Official agent skill

Exploring MCP Tool Quality

by PostHog in PostHog/posthog

Investigate the quality of PostHog MCP tool calls — error rates, latency, reach, and which tools are failing or slow.

OfficialCustom licenceAuto-check passedAgent Workflows

Install Exploring MCP Tool Quality

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

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

GitHub CLI
$ gh skill install PostHog/posthog exploring-mcp-tool-quality --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-quality .claude/skills/exploring-mcp-tool-quality && 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-quality
GitHub stars
40k
Token cost
~2k tokens
SKILL.md length
749 words
Files
1
Skills in repo
252
Repo updated
First seen
Licence
Custom licence

At a glance

Investigate the quality of PostHog MCP tool calls — error rates, latency, reach, and which tools are failing or slow.

  • The user asks which MCP tool has the highest error rate?
  • SKILL.md covers Governed metric first, The two rules that matter most, Workflow: which tool has the… and Workflow: tool-quality matrix, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Whats the slowest tool?

What it does

Exploring MCP Tool Quality is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Investigate the quality of PostHog MCP tool calls — error rates, latency, reach, and which tools are failing or slow. Use when the user asks "which MCP tool has the highest error rate?", "what's the slowest tool?", "which tools fail most often?", "how reliable is tool X?", wants a tool-quality matrix, or pastes an MCP analytics tool-quality / dashboard URL and asks what it shows.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering MCP servers. It works with PostHog, Model Context Protocol and SQL. 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 which MCP tool has the highest error rate?
  • Whats the slowest tool?
  • Which tools fail most often?
  • How reliable is tool X?

Example prompts

  • “which MCP tool has the highest error rate?”
  • “s the slowest tool?”
  • “which tools fail most often?”
  • “/exploring-mcp-tool-quality”

What it can do on your machine

Read from SKILL.md and the folder at commit 10f9ad7. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are sql).

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Exploring MCP Tool Quality loads about 2k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 749 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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 passed

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); files beside SKILL.md 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 749 words (~1,966 tokens).

“Any MCP server instrumented with PostHog's MCP analytics SDK emits a $mcp_tool_call event on the shared events table every time an agent invokes a tool. There is no dedicated ClickHouse table — every field lives as a $mcp_* property on…”

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

Read the full SKILL.md on GitHub

Files

Just SKILL.md in products/mcp_analytics/skills/exploring-mcp-tool-quality of PostHog/posthog.

Open the folder on GitHubat commit 10f9ad7

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 Quality 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 Quality compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Exploring MCP Tool Quality this skillPostHog/posthog40k—~2kAutomated safety check: PassCustom licence
Tool Selectiondatabricks-solutions/ai-dev-kit1.9k—~519Automated safety check: PassCustom licence
Meridian MCPMeridiona/meridian411—~967Automated safety check: NotesCustom licence
Head Of Datagetnao/sylph211—~920Automated safety check: PassNone
Google Cloud Storage Basicsgoogle/skills21k—~2.8kAutomated safety check: PassApache-2.0
Relational Database MCP CloudbaseMicrock/ordinary-claude-skills4032 repos~1.3kAutomated safety check: PassCustom licence

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Categories

Questions about Exploring MCP Tool Quality

What does Exploring MCP Tool Quality do?

Investigate the quality of PostHog MCP tool calls — error rates, latency, reach, and which tools are failing or slow. Exploring MCP Tool Quality is an agent skill from PostHog/posthog, published by the product's own GitHub organization. Investigate the quality of PostHog MCP tool calls — error rates, latency, reach, and which tools are failing or slow.

When should I use Exploring MCP Tool Quality?

Exploring MCP Tool Quality fits situations like: the user asks which MCP tool has the highest error rate?; whats the slowest tool?; which tools fail most often?; how reliable is tool X?.

How do I install Exploring MCP Tool Quality in Claude Code?

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

How do I install Exploring MCP Tool Quality in Codex?

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

Can I use Exploring MCP Tool Quality 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-quality -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-quality, .gemini/skills/exploring-mcp-tool-quality, .github/skills/exploring-mcp-tool-quality and .opencode/skills/exploring-mcp-tool-quality in your project.

What does Exploring MCP Tool Quality need to run?

SKILL.md names no scripts, command-line tools or credentials: Exploring MCP Tool Quality is instructions for the agent only.

Does Exploring MCP Tool Quality access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Exploring MCP Tool Quality safe to install?

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. Review the folder before installing.

What licence does Exploring MCP Tool Quality use?

Exploring MCP Tool Quality 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 Quality use?

About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Exploring MCP Tool Quality?

Skills that share tags, products or a category with Exploring MCP Tool Quality: Tool Selection (databricks-solutions/ai-dev-kit, 1.9k stars), Meridian MCP (Meridiona/meridian, 411 stars), Head Of Data (getnao/sylph, 211 stars) and Google Cloud Storage Basics (google/skills, 21k 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 Quality?

PostHog (a GitHub organization, an official publisher) maintains it in PostHog/posthog, which has 40,182 GitHub stars. The repository holds 252 skills in this directory. The repository was last updated on October 8, 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.