What is data-ingestion?

A tool for fetching and converting time-series data into a shared JSON format. Time-series data is a sequence of measurements recorded over time, such as CPU usage or request latency.

Use it to parse one or more CSV files, combine their data, and prepare data from sources such as CSV files or Google Cloud Monitoring.

It gives other analysis tools a consistent input format instead of making each one handle every data source separately.

data-ingestion — Skill for Claude Code and Codex by gemini-cli-extensions: A tool for fetching and converting time-series data into…

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 skills/gemini-cli-extensions/sre/data-ingestion

Any agent

npx skills add gemini-cli-extensions/sre --skill data-ingestion

Clone the repo

git clone --depth 1 https://github.com/gemini-cli-extensions/sre

Made for: Claude Code, Codex.

Or install sre-extension, the plugin that ships this one along with the rest of its 16 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/gemini-cli-extensions/sre/data-ingestion.svg)](https://agentmods.dev/skills/gemini-cli-extensions/sre/data-ingestion)

Your own site

<a href="https://agentmods.dev/skills/gemini-cli-extensions/sre/data-ingestion"><img src="https://agentmods.dev/badge/skills/gemini-cli-extensions/sre/data-ingestion.svg" alt="Measured on agentmods" height="20"></a>

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 448 The whole file, excluding the scripts and references it only reads on demand.

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.

Model	Per session	Once invoked
Fable 5	$0.00017	$0.00448
Opus 5	$0.00009	$0.00224
Sonnet 5	$0.00003	$0.00090
Haiku 4.5	$0.00002	$0.00045

Measured 4d ago against content hash 203be260bb37, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-ingestion 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.

The scan reads SKILL.md. This mod also ships 2 executable files (merge_timeseries.py, parse_csv.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/data-ingestion/SKILL.md · 40 lines

What it actually says

Data Ingestion Skill

This skill is responsible for fetching and converting time-series data from different sources into a standardized JSON format for other skills to consume.

Inputs:

source_type: String indicating the data source (e.g., "csv", "cloud_monitoring").
source_details: A dictionary or list containing the necessary information to access the data source.
- For source_type: "csv": A list of file paths.

Output:

A JSON string in the standardized format (see README.md for details).

Workflow:

Validate Inputs: Check if source_type and source_details are provided.
Route to Parser: Based on source_type:
- If source_type is "csv":
  - Ensure source_details is a list of file paths.
  - Create a list of temporary file names for intermediate JSON outputs (e.g., ~/.gemini/tmp/user/parsed_0.json, ...).
  - Parse Each CSV: Iterate through the input file paths:
    - Execute python ./skills/data-ingestion/parse_csv.py <input_csv_path> > <temp_json_path> using run_shell_command (with venv activation).
    - Check for errors.
  - Merge JSONs: Execute python ./skills/data-ingestion/merge_timeseries.py <temp_json_path_1> <temp_json_path_2> ... using run_shell_command (with venv activation).
  - Capture the stdout from merge_timeseries.py as the final result.
  - Clean up: Remove the temporary JSON files.
  - Handle any errors during script executions.
- If source_type is not supported, return an error message.
Return JSON: Output the standardized JSON string.

Files

What ships with it

3 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.

4d ago First seen · 40 lines · 17 tokens per session scan A 203be260bb37

Subscribe to this mod's changes

data-ingestion is a skill published in the GitHub repository gemini-cli-extensions/sre (83 stars, last pushed yesterday), licensed Apache-2.0. It adds 17 tokens to every session and 448 once invoked, about $0.0001 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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