Borrowing it
Nothing to install: this file belongs to SunrisesIllNeverSee/sigrank-app. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SunrisesIllNeverSee/sigrank-app/main/.claude/skills/mcp-analytics/SKILL.mdgit clone --depth 1 https://github.com/SunrisesIllNeverSee/sigrank-appWrote 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.
[](https://agentmods.dev/skills/sunrisesillneversee/sigrank-app/mcp-analytics)<a href="https://agentmods.dev/skills/sunrisesillneversee/sigrank-app/mcp-analytics"><img src="https://agentmods.dev/badge/skills/sunrisesillneversee/sigrank-app/mcp-analytics.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00135 | $0.05807 |
| Opus 5 | $0.00068 | $0.02903 |
| Sonnet 5 | $0.00027 | $0.01161 |
| Haiku 4.5 | $0.00014 | $0.00581 |
Grade A, and why
mcp-analytics 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add PostHog MCP analytics
Use this skill to instrument a user's own MCP server with PostHog MCP analytics. Once instrumented, every tool call, agent intent, and failure the server handles is captured as a $mcp_* event in PostHog — so the user can see which tools get used, what agents are trying to do, error rates, and latency.
There are two SDKs and this skill handles both:
- TypeScript / JavaScript — the
@posthog/mcpNode package. - Python —
posthog.mcp, which ships inside theposthogpackage (likeposthog.ai).
This is not about adding the PostHog MCP server to a coding agent (that's wizard mcp add). This skill instruments the user's own MCP server code so it reports analytics about itself.
Scope and guardrails
- TypeScript / JavaScript and Python are supported. Detect the language in STEP 1 and follow the matching part of every step. If the MCP server is written in anything else (Go, Rust, …), stop: emit
[ABORT] unsupported language for mcp analyticson its own line and do nothing else. - This must be an MCP server. Search thoroughly before concluding there isn't one: check dependency manifests and source for the STEP 1 signals across the whole project, including monorepo workspace packages and subdirectories — a server is often under
packages/*,apps/*,server/, orsrc/, not the repo root. Only after an exhaustive search finds nothing, stop: emit[ABORT] no mcp server foundon its own line, and in the same message tell the user where you looked and to re-run the command from inside the package or directory that actually defines their MCP server. Do nothing else. - Beta SDK. Both SDKs are pre-1.0 and may ship breaking changes in minor releases. Pin a version (see STEP 3).
- Minimal, additive changes only. Add instrumentation alongside the existing server; do not restructure tool handlers or change their behavior. The wrapper is designed to be one line.
What ships with it
11 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.
- .posthog-wizard 0 B
- references/COMMANDMENTS.md 2.1 KB
- references/conversation-id.md 4.8 KB
- references/custom-events.md 3.7 KB
- references/custom-servers.md 10 KB
- references/events.md 9.8 KB
- references/identifying-users.md 5.7 KB
- references/installation.md 21 KB
- references/intent.md 6.3 KB
- references/sdk-v2.md 6.0 KB
- references/start-here.md 9.1 KB
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.
- 3d ago First seen · 348 lines · 135 tokens per session scan A 854f318f6e44
mcp-analytics is a skill published in the GitHub repository SunrisesIllNeverSee/sigrank-app (6 stars, last pushed today), licensed MIT. It adds 135 tokens to every session and 5,807 once invoked, about $0.0007 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 2026-09-04.
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