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AC telegraph

Use Telegraph Protocol for verified AI inference. Activate when the user asks for weather forecasts or climate data; deepfake or AI-content detection; LLM completions, image generation, or embeddings via a decentralized network; AI text detection; autonomous signal monitoring across categories like POLITICS, TECHNOLOGY, CLIMATE, HEALTH, ECONOMICS, or GEOPOLITICS; or any task where the user explicitly wants to route inference through the Telegraph network or pay via x402 USDC micropayments. Requires the Telegraph MCP server running with a USDC-funded EVM or Solana wallet.

ClawHub Agent Skills author: Muhammad Umar v1.1.0 MIT-0 2 files body ≈ 1 709 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Use Telegraph Protocol for verified AI inference.

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (telegraph) differs from the folder (telegraph-dev)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 100Steps. 5 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 1709 tokens
    • 100Running it twice. No mutating operations

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +3Description length 577: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 5 items
    • +4Has examples (4 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    The skill clearly discloses that it routes AI requests through Telegraph and may spend USDC, but its broad activation scope plus automatic wallet-backed payments warrant user review.
    LLM: suspicious (medium) · VirusTotal: · 9 Jul 2026