servicenow-api AGENTS.md

servicenow-api AGENTS.md is an instructions file for Codex, OpenCode from Knuckles-Team/servicenow-api. It costs 4,182 tokens per session, scanned A, original, MIT.

Repository-specific instructions for a Python ServiceNow API project built with FastAPI, Pydantic, asynchronous tools, and agent libraries. They describe its server, agent, skills, MCP tools, API client, and request flow.

In plain words
What is it for?
Use them to work on the API server, agent behavior, modular skills, MCP tool registration, validation, asynchronous execution, or external ServiceNow requests.
Why use it?
They show an agent how requests move through the project and identify the exact commands and architectural areas to consider when making changes.

Instructions file for CodexOpenCode

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 instructions/knuckles-team/servicenow-api/agents-md
Clone the repo
git clone --depth 1 https://github.com/Knuckles-Team/servicenow-api

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for servicenow-api AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/knuckles-team/servicenow-api/agents-md.svg)](https://agentmods.dev/instructions/knuckles-team/servicenow-api/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/knuckles-team/servicenow-api/agents-md"><img src="https://agentmods.dev/badge/instructions/knuckles-team/servicenow-api/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 4,182 This file is loaded in full into every session.
When invoked 4,182 The same file — it is already loaded in full.
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 $0.04182 $0.04182
Opus 5 $0.02091 $0.02091
Sonnet 5 $0.00836 $0.00836
Haiku 4.5 $0.00418 $0.00418

Measured 4d ago against content hash b9e8b79a732c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

servicenow-api AGENTS.md 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 4d 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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

AGENTS.md · 319 lines

How it starts

The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Claude Code loads this file via CLAUDE.md (@AGENTS.md import) — the two stay in sync. Edit this file, not CLAUDE.md.

Tech Stack & Architecture

  • Language/Version: Python 3.10+
  • Core Libraries: agent-utilities, fastmcp, pydantic-ai
  • Key principles: Functional patterns, Pydantic for data validation, asynchronous tool execution.
  • Architecture:
    • mcp_server.py: Main MCP server entry point and tool registration.
    • agent_server.py: Pydantic AI agent definition and logic.
    • skills/: Directory containing modular agent skills (if applicable).

Architecture Diagram

graph TD
    User([User/A2A]) --> Server[A2A Server / FastAPI]
    Server --> Agent[Pydantic AI Agent]
    Agent --> Skills[Modular Skills]
    Agent --> MCP[MCP Server / FastMCP]
    MCP --> Client[API Client / Wrapper]
    Client --> ExternalAPI([External Service API])

Workflow Diagram

sequenceDiagram
    participant U as User
    participant S as Server
    participant A as Agent
    participant T as MCP Tool
    participant API as External API

    U->>S: Request
    S->>A: Process Query
    A->>T: Invoke Tool
    T->>API: API Request
    API-->>T: API Response
    T-->>A: Tool Result
    A-->>S: Final Response
    S-->>U: Output

Commands (run these exactly)

Installation

pip install .[all]

Quality & Linting (run from project root)

pre-commit run --all-files

Execution Commands

servicenow-mcp\nservicenow_api.mcp:mcp_server\n# servicenow-agent\nservicenow_api.agent:agent_server

Project Structure Quick Reference

  • MCP Entry Point → mcp_server.py
  • Agent Entry Point → agent_server.py
  • Source Code → servicenow_api/
  • Skills → skills/ (if exists)

File Tree

├── .bumpversion.cfg\n├── .codespellignore\n├── .dockerignore\n├── .env\n├── .gitattributes\n├── .github\n│   └── workflows\n│       └── pipeline.yml\n├── .gitignore\n├── .pre-commit-config.yaml\n├── .pytest_cache\n│   ├── .gitignore\n│   ├── CACHEDIR.TAG\n│   ├── README.md\n│   └── v\n│       └── cache\n├── AGENTS.md\n├── Dockerfile\n├── LICENSE\n├── MANIFEST.in\n├── README.md\n├── compose.yml\n├── debug.Dockerfile\n├── mcp\n├── mcp.compose.yml\n├── pyproject.toml\n├── pytest.ini\n├── requirements.txt\n├── scripts\n│   ├── validate_a2a_agent_server.py\n│   └── validate_agent_server.py\n├── servicenow_api\n│   ├── __init__.py\n│   ├── __main__.py\n│   ├── agent_server.py\n│   ├── auth.py\n│   ├── mcp_server.py\n│   ├── api_wrapper.py\n│   └── servicenow_models.py\n├── servicenow_api.egg-info\n│   ├── PKG-INFO\n│   ├── SOURCES.txt\n│   ├── dependency_links.txt\n│   ├── entry_points.txt\n│   ├── requires.txt\n│   └── top_level.txt\n└── tests\n    ├── conftest.py\n    ├── test_change_requests.py\n    ├── test_incidents.py\n    ├── test_api_wrapper.py\n    ├── test_servicenow_models.py\n    └── test_user.py

Read the full file on GitHub · 319 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. 4d ago First seen · 319 lines · 4,182 tokens per session scan A b9e8b79a732c

Subscribe to this mod's changes

servicenow-api AGENTS.md is an instructions file published in the GitHub repository Knuckles-Team/servicenow-api (19 stars, last pushed 6d ago), licensed MIT. It adds 4,182 tokens to every session, about $0.0209 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.