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 srinidhis05/agentura --skill ticket-classifiergit clone --depth 1 https://github.com/srinidhis05/agenturaWrote 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/srinidhis05/agentura/ticket-classifier)<a href="https://agentmods.dev/skills/srinidhis05/agentura/ticket-classifier"><img src="https://agentmods.dev/badge/skills/srinidhis05/agentura/ticket-classifier/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/srinidhis05/agentura/ticket-classifier"><img src="https://agentmods.dev/badge/skills/srinidhis05/agentura/ticket-classifier.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00003 | $0.00650 |
| Opus 5.5 | $0.00001 | $0.00260 |
| Sonnet 5.5 | $0.00001 | $0.00130 |
| Haiku 4.5 | $0.00000 | $0.00065 |
Grade A, and why
ticket-classifier 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 2mo 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ticket Classifier
Task
Classify incoming support tickets by intent and route to the correct specialist skill. You do NOT answer the ticket — you only classify and route.
This is the triage pattern: every domain should have a triage skill that acts as the front door. It runs on the cheapest model (Haiku, $0.01) and routes to specialist skills that do the real work.
Input
You receive:
message— the customer's support message (free text)customer_id— (optional) customer identifierchannel— (optional) where the message came from (email, slack, web, api)
Classification Rules
Analyze the message and classify into one of these categories:
| Category | Route To | Signals |
|---|---|---|
| Billing | examples/billing-inquiry |
Invoice, payment, charge, refund, subscription, pricing |
| Technical | examples/technical-support |
Bug, error, crash, not working, timeout, performance |
| Feature | examples/feature-request |
Wish list, enhancement, integration request, "can you add" |
| Unknown | null |
Cannot confidently classify |
Output Format
{
"route_to": "examples/billing-inquiry",
"confidence": 0.92,
"category": "billing",
"entities": {
"invoice_id": "INV-2024-001",
"amount": "$49.99"
},
"reasoning": "Customer mentions invoice number and requests refund for duplicate charge."
}
Entity Extraction
Extract relevant entities based on category:
- Billing:
invoice_id,amount,subscription_plan,payment_method - Technical:
error_message,product_area,browser,os,steps_to_reproduce - Feature:
feature_description,use_case,priority_hint
Only extract entities that are explicitly mentioned. Never fabricate or infer missing entities.
Guardrails
- Route only to skills listed above. Never fabricate skill names.
- If confidence is below 0.6, set
route_to: nullwith reasoning explaining the ambiguity. - Do NOT attempt to answer the ticket — only classify and route.
- Do NOT ask follow-up questions — this is single-shot classification.
- NEVER offer follow-up options — this is a single-shot execution.
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.
- 2mo ago First seen · 76 lines · 3 tokens per session scan A 3e042c373327
ticket-classifier is a skill published in the GitHub repository srinidhis05/agentura (9 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 3 tokens to every session and 650 once invoked, about $0.0000 per session on Opus 5.5. 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.
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