telegraph

telegraph is a skill for Claude Code, Codex from telegraphprotocol/telegraph-mcp. It costs 122 tokens per session (1,890 once invoked), scanned A, original, MIT.

A service for getting AI-generated answers through a network where different providers compete to supply and verify each result. It covers tasks such as weather forecasts, climate data, deepfake detection, text generation, image generation, and embeddings.

In plain words
What is it for?
Use it to query weather and climate information, detect AI-made content or deepfakes, generate text or images, create embeddings, and monitor signals in areas such as politics or technology.
Why use it?
It gives an agent a way to request AI results with checks on their reliability, instead of depending on one unverified provider. Some requests use USDC payments.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/telegraphprotocol/telegraph-mcp/telegraph
Any agent
npx skills add telegraphprotocol/telegraph-mcp --skill telegraph
Clone the repo
git clone --depth 1 https://github.com/telegraphprotocol/telegraph-mcp

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.

agentmods badge for telegraph

README.md
[![agentmods](https://agentmods.dev/badge/skills/telegraphprotocol/telegraph-mcp/telegraph.svg)](https://agentmods.dev/skills/telegraphprotocol/telegraph-mcp/telegraph)
Your own site
<a href="https://agentmods.dev/skills/telegraphprotocol/telegraph-mcp/telegraph"><img src="https://agentmods.dev/badge/skills/telegraphprotocol/telegraph-mcp/telegraph.svg" alt="Measured on agentmods" height="20"></a>
Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,890 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00122 $0.01890
Opus 5 $0.00061 $0.00945
Sonnet 5 $0.00024 $0.00378
Haiku 4.5 $0.00012 $0.00189

Measured 5d ago against content hash 36fae463b7c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

telegraph 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 5d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • telegraph — 100% identical, 0 lines differ
.agents/skills/telegraph/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Telegraph Protocol

Telegraph is a permissionless marketplace for verifiable AI inference. Agents pay USDC per request. Miners — which can be Bittensor subnets, OpenAI, open-source models, or any AI API — compete to supply answers. A decentralized validator mesh grades responses using zkTLS-verified ground truth and WASM scoring scripts, reaches BFT consensus, and delivers a cryptographically finalized result.

The native token is MACHINA. Every USDC paid for inference flows through an open-market TWAP to buy MACHINA for the miner — demand for intelligence directly drives demand for the token.


MCP Tool Reference

Free tools (no payment)

Tool Purpose
tg_node_list_subnets Full miner catalog — IDs, slugs, endpoints, input/output schemas
tg_node_subnets_health Health status of all miner integrations
tg_node_status Node identity, public key, chain info
tg_engine_list_subnets Engine's view of available miners with capabilities and cost
tg_daemon_categories Signal categories in the Daemon database (POLITICS, CLIMATE, TECHNOLOGY, …)
tg_daemon_questions Query the Daemon's stored signals — filterable by category, source, time, interest
tg_daemon_health Daemon health check

The subnet in some tool names is legacy — every provider is a miner today, whether a Bittensor subnet, a hosted model, or a private API.

Paid tools (x402 USDC per call)

Tool Purpose
tg_engine_ask Auto-routed inference — Engine's LLM router selects the best miner for your query
tg_engine_ask_subnet Direct inference to a specific miner by ID
Dynamic tools (auto-discovered) Per-miner tools generated from the live integration registry (see below)

Access Modes

1. Auto-routed inference (recommended)

The Engine classifies your natural language query into an Intent and routes to the highest-ranked miner for that task:

tg_engine_ask(query="7-day weather forecast for Dubai")
tg_engine_ask(query="Is this image AI-generated?")
tg_engine_ask(query="Summarize the latest clinical trial results for GLP-1 drugs")

Read the full file on GitHub · 152 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.

  1. 5d ago First seen · 152 lines · 122 tokens per session scan A 36fae463b7c1

Subscribe to this mod's changes

telegraph is a skill published in the GitHub repository telegraphprotocol/telegraph-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 122 tokens to every session and 1,890 once invoked, about $0.0006 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 2026-08-31.

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