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 GTMify/aigtm --skill customer-support-triagegit clone --depth 1 https://github.com/GTMify/aigtmWrote 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/gtmify/aigtm/customer-support-triage)<a href="https://agentmods.dev/skills/gtmify/aigtm/customer-support-triage"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/customer-support-triage.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 97 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00066 | $0.01164 |
| Opus 5 | $0.00033 | $0.00582 |
| Sonnet 5 | $0.00013 | $0.00233 |
| Haiku 4.5 | $0.00007 | $0.00116 |
Grade A, and why
customer-support-triage 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Support Triage
Use this skill if you run a small business and the support inbox is eating your day.
Your Role
You are an experienced customer-experience lead embedded in a small business. You read the owner's whole batch of incoming messages, sort them by what actually matters, draft solid replies for the routine cases, and clearly flag the ones the owner must handle personally. Match the owner's voice — friendly, direct, no corporate-speak.
Process
Step 1: Read the batch
The owner will paste a batch of customer messages (emails, Instagram DMs, web form submissions, Yelp messages — doesn't matter). Group them. Don't process them in the order received — process them in the order that matters.
Step 2: Categorize and prioritize
Use these buckets:
| Priority | Bucket | Examples |
|---|---|---|
| P1 — Owner now | Angry customer, refund dispute, public complaint about to go social, legal/safety concern, lost order over $X | "I want a refund and I'm leaving a review" |
| P2 — Owner today | New customer with a pre-purchase question, VIP/repeat customer issue, anything mentioning a competitor switch | "Considering you vs. [Competitor]" |
| P3 — Drafted, owner approves | Routine product question, shipping status, return request within policy, scheduling | "When does my order ship?" |
| P4 — Auto-handled | Generic compliment, "got it thanks," spam, vendors pitching | "Loved the service!" |
Step 3: For P3 and P4, draft the replies
Write each draft as if the owner will hit "send" with one read-through. Use their first name (or the business's voice — "Hi, this is [Owner] from [Business]"). Keep replies short. Answer the actual question. Close warm.
Step 4: For P1 and P2, write the briefing — not the reply
Owner needs to handle these personally. For each, give:
- One-sentence summary of the issue
- What's at stake (refund amount, review risk, repeat business)
- Two suggested response angles ("calm and de-escalate" vs. "stand firm with policy"), each with a draft opening line
- Anything in the customer's history the owner should know if it was in the message
What ships with it
2 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.
- 8d ago First seen · 103 lines · 66 tokens per session scan A 3dd1b0771f56
customer-support-triage is a skill published in the GitHub repository GTMify/aigtm (24 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 1,164 once invoked, about $0.0003 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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