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 agentmods add rules/raphael-florestasm/mcp-glpi/exemplogit clone --depth 1 https://github.com/raphael-florestasm/mcp-glpiWrote 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/rules/raphael-florestasm/mcp-glpi/exemplo)<a href="https://agentmods.dev/rules/raphael-florestasm/mcp-glpi/exemplo"><img src="https://agentmods.dev/badge/rules/raphael-florestasm/mcp-glpi/exemplo.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.03392 |
| Opus 5 | $0.00000 | $0.01696 |
| Sonnet 5 | $0.00000 | $0.00678 |
| Haiku 4.5 | $0.00000 | $0.00339 |
Grade A, and why
exemplo scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get(endpoint, headers=headers) How it starts
The opening of the file, as written. The whole thing — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Esse é um exemplo de código:
import requests import json
class GLPIClient: def init(self, url, app_token, user_token, entity_id=0): """ Inicializa o cliente GLPI
Args:
url: URL base da instância GLPI
app_token: Token da aplicação
user_token: Token do usuário
entity_id: ID da entidade padrão
"""
self.url = url.rstrip('/')
self.app_token = app_token
self.user_token = user_token
self.session_token = None
self.entity_id = entity_id
def init_session(self):
"""Inicia uma sessão no GLPI e obtém o session-token"""
endpoint = f"{self.url}/apirest.php/initSession"
headers = {
"Content-Type": "application/json",
"Authorization": f"user_token {self.user_token}",
"App-Token": self.app_token
}
response = requests.get(endpoint, headers=headers)
if response.status_code == 200:
data = response.json()
self.session_token = data.get('session_token')
return self.session_token
else:
raise Exception(f"Falha ao iniciar sessão: {response.status_code} - {response.text}")
def get_headers(self):
"""Retorna os headers padrão para requisições autenticadas"""
if not self.session_token:
raise Exception("Sessão não iniciada. Execute init_session() primeiro")
return {
"Content-Type": "application/json",
"Session-Token": self.session_token,
"App-Token": self.app_token
}
def search_tickets(self, search_params=None):
"""
Pesquisa tickets com base nos parâmetros fornecidos
Args:
search_params: Dicionário com parâmetros de pesquisa
"""
endpoint = f"{self.url}/apirest.php/Ticket/"
headers = self.get_headers()
if search_params:
query_string = "&".join([f"{k}={v}" for k, v in search_params.items()])
endpoint = f"{endpoint}?{query_string}"
response = requests.get(endpoint, headers=headers)
if response.status_code == 200:
return response.json()
else:
raise Exception(f"Falha ao pesquisar tickets: {response.status_code} - {response.text}")
def get_ticket(self, ticket_id):
"""
Obtém detalhes de um ticket específico
Args:
ticket_id: ID do ticket
"""
endpoint = f"{self.url}/apirest.php/Ticket/{ticket_id}?expand_dropdowns=true&with_logs=true"
headers = self.get_headers()
response = requests.get(endpoint, headers=headers)
if response.status_code == 200:
return response.json()
else:
raise Exception(f"Falha ao obter ticket: {response.status_code} - {response.text}")
def create_ticket(self, data):
"""
Cria um novo ticket
Args:
data: Dicionário com dados do ticket
"""
endpoint = f"{self.url}/apirest.php/Ticket"
headers = self.get_headers()
# Adiciona a entidade padrão se não especificada
if 'entities_id' not in data:
data['entities_id'] = self.entity_id
response = requests.post(endpoint, headers=headers, json=data)
if response.status_code == 201:
return response.json()
else:
raise Exception(f"Falha ao criar ticket: {response.status_code} - {response.text}")
def update_ticket(self, ticket_id, data):
"""
Atualiza um ticket existente
Args:
ticket_id: ID do ticket
data: Dicionário com dados a serem atualizados
"""
endpoint = f"{self.url}/apirest.php/Ticket/{ticket_id}"
headers = self.get_headers()
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.
- 3d ago First seen · 477 lines · 0 tokens per session scan A 47391d5092af
exemplo is a cursor rule published in the GitHub repository raphael-florestasm/mcp-glpi (5 stars, last pushed 1y ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 3,392 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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