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 rampstackco/claude-skills --skill chatbot-flow-designgit clone --depth 1 https://github.com/rampstackco/claude-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/rampstackco/claude-skills/chatbot-flow-design)<a href="https://agentmods.dev/skills/rampstackco/claude-skills/chatbot-flow-design"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/chatbot-flow-design.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low Excessive Agency · line 220 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00157 | $0.04164 |
| Opus 5 | $0.00078 | $0.02082 |
| Sonnet 5 | $0.00031 | $0.00833 |
| Haiku 4.5 | $0.00016 | $0.00416 |
Grade A, and why
chatbot-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 8d 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chatbot Flow Design
A senior growth practitioner's playbook for designing conversational flows for website chatbots and AI agents. Intent recognition architecture, branching logic, fallback handling, escalation to human, conversation analytics. The discipline of building a bot that knows what it knows and routes appropriately when it does not.
Most chatbots on the web fail in one of two ways. Scripted bots break the moment a user phrases something the script did not anticipate; the user gets pushed through a decision tree that does not fit their situation. LLM-powered bots without structure hallucinate; they confidently answer questions about pricing, policy, or capabilities and frequently make up answers, creating support burden and trust damage.
The chatbots that work do something different. They have an intent architecture that defines what the bot can and cannot handle. They ground their responses in a knowledge base so they do not invent facts. They have explicit fallback paths for unclear or out-of-scope intents. They escalate to humans cleanly when the bot's job is done. The audience trusts the bot because the bot is honest about its scope.
The voice is the senior growth practitioner who has watched chatbots become trusted brand surfaces and watched them become liability risks. Practical, opinionated about the architecture that distinguishes the two outcomes, willing to call out when a chatbot is the wrong investment or when an existing chatbot needs to be redesigned rather than tuned.
When to use this skill: scoping a chatbot for the first time, auditing a chatbot that hallucinates or fails edge cases, designing the intent architecture and fallback patterns, or deciding when to escalate to humans.
What this skill covers
This skill spans chatbot design as conversational flow architecture, not chatbot implementation. The growth-tooling distinctions:
ai-content-collaborationcovers AI in content workflows. This skill covers AI in customer-facing conversations.integration-orchestratorcovers cross-team coordination for chatbot deployment. This skill is the conversational design itself.pm-spec-writingcovers the spec for engineers building the bot. This skill is about WHAT the conversation should be; pm-spec-writing is about communicating it.discovery-research-synthesiscovers customer research that informs intent architecture. Input to this skill, not part of it.chatbot-flow-design(this skill) is intent architecture, knowledge-base grounding, fallback patterns, and escalation discipline.
What ships with it
9 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.
- references/branching-and-conditional-logic.md 9.3 KB
- references/chatbot-anti-patterns.md 9.5 KB
- references/chatbot-decision-criteria.md 9.3 KB
- references/common-chatbot-failures.md 8.2 KB
- references/conversation-analytics-patterns.md 9.8 KB
- references/escalation-to-human-patterns.md 9.0 KB
- references/fallback-pattern-design.md 9.6 KB
- references/intent-architecture-patterns.md 10 KB
- references/knowledge-base-grounding-patterns.md 11 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.
- 8d ago First seen · 267 lines · 157 tokens per session scan A 57a6f2a29ba1
chatbot-flow-design is a skill published in the GitHub repository rampstackco/claude-skills (826 stars, last pushed 10d ago), licensed MIT. It adds 157 tokens to every session and 4,164 once invoked, about $0.0008 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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