draft-response

A command that drafts a professional reply to a customer question, problem, request, or escalation.

In plain words
What is it for?
Use it for customer emails, support tickets, chat replies, feature requests, billing problems, and service outages.
Why use it?
It helps turn limited context into a suitable response without having to decide the tone, urgency, and level of detail from scratch.

Command

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.

agentmods
npx agentmods add commands/fergupa/claude_plugins/draft-response
Clone the repo
git clone --depth 1 https://github.com/fergupa/claude_plugins
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,167 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00012 $0.01167
Opus 5 $0.00006 $0.00583
Sonnet 5 $0.00002 $0.00233
Haiku 4.5 $0.00001 $0.00117

Measured 2d ago against content hash 3a81a31f65dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

draft-response 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 2d 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.

customer-support/commands/draft-response.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Draft Response

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Draft a professional, customer-facing response tailored to the situation, customer relationship, and communication context.

Usage

/draft-response <context about the customer question, issue, or request>

Examples:

  • /draft-response Acme Corp is asking when the new dashboard feature will ship
  • /draft-response Customer escalation — their integration has been down for 2 days
  • /draft-response Responding to a feature request we won't be building
  • /draft-response Customer hit a billing error and wants a resolution ASAP

Workflow

1. Understand the Context

Parse the user's input to determine:

  • Customer: Who is the communication for? Look up account context if available.
  • Situation type: Question, issue, escalation, announcement, negotiation, bad news, good news, follow-up
  • Urgency: Is this time-sensitive? How long has the customer been waiting?
  • Channel: Email, support ticket, chat, or other (adjust formality accordingly)
  • Relationship stage: New customer, established, frustrated/escalated
  • Stakeholder level: End user, manager, executive, technical, business

2. Research Context

Gather relevant background from available sources:

~~email:

  • Previous correspondence with this customer on this topic
  • Any commitments or timelines previously shared
  • Tone and style of the existing thread

~~chat:

  • Internal discussions about this customer or topic
  • Any guidance from product, engineering, or leadership
  • Similar situations and how they were handled

~~CRM (if connected):

  • Account details and plan level
  • Contact information and key stakeholders
  • Previous escalations or sensitive issues

~~support platform (if connected):

  • Related tickets and their resolution
  • Known issues or workarounds
  • SLA status and response time commitments

~~knowledge base:

  • Official documentation or help articles to reference
  • Product roadmap information (if shareable)
  • Policy or process documentation

Read the full file on GitHub · 155 lines

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. 2d ago First seen · 155 lines · 12 tokens per session scan A 3a81a31f65dc

Subscribe to this mod's changes

draft-response is a command published in the GitHub repository fergupa/claude_plugins (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 12 tokens to every session and 1,167 once invoked, about $0.0001 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 2026-08-31.