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AB openclaw-twa

Deploy interactive Telegram Mini App (TWA) answers from OpenClaw. Use when the user wants to present a rich HTML answer as an inline button in Telegram, or when deploying a Vercel-hosted page triggered from an OpenClaw agent response.

ClawHub Agent Skills author: shlomizaig v1.0.0 MIT-0 2 files body ≈ 1 377 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Deploy interactive Telegram Mini App (TWA) answers from OpenClaw.

As a process B 76/100 · Nearly there — weak spots: result and completion, consistency, progress reporting

ProcedureTelegramInfrastructuretype 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
92/100
safety, quality, tests
Safety 60%
98
Quality 40%
84
Run on models
none yet
Process rating
B
76/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Consistency w 8
40
the three weakest of ten parameters · all ten

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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration exfil-webhook-url skill.md:115
      Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
      curl -s -X POST "https://api.telegram.org/bot${BOT_TOKEN}/sendMessage" \
      placeholder
    • low Exfiltration net-credential-use skill.md:115
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -s -X POST "https://api.telegram.org/bot${BOT_TOKEN}/sendMessage" \
      vendor-host

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 76/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (openclaw-twa) differs from the folder (tg-rich-reply)
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 23 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 2 branches, has a failure section
    • 100Execution cost. Instruction body is 1377 tokens
    • 100Running it twice. Mutating operations check current state

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 234: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (6 code blocks)

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

    External checks

    ClawHub: suspicious
    This skill mostly does what it claims, but it can publish generated content publicly and change Vercel access settings without a clear confirmation step.
    LLM: suspicious (medium) · 8 Jul 2026