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 build-with-dhiraj/ai-workflow-framework-portability-kit --skill flowisegit clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kitWrote 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/build-with-dhiraj/ai-workflow-framework-portability-kit/flowise)<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/flowise"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/flowise/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/build-with-dhiraj/ai-workflow-framework-portability-kit/flowise"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/flowise.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 | $0.00155 | $0.01893 |
| Opus 5.5 | $0.00062 | $0.00757 |
| Sonnet 5.5 | $0.00031 | $0.00379 |
| Haiku 4.5 | $0.00015 | $0.00189 |
Grade A, and why
flowise 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flowise
Flowise is a visual builder for LLM applications. Flows are stored as a node graph and executed server-side, so the product's real behaviour lives in a graph rather than in a repo, and reading that graph is a genuine skill rather than an inconvenience.
Lead with this, it changes most answers
The project was archived on 13 August 2026 and is read-only. The final release is 3.1.4
(29 July 2026). The core team leaves Discord and GitHub on 31 August 2026, and the security
policy was replaced with a notice that vulnerability reports are no longer accepted.
Three consequences worth stating before giving anyone advice:
- Pin
3.1.3, not3.1.4. The final release ships a Docker image reported not to boot on a fresh volume (EACCESon/root/.flowise, missing@smithy/eventstream-codec,this.db.exec is not a function). It will never be fixed.3.1.3(25 June 2026) is the last usable release. - "Just fork it, it's Apache 2.0" is not accurate. Since
3.0.1the repo is dual-licensed:packages/server/src/enterprise/**andIdentityManager.tssit under a FlowiseAI commercial licence.IdentityManager.tsis load-bearing for auth and route mounting, so a fork intended to carry auth needs that resolved first. The README still says plain Apache 2.0;LICENSE.mdis the operative document. - Nothing marked "will be removed in a future release" ever will be. 46 nodes carry a DEPRECATING badge, including the whole LlamaIndex integration and the legacy agents. They are now permanent. That cuts both ways: no forced migration, and no fixes either.
Being frozen has one upside worth using: the facts below stop moving, so they can be stated precisely rather than hedged.
Work out which question you are answering
| The user wants to | Read |
|---|---|
| Understand what an existing flow actually does, or extract its prompts and logic | references/audit.md |
| Work out why flow A works and flow B does not, and what to copy | references/transfer.md |
| Design or modify a flow: node choice, branching, state, structured output | references/agentflow-v2.md |
| Call a flow from code, stream it, embed it, or move it between environments | references/api.md |
| Deploy, upgrade, scale, secure, or diagnose an instance | references/operate.md |
What ships with it
7 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.
- 1mo ago First seen · 125 lines · 155 tokens per session scan A 5acc84331986
flowise is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (5 stars, last pushed 21d ago), licensed MIT. It adds 155 tokens to every session and 1,893 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 2026-09-21.
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