Render Cisco Data Fabric ingest-time routing workflows and Splunk Cloud Platform Ingest Processor setup plans with SPL2 pipelines, source types, destinations, lifecycle handoffs, queue and…
$ npx skills add Kilo-Org/kilo-marketplace --skill splunk-ingest-processor-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Kilo-Org/kilo-marketplace splunk-ingest-processor-setup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/splunk-ingest-processor-setup .claude/skills/splunk-ingest-processor-setup && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "splunk-ingest-processor-setup" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/splunk-ingest-processor-setup into .claude/skills/splunk-ingest-processor-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splunk-ingest-processor-setup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/splunk-ingest-processor-setupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Kilo-Org/kilo-marketplace --skill splunk-ingest-processor-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Kilo-Org/kilo-marketplace splunk-ingest-processor-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/splunk-ingest-processor-setup .agents/skills/splunk-ingest-processor-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "splunk-ingest-processor-setup" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/splunk-ingest-processor-setup into .agents/skills/splunk-ingest-processor-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splunk-ingest-processor-setup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Kilo-Org/kilo-marketplace --skill splunk-ingest-processor-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Kilo-Org/kilo-marketplace splunk-ingest-processor-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/splunk-ingest-processor-setup .cursor/skills/splunk-ingest-processor-setup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "splunk-ingest-processor-setup" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/splunk-ingest-processor-setup into .cursor/skills/splunk-ingest-processor-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splunk-ingest-processor-setup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Kilo-Org/kilo-marketplace.git --path skills/splunk-ingest-processor-setup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Kilo-Org/kilo-marketplace --skill splunk-ingest-processor-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Kilo-Org/kilo-marketplace splunk-ingest-processor-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/splunk-ingest-processor-setup .gemini/skills/splunk-ingest-processor-setup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "splunk-ingest-processor-setup" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/splunk-ingest-processor-setup into .gemini/skills/splunk-ingest-processor-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splunk-ingest-processor-setup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Kilo-Org/kilo-marketplace splunk-ingest-processor-setupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Kilo-Org/kilo-marketplace --skill splunk-ingest-processor-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/splunk-ingest-processor-setup .github/skills/splunk-ingest-processor-setup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "splunk-ingest-processor-setup" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/splunk-ingest-processor-setup into .github/skills/splunk-ingest-processor-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splunk-ingest-processor-setup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Kilo-Org/kilo-marketplace --skill splunk-ingest-processor-setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Kilo-Org/kilo-marketplace splunk-ingest-processor-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/splunk-ingest-processor-setup .opencode/skills/splunk-ingest-processor-setup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "splunk-ingest-processor-setup" agent skill from https://github.com/Kilo-Org/kilo-marketplace/tree/main/skills/splunk-ingest-processor-setup into .opencode/skills/splunk-ingest-processor-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splunk-ingest-processor-setup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
splunk-ingest-processor-setupRender Cisco Data Fabric ingest-time routing workflows and Splunk Cloud Platform Ingest Processor setup plans with SPL2 pipelines, source types, destinations, lifecycle handoffs, queue and…
Splunk Ingest Processor Setup is an agent skill from Kilo-Org/kilo-marketplace. Render Cisco Data Fabric ingest-time routing workflows and Splunk Cloud Platform Ingest Processor setup plans with SPL2 pipelines, source types, destinations, lifecycle handoffs, queue and monitoring searches, metrics, OCSF, decrypt, S3 archive, custom pipeline templates, AI-powered data management readiness, and downstream readiness checks. Use when the user asks to configure Ingest Processor, author Ingest Processor pipelines, route or transform data at ingest time, validate Ingest Processor readiness, or…
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `agents/openai.yaml`, `reference.md` and `references/research-ledger.md`).
It sits in DevOps & Cloud, covering File uploads and storage and CRM management. It works with Splunk. The repository describes itself as: Kilo Marketplace - A curated collection of Skills, MCP Servers, and Modes for enhancing AI agent capabilities across the Kilo ecosystem—including Kilo Code (VS Code extension)… The licence is Apache-2.0.
Read from SKILL.md and the folder at commit ff51758. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 4 files in scripts/ (Shell and Python), which the agent can run.
Shell commands in SKILL.md call:
bashFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
acme-prod.scs.splunk.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Splunk Ingest Processor Setup loads about 1.2k tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 185 tokens; SKILL.md has 363 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from Kilo-Org/kilo-marketplace at commit ff51758, republished under its Apache-2.0 licence (© Kilo-Org). 363 words, ~1,184 tokens.
.claude/skills/splunk-ingest-processor-setup/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.This skill is a render-first workflow for Splunk Cloud Platform Ingest Processor. It prepares the complete operator packet for IP readiness, source-type and destination setup, SPL2 pipeline authoring, monitoring, and post-ingest data usability.
For newer Cisco Data Fabric wording, this is the Splunk Cloud ingest-time
pipeline route. Keep native Observability Metrics Pipeline Management requests
in splunk-observability-deep-native-workflows unless the user needs
source-type, destination, or SPL2 pipeline assets.
splunk-spl2-pipeline-kit for SPL2 templates and compatibility linting.splunk-edge-processor-setup;
Ingest Processor destinations are Splunk Cloud, Observability Cloud, metrics
indexes, and Amazon S3.splunk-data-source-readiness-doctor when that skill is present.reference.md before changing coverage, limits, or lifecycle behavior.Render a complete offline packet:
bash skills/splunk-ingest-processor-setup/scripts/setup.sh \
--phase all \
--tenant-name acme-prod \
--stack-url https://acme-prod.scs.splunk.com \
--source-types "aws:cloudtrail,crowdstrike:fdr,json_app" \
--destinations "splunk_indexer=type=splunk_cloud;default=true,metrics=type=metrics_index;index=metrics,s3_archive=type=s3;format=parquet;bucket=example-bucket" \
--pipelines "redact_auth=template=redact;sourcetype=json_app;destination=splunk_indexer,http_metrics=template=metrics;destination=metrics"Validate the skill offline:
bash skills/splunk-ingest-processor-setup/scripts/validate.shThe default output directory is splunk-ingest-processor-rendered/:
readiness-report.md and coverage-report.json.apply-plan.json with ui_handoff actions only.source-types/*.json, destinations/*.json, and pipelines/*.spl2.spl2-pipeline-kit/ rendered by splunk-spl2-pipeline-kit.monitoring/searches.spl and monitoring/usage-summary-handoff.md.lifecycle/*.md for apply, edit, remove, refresh, delete, and rollback
review.handoffs/*.md for HEC, Edge Processor, S3 Federated Search, and data-source
readiness workflows.useACK=false, HEC indexer
acknowledgement off, and CIDR lookup matching unsupported.© Kilo-Org, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 9 other files (scripts, references) in skills/splunk-ingest-processor-setup of Kilo-Org/kilo-marketplace.
Open the folder on GitHubat commit ff51758
Splunk Ingest Processor Setup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Splunk Ingest Processor Setup this skillKilo-Org/kilo-marketplace | 189 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Log Forwarding With Fluentdmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~697 | Automated safety check: Pass | Apache-2.0 | |
| Experience UI Bundle File Upload Generateforcedotcom/sf-skills | 1.1k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| AWSRightNow-AI/openfang | 18k | — | ~684 | Automated safety check: Pass | Apache-2.0 | |
| Loki Config Generatorakin-ozer/cc-devops-skills | 319 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Implementing AWS Macie For Data Classificationmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 |
mukul975/Anthropic-Cybersecurity-Skills
Configures Fluent Bit as an endpoint log forwarder and Fluentd as the central aggregator for centralized log collection, routing, filtering, and enrichment, covering input plugins for…
forcedotcom/sf-skills
MUST activate when the project contains a uiBundles//src/ directory and the task involves uploading, attaching, or dropping files.
RightNow-AI/openfang
AWS cloud services expert for EC2, S3, Lambda, IAM, and AWS CLI
akin-ozer/cc-devops-skills
Generate/create Loki configs — ingester, querier, compactor, ruler, S3/GCS/Azure backends.
mukul975/Anthropic-Cybersecurity-Skills
Enable and configure Amazon Macie via AWS CLI/Terraform to discover, classify, and protect sensitive data (PII, financial data, credentials) in S3 using ML and pattern matching, including discovery…
mukul975/Anthropic-Cybersecurity-Skills
Implements ransomware-resistant backups using restic with S3-compatible Object Lock (AWS S3, MinIO, Backblaze B2), automating backup creation, integrity checks via restic check --read-data…
Kilo-Org/kilo-marketplace
Sets up and maintains AzureML-ready Python projects as uv workspaces with devcontainers, a Makefile and job YAML, so local runs match cloud jobs and experiments stay reproducible.
Kilo-Org/kilo-marketplace
Creates, inspects, edits and runs Jupyter notebooks, scaffolding experiment or tutorial notebooks from templates and preferring a Jupyter MCP server over raw JSON edits.
Kilo-Org/kilo-marketplace
Takes a plain-language dashboard request through brand setup, data exploration, planning, an interactive HTML mock and a Tableau implementation spec.
Kilo-Org/kilo-marketplace
Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms.
Kilo-Org/kilo-marketplace
A skill your agent uses when arranging Apache NiFi processors, process groups, ports, comments, numbering, crossing connections, dense fan-in/fan-out, or reusable readable canvas layouts.
Kilo-Org/kilo-marketplace
Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI.
Works with
Render Cisco Data Fabric ingest-time routing workflows and Splunk Cloud Platform Ingest Processor setup plans with SPL2 pipelines, source types, destinations, lifecycle handoffs, queue and…. Splunk Ingest Processor Setup is an agent skill from Kilo-Org/kilo-marketplace. Render Cisco Data Fabric ingest-time routing workflows and Splunk Cloud Platform Ingest Processor setup plans with SPL2 pipelines, source types, destinations, lifecycle handoffs, queue and monitoring searches, metrics, OCSF, decrypt, S3 archive, custom pipeline templates, AI-powered data management readiness, and downstream readiness checks.
Splunk Ingest Processor Setup fits situations like: the user asks to configure Ingest Processor; author Ingest Processor pipelines; transform data at ingest time; validate Ingest Processor readiness.
Run `npx skills add Kilo-Org/kilo-marketplace --skill splunk-ingest-processor-setup -a claude-code`. Or copy the skill folder (skills/splunk-ingest-processor-setup in Kilo-Org/kilo-marketplace) into .claude/skills/splunk-ingest-processor-setup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Kilo-Org/kilo-marketplace --skill splunk-ingest-processor-setup -a codex`. Or copy the skill folder (skills/splunk-ingest-processor-setup in Kilo-Org/kilo-marketplace) into .agents/skills/splunk-ingest-processor-setup in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Kilo-Org/kilo-marketplace --skill splunk-ingest-processor-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/splunk-ingest-processor-setup, .gemini/skills/splunk-ingest-processor-setup, .github/skills/splunk-ingest-processor-setup and .opencode/skills/splunk-ingest-processor-setup in your project.
Going by SKILL.md and its folder, Splunk Ingest Processor Setup needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (bash). Our summary lists: Python 3; A Bash shell.
SKILL.md names 1 domain. In commands or code: acme-prod.scs.splunk.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Splunk Ingest Processor Setup is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 277 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Splunk Ingest Processor Setup: Implementing Log Forwarding With Fluentd (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Experience UI Bundle File Upload Generate (forcedotcom/sf-skills, 1.1k stars), AWS (RightNow-AI/openfang, 18k stars) and Loki Config Generator (akin-ozer/cc-devops-skills, 319 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Kilo-Org (a GitHub organization) maintains it in Kilo-Org/kilo-marketplace, which has 189 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on September 28, 2026.
Source: Kilo-Org/kilo-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
