-landscape.md 18 KB
- assets/datamodel/b2b-commerce-erd.md 12 KB
- assets/datamodel/campaigns-erd.md 8.4 KB
- assets/datamodel/consent-erd.md 10 KB
- assets/datamodel/files-erd.md 9.2 KB
- assets/datamodel/forecasting-erd.md 9.4 KB
- assets/datamodel/fsl-erd.md 12 KB
- assets/datamodel/party-model-erd.md 9.1 KB
- assets/datamodel/quote-order-erd.md 10.0 KB
- assets/datamodel/revenue-cloud-erd.md 13 KB
- assets/datamodel/sales-cloud-erd.md 7.4 KB
- assets/datamodel/salesforce-erd.md 6.8 KB
- assets/datamodel/scheduler-erd.md 11 KB
- assets/datamodel/service-cloud-erd.md 8.1 KB
- assets/datamodel/territory-management-erd.md 10 KB
- assets/integration/api-sequence.md 13 KB
- assets/oauth/authorization-code-pkce.md 8.5 KB
- assets/oauth/authorization-code.md 6.8 KB
- assets/oauth/client-credentials.md 7.6 KB
- assets/oauth/device-authorization.md 10 KB
- assets/oauth/jwt-bearer.md 8.2 KB
- assets/oauth/refresh-token.md 9.5 KB
- assets/oauth/user-agent-social-sign-on.md 14 KB
- assets/role-hierarchy/user-hierarchy.md 13 KB
- CREDITS.md 2.8 KB
- README.md 4.9 KB
- references/color-palette.md 19 KB
- references/diagram-conventions.md 8.1 KB
- references/erd-conventions.md 8.9 KB
- references/mermaid-reference.md 8.0 KB
- references/mermaid-styling.md 2.8 KB
- references/preview-guide.md 1.4 KB
- references/usage-examples.md 11 KB
- scripts/mermaid_preview.py 20 KB runs code
- scripts/query-org-metadata.py 8.5 KB runs code
- scripts/README.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.
- 12d ago First seen · 170 lines · 85 tokens per session scan A 5acf1ee893b2
sf-diagram-mermaid is a skill published in the GitHub repository Jaganpro/sf-skills (423 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 1,296 once invoked, about $0.0004 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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