field-extraction-and-cim-mapping

field-extraction-and-cim-mapping is a skill for Claude Code, Codex from splunk/splunk-agent-skills. It costs 125 tokens per session (1,912 once invoked), scanned A, original, Apache-2.0.

A guidance tool for extracting fields from Splunk events and mapping them to the Common Information Model (CIM). CIM is Splunk's shared naming and structure for data from different sources.

In plain words
What is it for?
Use it to design or troubleshoot key-value, delimiter, and regular-expression extractions, props.conf and transforms.conf settings, aliases, tags, and CIM validation.
Why use it?
It helps turn raw event text into searchable fields and consistent CIM data without inventing field meanings or deploying untested configuration.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also agents/openai.yaml present.

Good fit Use it to design or troubleshoot key-value, delimiter, and regular-expression extractions, props.conf and transforms.conf settings, aliases, tags, and CIM validation.

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Install with agentmods
npx agentmods add skills/splunk/splunk-agent-skills/field-extraction-and-cim-mapping
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.

Any agent
npx skills add splunk/splunk-agent-skills --skill field-extraction-and-cim-mapping
Clone the repo
git clone --depth 1 https://github.com/splunk/splunk-agent-skills

Made for: Claude Code, Codex.

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 field-extraction-and-cim-mapping

README.md
[![agentmods](https://agentmods.dev/badge/skills/splunk/splunk-agent-skills/field-extraction-and-cim-mapping/github.svg)](https://agentmods.dev/skills/splunk/splunk-agent-skills/field-extraction-and-cim-mapping)
Your own site
<a href="https://agentmods.dev/skills/splunk/splunk-agent-skills/field-extraction-and-cim-mapping"><img src="https://agentmods.dev/badge/skills/splunk/splunk-agent-skills/field-extraction-and-cim-mapping/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.

agentmods 80×15 button for field-extraction-and-cim-mapping

Your own site · 80×15
<a href="https://agentmods.dev/skills/splunk/splunk-agent-skills/field-extraction-and-cim-mapping"><img src="https://agentmods.dev/badge/skills/splunk/splunk-agent-skills/field-extraction-and-cim-mapping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,912 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00125 $0.01912
Opus 5 $0.00063 $0.00956
Sonnet 5 $0.00025 $0.00382
Haiku 4.5 $0.00013 $0.00191

Measured 10d ago against content hash 4af436f6acfd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

field-extraction-and-cim-mapping 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 10d 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.

skills/field-extraction-and-cim-mapping/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Field Extraction and CIM Mapping

Produce documentation-backed, evidence-bound guidance for search-time field extraction and CIM normalization. Draft text artifacts only. Never authenticate to, modify, install on, or deploy to a Splunk environment.

Prerequisites

Record or ask for only the missing items material to the requested decision:

  • representative sanitized raw events, including meaningful edge cases;
  • sourcetype and relevant current props.conf, transforms.conf, SPL, aliases, calculated fields, lookups, event types, and tags;
  • desired source fields and their meanings;
  • target CIM dataset and installed CIM version or model details;
  • Splunk product/version, persistence scope, app context, and deployment topology when configuration or routing depends on them; and
  • observed field/search/data-model validation output when diagnosing or claiming validation.

Never invent event structure or field meaning. With partial evidence, first preserve and assess every supported object-level fact. Mark each absent field or artifact unknown, and gate only the conclusion it affects; missing context must not erase supplied evidence. Clearly separate supplied observations, documented facts, assumptions, provisional conclusions, and unverified steps.

When to Use

Use this skill when the primary outcome is documented extraction guidance, an evidence-bound extraction draft, a semantic CIM mapping, validation steps, or a normalization-gap diagnosis. Apply the boundaries below to adjacent work.

Workflow Overview

1. Select the extraction mechanism

Read public-guidance.md. Identify the documented mechanism that fits the event shape: automatic key-value extraction, regex or delimiter extraction, inline EXTRACT, reusable REPORT plus transforms.conf, or an ad hoc SPL command. Separate persistent knowledge objects from search-local SPL. Treat index-time extraction as a performance-sensitive exception, not the default.

Read the full file on GitHub · 201 lines

Files

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.

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. 10d ago First seen · 201 lines · 125 tokens per session scan A 4af436f6acfd

Subscribe to this mod's changes

field-extraction-and-cim-mapping is a skill published in the GitHub repository splunk/splunk-agent-skills (29 stars, last pushed 19d ago), licensed Apache-2.0. It adds 125 tokens to every session and 1,912 once invoked, about $0.0006 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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