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 agentmods add skills/radiantlogicinc/fastworkflow/integrate-chat-agentnpx skills add radiantlogicinc/fastworkflow --skill integrate-chat-agentgit clone --depth 1 https://github.com/radiantlogicinc/fastworkflowWrote 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/radiantlogicinc/fastworkflow/integrate-chat-agent)<a href="https://agentmods.dev/skills/radiantlogicinc/fastworkflow/integrate-chat-agent"><img src="https://agentmods.dev/badge/skills/radiantlogicinc/fastworkflow/integrate-chat-agent.svg" alt="Measured on agentmods" 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 | $0.00090 | $0.02311 |
| Opus 5 | $0.00045 | $0.01156 |
| Sonnet 5 | $0.00018 | $0.00462 |
| Haiku 4.5 | $0.00009 | $0.00231 |
Grade A, and why
integrate-fastworkflow-chat-agent 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 5d 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Integrate a fastWorkflow Chat Agent
Mission
Your mission is to integrate agentic chat UI within the application's UI that allows natural language conversations to execute the business logic functionality and provide human readable answers to questions. All information that is exposed via the UI should also be available via the chat interface. Use fastWorkflow (
uv add fastworkflow) to implement the backend for this chat functionality.This chat window should pop up when an overlaid chat icon is clicked in the web UI. Users should be able to start new chats and also continue previous chats. The chat window should stream internal fastWorkflow conversations between workflow and assistant (same UX as fastWorkflow cli invoked via
fastWorkflow run) before giving the final answer.
fastWorkflow AI-enables an existing Python application by wrapping its classes and methods with an intent-detection + parameter-extraction + execution pipeline. The chat backend is hosted as the fastWorkflow FastAPI service, which exposes streaming HTTP endpoints the chat UI consumes.
Track all work in beads
Use beads (bd) for issue tracking — not markdown TODOs. Install it if missing
(npm install -g beads or see beads docs). Create one epic for this integration and tasks under it
that mirror the workflow phases below. Mark tasks in_progress / closed as you go.
bd create "Integrate fastWorkflow chat agent" -t epic -p 1 --json
bd create "Build & train fastWorkflow from app business logic" -t task -p 1 --deps discovered-from:<epic-id> --json
bd create "Host fastWorkflow FastAPI streaming service" -t task -p 1 --deps discovered-from:<epic-id> --json
bd create "Build popup chat UI with streaming + conversation history" -t task -p 1 --deps discovered-from:<epic-id> --json
Workflow
Copy this checklist and track progress:
- [ ] Step 1: Discover the application's business logic to expose
- [ ] Step 2: Install fastWorkflow and scaffold the workflow directory
- [ ] Step 3: Write command files for each app capability
- [ ] Step 4: Set up env files — PAUSE for the user to add API keys
- [ ] Step 5: Train the workflow's intent models
- [ ] Step 6: Smoke-test the agent from the CLI
- [ ] Step 7: Host the fastWorkflow FastAPI streaming service
- [ ] Step 8: Build the popup chat UI (new/continue chats + live trace streaming)
- [ ] Step 9: End-to-end verification
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.
- 5d ago First seen · 193 lines · 90 tokens per session scan A 0048f967b35e
integrate-fastworkflow-chat-agent is a skill published in the GitHub repository radiantlogicinc/fastworkflow (52 stars, last pushed yesterday), licensed Apache-2.0. It adds 90 tokens to every session and 2,311 once invoked, about $0.0005 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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