SKILLEMALL.ai
GitHub ↗ RU Sign in

BD ponzu-launchpad

Deploy and interact with Ponzu token launchpad — presales, DEX swaps, and LP farming on Ethereum

ClawHub Agent Skills author: YuzuKyouma v1.0.1 2 files body ≈ 5 346 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

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
B
81/100
safety, quality, tests
Safety 60%
95
Quality 40%
59
Run on models
none yet
Process rating
D
48/100
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token SKILL.md:164
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const PONZU_RECIPE = '0x11…153'
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:165
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const WETH         = '0xC0…Cc2'
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:447
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const PONZU_SWAP_FACTORY = '0x1D…0C2'
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:448
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const PONZU_ROUTER       = '0xb9…49e'
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:543
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const ZAP_ETH = '0x33…75D'
    quoted

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

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5346 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 48/100

  • 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
  • 30Running it twice. 14 mutating operations with no state check
  • 40Consistency. Frontmatter name (ponzu-launchpad) differs from the folder (ponzu-ethereum)
  • 50When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 5346 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 12 steps
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +3Description length 96: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (31 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: clean
The skill’s external metadata hosting guidance appears aligned with its NFT metadata purpose, but its privacy wording should be clearer about optional third-party services.
LLM: benign (medium) · VirusTotal: · 29 May 2026