SKILLEMALL.ai

FD nadfun

(no description)

Not recommendedlow grade F
ClawHub Agent Skills author: portdeveloper v1.0.0 10 files body ≈ 4 427 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
F
32/100
safety, quality, tests
Safety 60%
54
Quality 40%
0
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 · 26

✓ No critical or high findings

Medium and low: 26
  • medium Exfiltration net-credential-use AGENT-API.md:395
    Credential used in a network call (verify the destination is the intended service)
    const res = await fetch(`${CONFIG.apiUrl}/agent/market/${tokenId}`, { headers })
  • medium Exfiltration net-credential-use AGENT-API.md:463
    Credential used in a network call (verify the destination is the intended service)
    const res = await fetch(`${CONFIG.apiUrl}/agent/token/${tokenId}`, { headers })
  • medium Exfiltration net-credential-use AGENT-API.md:708
    Credential used in a network call (verify the destination is the intended service)
    const tokenRes = await fetch(`${BASE_URL}/agent/token/${tokenId}`, { headers })
  • medium Exfiltration net-credential-use AGENT-API.md:713
    Credential used in a network call (verify the destination is the intended service)
    const marketRes = await fetch(`${BASE_URL}/agent/market/${tokenId}`, { headers })
  • medium Exfiltration net-credential-use AGENT-API.md:720
    Credential used in a network call (verify the destination is the intended service)
    const metricsRes = await fetch(`${BASE_URL}/agent/metrics/${tokenId}?timeframes=1,60,1D`, {
  • low Secrets in code secret-high-entropy-token CREATE.md:46
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    CURVE: '0xA7…aCE',
    quoted
  • low Secrets in code secret-high-entropy-token CREATE.md:47
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    BONDING_CURVE_ROUTER: '0x6F…A22',
    quoted
  • low Secrets in code secret-high-entropy-token CREATE.md:48
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    LENS: '0x7e…7ea',
    quoted
  • low Secrets in code secret-high-entropy-token CREATE.md:316
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const CURVE = "0x12…94e" as const
    quoted
  • low Secrets in code secret-high-entropy-token CREATE.md:317
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const BONDING_CURVE_ROUTER = "0x86…003" as const
    quoted
  • low Secrets in code secret-high-entropy-token QUOTE.md:17
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    LENS: "0xB0…6f1",
    quoted
  • low Secrets in code secret-high-entropy-token QUOTE.md:18
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    CURVE: "0x12…94e",
    quoted
  • low Secrets in code secret-high-entropy-token QUOTE.md:23
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    LENS: "0x7e…7ea",
    quoted
  • low Secrets in code secret-high-entropy-token QUOTE.md:24
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    CURVE: "0xA7…aCE",
    quoted
  • low Secrets in code secret-high-entropy-token QUOTE.md:63
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    LENS: "0xB0…6f1",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:78
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DEX_ROUTER: "0x5D…fb2",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:79
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    BONDING_CURVE_ROUTER: "0x86…003",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:80
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    LENS: "0xB0…6f1",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:81
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    CURVE: "0x12…94e",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:82
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    WMON: "0x5a…fDd",
    quoted
  • low Secrets in code secret-high-entropy-token TOKEN.md:535
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    const spender = "0x5D…fb2" as `0x${string}`
    placeholder
  • low Secrets in code secret-high-entropy-token TRADING.md:40
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    LENS: "0xB0…6f1",
    quoted
  • low Secrets in code secret-high-entropy-token TRADING.md:41
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    BONDING_CURVE_ROUTER: "0x86…003",
    quoted
  • low Secrets in code secret-high-entropy-token TRADING.md:42
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DEX_ROUTER: "0x5D…fb2",
    quoted
  • low Secrets in code secret-high-entropy-token TRADING.md:47
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    LENS: "0x7e…7ea",
    quoted
  • low Secrets in code secret-high-entropy-token TRADING.md:48
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    BONDING_CURVE_ROUTER: "0x6F…A22",
    quoted

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 47/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4427 tokens
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • low 16 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

  • +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 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (15 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
This is a legitimate NadFun blockchain integration, but it needs review because its examples can expose wallet secrets, grant unlimited token approvals, and replace installed skill files from mutable remote URLs.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026