davinci-flow-engineering

davinci-flow-engineering is a skill for Claude Code from pingidentity/agent-plugins. It costs 24 tokens per session (186 once invoked), scanned A, original, MIT.

A troubleshooting guide for PingOne DaVinci, a visual system for building identity and sign-in workflows. It traces failed workflow runs and explains what happened.

In plain words
What is it for?
Use it to investigate a failed DaVinci run by username, email, interaction ID, transaction ID, workflow, or time range.
Why use it?
A workflow failure can involve several steps and services, making the cause difficult to find. This guide builds an evidence-based timeline and identifies a likely cause and fix.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ping-identity-pingone plugin — 4 skills shipped together

Good fit Use it to investigate a failed DaVinci run by username, email, interaction ID, transaction ID, workflow, or time range.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pingidentity/agent-plugins/davinci-flow-engineering
Install

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.

Any agent
npx skills add pingidentity/agent-plugins --skill davinci-flow-engineering
Clone the repo
git clone --depth 1 https://github.com/pingidentity/agent-plugins

Made for: Claude Code.

Or install ping-identity-pingone, the plugin that ships this one along with the rest of its 4 skills.

Wrote 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.

agentmods badge for davinci-flow-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/pingidentity/agent-plugins/davinci-flow-engineering/github.svg)](https://agentmods.dev/skills/pingidentity/agent-plugins/davinci-flow-engineering)
Your own site
<a href="https://agentmods.dev/skills/pingidentity/agent-plugins/davinci-flow-engineering"><img src="https://agentmods.dev/badge/skills/pingidentity/agent-plugins/davinci-flow-engineering/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.

agentmods 80×15 button for davinci-flow-engineering

Your own site · 80×15
<a href="https://agentmods.dev/skills/pingidentity/agent-plugins/davinci-flow-engineering"><img src="https://agentmods.dev/badge/skills/pingidentity/agent-plugins/davinci-flow-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 186 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.00186
Opus 5.5 $0.00010 $0.00074
Sonnet 5.5 $0.00005 $0.00037
Haiku 4.5 $0.00002 $0.00019

Measured 28d ago against content hash 7013b1343082, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

davinci-flow-engineering 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.

plugins/ping-identity-pingone/skills/davinci-flow-engineering/SKILL.md · 19 lines

What it actually says

DaVinci Flow Engineering

Route each request to the reference that owns its use case. This skill currently covers troubleshooting.

Decision Trees

Trigger Reference
Tracing, debugging, or explaining a PingOne DaVinci flow execution failure by username, email, interaction ID, transaction ID, flow, or time window. Correlates subflows and produces an evidence-based timeline, root cause, confidence rating, and remediation. references/troubleshooting.md
Changes

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.

  1. 28d ago First seen · 19 lines · 24 tokens per session scan A 7013b1343082

Subscribe to this mod's changes

davinci-flow-engineering is a skill published in the GitHub repository pingidentity/agent-plugins (3 stars, last pushed 4d ago), licensed MIT. It adds 24 tokens to every session and 186 once invoked, about $0.0001 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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