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Use when building Towns Protocol bots - covers SDK initialization, slash commands, message handlers, reactions, interactive forms, blockchain operations, and deployment. Triggers: "towns bot", "makeTownsBot", "onSlashCommand", "onMessage", "sendInteractionRequest", "webhook", "bot deployment", "@towns-protocol/bot"

modbender/skill-library-mcp Agent Skills author: modbender MIT 6 files body ≈ 1 854 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Triggers: "towns bot", "makeTownsBot", "onSlashCommand", "onMessage", "sendInteractionRequest", "webhook", "bot deployment", "@towns-protocol/bot"

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype 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
96/100
safety, quality, tests
Safety 60%
97
Quality 40%
94
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token references/BLOCKCHAIN.md:94
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      USDC: '0x83…913',
      quoted
    • low Secrets in code secret-high-entropy-token references/BLOCKCHAIN.md:95
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      TOWNS: '0x00…a38'
      quoted
    • low Secrets in code secret-high-entropy-token references/INTERACTIVE.md:48
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      to: '0x83…913',  // USDC
      quoted

    Files scanned: 6. 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 46/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 6 mutating operations with no state check
    • 40Consistency. Frontmatter name (bots) differs from the folder (towns-protocol)
    • 100Tools and files. No external tools needed
    • 100Steps. 17 steps
    • 100Execution cost. Instruction body is 1854 tokens

    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

    • +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
    • +5Description quotes 8 example trigger phrases
    • +3Description length 316: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (11 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.