posthog

posthog is a skill for Claude Code from HybridAIOne/hybridclaw. It costs 34 tokens per session (2,653 once invoked), scanned A, original, MIT.

A PostHog product-analytics skill for recording events, reading user profiles, inspecting feature flags, and running bounded queries. Product analytics measures how people use an application.

In plain words
What is it for?
Use it to capture events, update or read person properties, inspect and test feature flags, and query trends, funnels, retention, or other analytics data.
Why use it?
It brings common analytics checks and updates into one controlled workflow while keeping unsupported or risky data operations out of scope.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to capture events, update or read person properties, inspect and test feature flags, and query trends, funnels, retention, or other analytics data.

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Install with agentmods
npx agentmods add skills/hybridaione/hybridclaw/posthog
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 HybridAIOne/hybridclaw --skill posthog
Clone the repo
git clone --depth 1 https://github.com/HybridAIOne/hybridclaw

Made for: Claude Code.

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 posthog

README.md
[![agentmods](https://agentmods.dev/badge/skills/hybridaione/hybridclaw/posthog/github.svg)](https://agentmods.dev/skills/hybridaione/hybridclaw/posthog)
Your own site
<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/posthog"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/posthog/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 posthog

Your own site · 80×15
<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/posthog"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/posthog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,653 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 173
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
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 $0.00034 $0.02653
Opus 5 $0.00017 $0.01326
Sonnet 5 $0.00007 $0.00531
Haiku 4.5 $0.00003 $0.00265

Measured 9d ago against content hash 95db209b3594, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

posthog 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (posthog.cjs), 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/posthog/SKILL.md · 274 lines

How it starts

The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PostHog

Use this skill for PostHog product analytics work: event capture, person property reads and updates, feature flag inspection, feature flag test evaluation, and bounded insight/HogQL queries.

Scope

  • capture a single product analytics event through the public capture endpoint
  • update person properties with a guarded $identify capture event
  • list and retrieve persons through the private persons API
  • list and retrieve feature flag metadata
  • test how a feature flag evaluates for a distinct id without changing the flag
  • run private query API requests for HogQL, trends, funnels, retention, and other PostHog query payloads
  • classify common PostHog auth, permission, validation, and rate-limit errors
  • measure skill run cost through normal HybridClaw UsageTotals

Out Of Scope

  • creating, editing, rolling out, or deleting feature flags
  • deleting persons or bulk deleting data
  • bulk historical imports or migration-sized batch capture
  • exporting large event/person tables on a schedule
  • bypassing PostHog region, project, environment, or credential configuration

Credential Rules

PostHog has two credential rails:

  • POSTHOG_PROJECT_TOKEN is the public project token used in capture payloads.
  • POSTHOG_PERSONAL_API_KEY is a private bearer credential used for persons, feature flags, and query endpoints.

Never paste either token into chat or helper arguments. The helper emits <secret:POSTHOG_PROJECT_TOKEN> inside capture JSON and bearerSecretName: "POSTHOG_PERSONAL_API_KEY" for private APIs, so the gateway injects credentials server-side.

Recommended setup order:

  1. Browser admin: open the active HybridClaw admin URL ending in /admin/secrets and set POSTHOG_PROJECT_TOKEN and POSTHOG_PERSONAL_API_KEY.
  2. Browser /chat or TUI fallback:
/secret set POSTHOG_PROJECT_TOKEN <project-token>
/secret set POSTHOG_PERSONAL_API_KEY <personal-api-key>
/env set POSTHOG_HOST "https://us.posthog.com"
/env set POSTHOG_INGEST_HOST "https://us.i.posthog.com"
/env set POSTHOG_PROJECT_ID "12345"
/env set POSTHOG_ENVIRONMENT_ID "12345"

Read the full file on GitHub · 274 lines

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. 9d ago First seen · 274 lines · 34 tokens per session scan A 95db209b3594

Subscribe to this mod's changes

posthog is a skill published in the GitHub repository HybridAIOne/hybridclaw (132 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 2,653 once invoked, about $0.0002 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 2026-09-03.