Official agent skill

Exploring MCP Tool Original User Motive

by PostHog in PostHog/posthog

Build a starting-point taxonomy for an MCP tool — what users were trying to accomplish before they reached the tool — and publish it as a PostHog notebook.

OfficialCustom licenceAuto-check: notesAgent Workflows

Install Exploring MCP Tool Original User Motive

skills CLI
$ npx skills add PostHog/posthog --skill exploring-mcp-tool-original-user-motive -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install PostHog/posthog exploring-mcp-tool-original-user-motive --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/PostHog/posthog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/products/mcp_analytics/skills/exploring-mcp-tool-original-user-motive .claude/skills/exploring-mcp-tool-original-user-motive && rm -rf skills-src

Use ~/.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/

Facts

Skill name
exploring-mcp-tool-original-user-motive
GitHub stars
40k
Token cost
~9.4k tokens
SKILL.md length
4,511 words
Files
6 (incl. scripts, references)
Skills in repo
254
Repo updated
First seen
Licence
Custom licence

At a glance

Build a starting-point taxonomy for an MCP tool — what users were trying to accomplish before they reached the tool — and publish it as a PostHog notebook.

  • Works in 7 steps: Fix the tool and window → Build the corpus → Check the skew before extracting anything → …
  • The user asks why do people use this tool?
  • SKILL.md covers The corpus is untrusted input, Write the goal labels yourself, Workflow and Linking an intention to real…, plus 2 more sections
  • Runs Python scripts from its folder; calls python; reaches us.posthog.com; needs OPENAI_API_KEY

What it does

Exploring MCP Tool Original User Motive is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Build a starting-point taxonomy for an MCP tool — what users were trying to accomplish before they reached the tool — and publish it as a PostHog notebook. Reconstructs each session's goal from its opening tool calls, then clusters those goals into named categories with size, share, and facet mix. Use when the user asks "why do people use this tool?", "what are users actually trying to do?", "what problem brings people here?", "where do these sessions start?", "segment usage of <tool by goal", or wants a…

Its SKILL.md is about 9.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/facet-schemas.md`, `references/notebook-assembly.md` and `scripts/audit_intentions.py`).

It sits in Agent Workflows, covering MCP servers. It works with PostHog and Model Context Protocol. The repository describes itself as: :hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error…

When your agent uses it

  • The user asks why do people use this tool?
  • What are users actually trying to do?
  • What problem brings people here?
  • Where do these sessions start?

Example prompts

  • “why do people use this tool?”
  • “what are users actually trying to do?”
  • “what problem brings people here?”
  • “/exploring-mcp-tool-original-user-motive”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Fix the tool and window
  2. Build the corpus
  3. Check the skew before extracting anything
  4. Extract a facet per session
  5. Publish the notebook
  6. Check concentration before writing findings
  7. Read the result honestly

What it can do on your machine

Read from SKILL.md and the folder at commit 9d4bb2f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • us.posthog.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Exploring MCP Tool Original User Motive loads about 9.4k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 235 tokens; SKILL.md has 4,511 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~235
When it runs · the whole SKILL.md, loaded when a task matches
~9.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~16k

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:258
    =$(op read "$(grep -E '^OPENAI_API_KEY=' .env.local | cut -d= -f2- | tr -d '"')")
  • NoteMentions a .env fileSKILL.md:270
    `.env.local` holds 1Password references rather than literal secrets, so the `op read` step is not optional. `timeout` do

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.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 4,511 words (~9,377 tokens).

“$mcp_intent records the action an agent was taking at the moment of a call ("create a notebook titled Q3 funnel review"). It does not record the goal the person started with ("investigate a conversion drop"). That goal is never written…”

— opening of SKILL.md by PostHog, Custom licence
name
exploring-mcp-tool-original-user-motive

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts, references) in products/mcp_analytics/skills/exploring-mcp-tool-original-user-motive of PostHog/posthog.

  • SKILL.md
  • references/facet-schemas.md
  • references/notebook-assembly.md
  • scripts/audit_intentions.py
  • scripts/canonicalize_intentions.py
  • scripts/extract_facets.py

Open the folder on GitHubat commit 9d4bb2f

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in PostHog/posthog, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Exploring MCP Tool Original User Motive 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.

Exploring MCP Tool Original User Motive compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Exploring MCP Tool Original User Motive this skillPostHog/posthog40k—~9.4kAutomated safety check: NotesCustom licence
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MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence

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Categories

Questions about Exploring MCP Tool Original User Motive

What does Exploring MCP Tool Original User Motive do?

Build a starting-point taxonomy for an MCP tool — what users were trying to accomplish before they reached the tool — and publish it as a PostHog notebook. Exploring MCP Tool Original User Motive is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Build a starting-point taxonomy for an MCP tool — what users were trying to accomplish before they reached the tool — and publish it as a PostHog notebook.

When should I use Exploring MCP Tool Original User Motive?

Exploring MCP Tool Original User Motive fits situations like: the user asks why do people use this tool?; what are users actually trying to do?; what problem brings people here?; where do these sessions start?.

How do I install Exploring MCP Tool Original User Motive in Claude Code?

Run `npx skills add PostHog/posthog --skill exploring-mcp-tool-original-user-motive -a claude-code`. Or copy the skill folder (products/mcp_analytics/skills/exploring-mcp-tool-original-user-motive in PostHog/posthog) into .claude/skills/exploring-mcp-tool-original-user-motive in your project. Claude Code loads it when a task matches its description.

How do I install Exploring MCP Tool Original User Motive in Codex?

Run `npx skills add PostHog/posthog --skill exploring-mcp-tool-original-user-motive -a codex`. Or copy the skill folder (products/mcp_analytics/skills/exploring-mcp-tool-original-user-motive in PostHog/posthog) into .agents/skills/exploring-mcp-tool-original-user-motive in your project. Codex loads it when a task matches its description.

Can I use Exploring MCP Tool Original User Motive in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add PostHog/posthog --skill exploring-mcp-tool-original-user-motive -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/exploring-mcp-tool-original-user-motive, .gemini/skills/exploring-mcp-tool-original-user-motive, .github/skills/exploring-mcp-tool-original-user-motive and .opencode/skills/exploring-mcp-tool-original-user-motive in your project.

What does Exploring MCP Tool Original User Motive need to run?

Going by SKILL.md and its folder, Exploring MCP Tool Original User Motive needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named OPENAI_API_KEY. Our summary lists: Python 3.

Does Exploring MCP Tool Original User Motive access the network?

SKILL.md names 1 domain. In commands or code: us.posthog.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Exploring MCP Tool Original User Motive safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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.

What licence does Exploring MCP Tool Original User Motive use?

Exploring MCP Tool Original User Motive has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Exploring MCP Tool Original User Motive use?

About 9.4k tokens (SKILL.md is roughly 38k 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 6.4k tokens, read only when the agent opens those files.

What are the alternatives to Exploring MCP Tool Original User Motive?

Skills that share tags, products or a category with Exploring MCP Tool Original User Motive: Exploring The Wizard (PostHog/wizard, 197 stars), MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars) and MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Exploring MCP Tool Original User Motive?

PostHog (a GitHub organization, an official publisher) maintains it in PostHog/posthog, which has 40,219 GitHub stars. The repository holds 254 skills in this directory. The repository was last updated on October 11, 2026.

Source: PostHog/posthog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.