What is deploy-telemetry?

A setup workflow for Skene, a command-line system that builds analytics and event-tracking infrastructure. It verifies configuration and generated files before optionally sending them to Skene Cloud.

Use it to build telemetry, check Skene configuration and migrations, create a feature registry, and push generated tracking data to Skene Cloud.

It provides checks and instructions for creating tracking artifacts and avoids inventing schemas when the command-line tool fails. Sending data to the cloud requires confirmation.

deploy-telemetry — Skill by SkeneTechnologies/skene

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 SkeneTechnologies/skene --skill deploy-telemetry

Clone the repo

git clone --depth 1 https://github.com/SkeneTechnologies/skene

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/skenetechnologies/skene/deploy-telemetry/github.svg)](https://agentmods.dev/skills/skenetechnologies/skene/deploy-telemetry)

Your own site

<a href="https://agentmods.dev/skills/skenetechnologies/skene/deploy-telemetry"><img src="https://agentmods.dev/badge/skills/skenetechnologies/skene/deploy-telemetry/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/skenetechnologies/skene/deploy-telemetry"><img src="https://agentmods.dev/badge/skills/skenetechnologies/skene/deploy-telemetry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 669 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: 6 findings, up to medium

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 →

medium MCP Rug Pull · line 15
uvx/uv tool run commands without ==version create a rug-pull risk.

Fix: Pin the version: uvx package-name==1.2.3
medium MCP Rug Pull · line 20
uvx/uv tool run commands without ==version create a rug-pull risk.

Fix: Pin the version: uvx package-name==1.2.3
medium MCP Rug Pull · line 23
uvx/uv tool run commands without ==version create a rug-pull risk.

Fix: Pin the version: uvx package-name==1.2.3
medium MCP Rug Pull · line 25
uvx/uv tool run commands without ==version create a rug-pull risk.

Fix: Pin the version: uvx package-name==1.2.3
medium MCP Rug Pull · line 29
uvx/uv tool run commands without ==version create a rug-pull risk.

Fix: Pin the version: uvx package-name==1.2.3
medium MCP Rug Pull · line 33
uvx/uv tool run commands without ==version create a rug-pull risk.

Fix: Pin the version: uvx package-name==1.2.3

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.

Model	Per session	Once invoked
Fable 5.1	$0.00047	$0.00669
Opus 5.5	$0.00019	$0.00268
Sonnet 5.5	$0.00009	$0.00134
Haiku 4.5	$0.00005	$0.00067

Measured 1mo ago against content hash bcf8f520beed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deploy-telemetry 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.

cursor-plugin/skills/deploy-telemetry/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deploy Telemetry

Set up analytics infrastructure via the Skene CLI.

Agent behavior rules

Autonomous. Run CLI commands, report results, suggest next step. No mid-flow questions except for genuine blockers.
CLI is the source of truth. Do NOT fabricate migration schemas or client code if the CLI fails.
User cannot type into agent terminals. Pipe safe defaults for routine prompts. Kill stuck terminals.
Upstream push can be a genuine blocker. Ask the user in chat to confirm before running uvx skene push — it POSTs skene-context/engine.yaml, {output_dir}/feature-registry.json when present, and the latest trigger migration to Skene Cloud (it does not generate SQL; run uvx skene build first if artifacts are missing).

Steps

Discover CLI options Run uvx skene push --help to see available flags. Use only flags that appear in the output.
Verify prerequisites
- skene-context/engine.yaml must exist; trigger SQL lives under supabase/migrations/ as *_skene_triggers.sql after uvx skene build (older projects may use legacy *skene_trigger* / *skene_telemetry* filenames).
- Feature registry: default skene-context/feature-registry.json (or {output_dir} from config; legacy skene/feature-registry.json auto-detected). If missing, push still runs but omits the registry until build creates it.
- If engine or migrations are missing: tell the user to run uvx skene build first, then retry deploy.
- ls supabase/ 2>/dev/null — if missing: "No Supabase directory. Set up Supabase first."
Ask user to confirm Tell the user: "uvx skene push uploads engine, feature-registry.json (if present), and latest *_skene_triggers.sql to upstream. Proceed?" Wait for confirmation.
Run push After user confirms, run uvx skene push with appropriate flags from --help output. Report which migration file was packaged (latest eligible under supabase/migrations/) and that upstream received the deploy.

Read the full file on GitHub · 50 lines

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.

1mo ago First seen · 50 lines · 47 tokens per session scan A bcf8f520beed

Subscribe to this mod's changes

deploy-telemetry is a skill published in the GitHub repository SkeneTechnologies/skene (126 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 669 once invoked, about $0.0002 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 2026-08-30.

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