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AC token-launcher

Launch tokens and keep 100% of your creator fees. Direct Mode provides full SDK integration guides for Clanker (7 EVM chains), Flaunch (Base), and Pump.fun (Solana) — no middleman, no platform cut. Easy Mode offers a convenience path via the Tator API (90/10 split). Includes strategy evaluation, fee economics, claiming, recipient updates, and tax/legal guidance. Triggers: "token idea", "launch a coin", "launch a token", "deploy a token", "token strategy", "claim fees", "creator fees", "update fee recipient", "token launch on base", "launch on solana", "clanker", "flaunch", "pump.fun", "token economics", "is this a good token".

modbender/skill-library-mcp Agent Skills author: modbender MIT 5 files body ≈ 4 392 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Launch tokens and keep 100% of your creator fees.

As a process C 56/100 · Has gaps — weak spots: result and completion, consistency, running it twice

IntegrationInfrastructureFinancetype 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
91/100
safety, quality, tests
Safety 60%
91
Quality 40%
90
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
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 · 9

    ✓ No critical or high findings

    Medium and low: 9
    • low Secrets in code secret-high-entropy-token references/clanker.md:43
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Base | 8453 | Via `WETH_ADDRESSES` from SDK | USDC: `0x83…913` |
      table
    • low Secrets in code secret-high-entropy-token references/clanker.md:44
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Arbitrum | 42161 | Via SDK | USDC: `0xaf…831` |
      table
    • low Secrets in code secret-high-entropy-token references/clanker.md:45
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | Mainnet | 1 | Via SDK | USDC: `0xA0…B48` |
      table
    • low Secrets in code secret-high-entropy-token references/clanker.md:130
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      pairedToken: "0x83…913", // USDC on Base
      quoted
    • low Secrets in code secret-high-entropy-token references/pumpfun.md:55
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const PUMP_PROGRAM_ID = new PublicKey("6EF8…F6P");
      quoted
    • low Secrets in code secret-high-entropy-token references/pumpfun.md:56
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const PUMP_FEES_PROGRAM_ID = new PublicKey("pfee…jVZ");
      quoted
    • low Secrets in code secret-high-entropy-token references/pumpfun.md:57
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const PUMP_AMM_PROGRAM_ID = new PublicKey("pAMM…XEA");
      quoted
    • low Secrets in code secret-high-entropy-token references/pumpfun.md:58
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const GLOBAL_PDA = new PublicKey("4wTV…njf");
      quoted
    • low Secrets in code secret-high-entropy-token references/pumpfun.md:59
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const MINT_AUTHORITY_PDA = new PublicKey("TSLv…okM");
      quoted

    Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "publisher"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "source"
    • note frontmatter-key unknown frontmatter key "documentation"

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 22 mutating operations with no state check
    • 40Consistency. Frontmatter name (token-launcher) differs from the folder (token-launch-pad)
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4392 tokens
    • 85Steps. 63 steps, 1 vague phrases
    • 100Failures and branches. 1 branches, has a failure section
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 top-level sections: this looks like several domains in one skill

    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
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 15 example trigger phrases
    • +3Description length 634: enough signal without eating the budget
    • +4Structure: 32 headings
    • +3Step-by-step instructions: 63 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.