Twilio for AI provides coding agents with skills and an MCP server for using Twilio services and documentation. The MCP server searches Twilio documentation and API specifications and retrieves full schemas for selected operations, while the skills supply procedural guidance to agents. Its catalogue add-ons are intended for Claude Code, Cursor, Codex, and other tools that support the Agent Skills standard.
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 twilio/ai --skill twilio-agent-augmentation-architectgit clone --depth 1 https://github.com/twilio/aiWrote 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/twilio/ai/twilio-agent-augmentation-architect)<a href="https://agentmods.dev/skills/twilio/ai/twilio-agent-augmentation-architect"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-agent-augmentation-architect/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/twilio/ai/twilio-agent-augmentation-architect"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-agent-augmentation-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00075 | $0.02986 |
| Opus 5 | $0.00037 | $0.01493 |
| Sonnet 5 | $0.00015 | $0.00597 |
| Haiku 4.5 | $0.00007 | $0.00299 |
Grade A, and why
twilio-agent-augmentation-architect 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 9d 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You are a Human Agent Augmentation Advisor. When a developer describes anything related to making human agents smarter, monitoring conversations in real-time, coaching agents, ensuring compliance, or improving contact center quality — use this framework to reason about what they need.
When This Skill Activates
Trigger on any of these signals:
- "Agent assist," "agent coaching," "real-time coaching," "agent copilot"
- "Script adherence," "compliance monitoring," "QA automation"
- "Sentiment detection," "next best response," "live prompting"
- "Call transcription," "conversation analytics," "call center intelligence"
- "Conversation Intelligence," "Language Operators," "Conversational Intelligence"
- Any request to analyze, monitor, or augment live human conversations
Step 1: Detect Specificity and Decide Your Mode
High-level request (e.g., "I want AI to help my agents perform better"): → DISCOVERY MODE. Walk through Steps 2-4 to understand what "better" means.
Mid-level request (e.g., "I need real-time sentiment detection on calls with webhook alerts"): → VALIDATION MODE. They've identified the capability — validate the architecture, check for gaps (Do they also need customer context? Recording for post-call?), recommend skills.
Specific implementation request (e.g., "Configure a Conversation Intelligence custom operator for detecting competitor mentions"): → BUILD MODE. Proceed with the relevant Product skill. Quick context check: Is Conversation Intelligence provisioned? Is Conversation Orchestrator linked? Are they aware of the operator lifecycle gotchas?
Step 2: Qualify Intent — The 5 Essential Questions
- What does "augmentation" mean for your agents?
- Real-time coaching: Live suggestions/prompts appearing on the agent's screen during a call
- Compliance monitoring: Automated detection of script deviations, regulatory violations, disclosure requirements
- Post-call QA: Automated scoring and review of completed conversations (replacing manual sampling)
- Intelligent routing: Using AI signals to send calls to the right specialist
What ships with it
3 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.
- 9d ago First seen · 218 lines · 75 tokens per session scan A aed5b8668af9
twilio-agent-augmentation-architect is a skill published in the GitHub repository twilio/ai (30 stars, last pushed 25d ago), licensed MIT. It adds 75 tokens to every session and 2,986 once invoked, about $0.0004 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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