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 pingidentity/agent-plugins --skill davinci-flow-designgit clone --depth 1 https://github.com/pingidentity/agent-pluginsWrote 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/pingidentity/agent-plugins/davinci-flow-design)<a href="https://agentmods.dev/skills/pingidentity/agent-plugins/davinci-flow-design"><img src="https://agentmods.dev/badge/skills/pingidentity/agent-plugins/davinci-flow-design/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/pingidentity/agent-plugins/davinci-flow-design"><img src="https://agentmods.dev/badge/skills/pingidentity/agent-plugins/davinci-flow-design.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 | $0.00073 | $0.00533 |
| Opus 5.5 | $0.00029 | $0.00213 |
| Sonnet 5.5 | $0.00015 | $0.00107 |
| Haiku 4.5 | $0.00007 | $0.00053 |
Grade A, and why
davinci-flow-design 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 28d 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.
What it actually says
DaVinci Flow Design
Design and build PingOne DaVinci flows: connector selection and sequencing, logical-operator branching, variables, subflow composition, and error paths. Produces flow designs and connector wiring as artifacts; live execution work belongs to the DaVinci console.
When to use
- Build or review a DaVinci flow: login, registration with email verification, MFA enrollment, risk-driven step-up, progressive profiling, social login.
- Choose connector capabilities, wire branching, declare variables, and compose subflows.
- Design error paths: user error, system error, and security-block categories.
- Prepare flows, flow policies, and connector credentials for promotion between environments.
When NOT to use
- Diagnosing what happened in a flow execution that already ran — use the DaVinci console's execution history and debug logging (DaVinci flows documentation).
- Setting up a PingOne environment, organization, or application — use PingOne documentation.
- Embedding a flow in an app via SDK — use the client-platform integration documentation for your application stack.
Routing
| Request signal | Start with |
|---|---|
| Flow model, logical operators, connectors, variables, versioning, invocation methods | references/flow-model.md |
| Login, registration, step-up, progressive-profiling, error-handling patterns | references/flow-patterns.md |
| Registration + email verification, MFA enrollment, Protect-driven step-up | references/registration-and-mfa.md |
| Passkey / passwordless flows and recovery paths | references/passkey-flows.md |
| Promoting flows, flow policies, and connector credentials | references/flow-promotion.md |
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.
- 28d ago First seen · 37 lines · 73 tokens per session scan A 90b559291f7f
davinci-flow-design is a skill published in the GitHub repository pingidentity/agent-plugins (3 stars, last pushed 4d ago), licensed MIT. It adds 73 tokens to every session and 533 once invoked, about $0.0003 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 2026-09-19.
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