turning-engineering-analytics-into-insights

turning-engineering-analytics-into-insights is a skill for Claude Code from PostHog/ai-plugin. It costs 205 tokens per session (2,449 once invoked), scanned A, original, no licence file.

A procedure for turning pull-request and continuous-integration data into PostHog insights, dashboards, and subscriptions. Continuous integration automatically builds and tests code changes.

In plain words
What is it for?
Use it to create saved reports and dashboards from PR and CI data, set up subscriptions, and understand the SQL data sources behind those reports.
Why use it?
It makes engineering delivery data easier to query, monitor, and share instead of leaving it only in source-control or build systems.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the posthog plugin — 170 skills, 3 commands, 1 agent, 2 hooks, 1 MCP server shipped together

Good fit Use it to create saved reports and dashboards from PR and CI data, set up subscriptions, and understand the SQL data sources behind those reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/posthog/ai-plugin/turning-engineering-analytics-into-insights
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 PostHog/ai-plugin --skill turning-engineering-analytics-into-insights
Clone the repo
git clone --depth 1 https://github.com/PostHog/ai-plugin

Made for: Claude Code.

Or install posthog, the plugin that ships this one along with the rest of its 170 skills, 3 commands, 1 agent, 2 hooks, 1 MCP server.

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 turning-engineering-analytics-into-insights

README.md
[![agentmods](https://agentmods.dev/badge/skills/posthog/ai-plugin/turning-engineering-analytics-into-insights/github.svg)](https://agentmods.dev/skills/posthog/ai-plugin/turning-engineering-analytics-into-insights)
Your own site
<a href="https://agentmods.dev/skills/posthog/ai-plugin/turning-engineering-analytics-into-insights"><img src="https://agentmods.dev/badge/skills/posthog/ai-plugin/turning-engineering-analytics-into-insights/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 turning-engineering-analytics-into-insights

Your own site · 80×15
<a href="https://agentmods.dev/skills/posthog/ai-plugin/turning-engineering-analytics-into-insights"><img src="https://agentmods.dev/badge/skills/posthog/ai-plugin/turning-engineering-analytics-into-insights.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 205 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,449 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 unknown 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 $0.00205 $0.02449
Opus 5.5 $0.00082 $0.00980
Sonnet 5.5 $0.00041 $0.00490
Haiku 4.5 $0.00020 $0.00245

Measured 1mo ago against content hash 27ddc0310f52, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

turning-engineering-analytics-into-insights 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 1mo 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/turning-engineering-analytics-into-insights/SKILL.md · 133 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file 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. 1mo ago Changed · -2 lines · -25 tokens per session 27ddc0310f52
  2. 1mo ago First seen · 135 lines · 230 tokens per session scan A cc4f01f247fa

Subscribe to this mod's changes

turning-engineering-analytics-into-insights is a skill published in the GitHub repository PostHog/ai-plugin (93 stars, last pushed yesterday), with no licence file. It adds 205 tokens to every session and 2,449 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-03.

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