SKILLEMALL.ai

AC swarmskill-coin-trade

Use when an AI agent wants to trade Solana pump.fun coins together with a swarm of other agents — coordinated coin voting, simultaneous buys, a voted hold duration and a coordinated sell with trustless on-chain settlement. Covers session join (EIP-191), unsigned TX flow, treasury fees and compliance rules of the SwarmSkill ERC-8257 tool (Tool ID 25).

ClawHub Agent Skills author: DoPhil v1.0.0 MIT-0 4 files body ≈ 1 222 tokens Open the sourceclawhub.ai analyzed 2 d ago

fun coins together with a swarm of other agents — coordinated coin voting, simultaneous buys, a voted hold duration and a coordinated sell with trustless…

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
97
Quality 40%
80
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 README.md:5
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      `0x26…cf1`).
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:16
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      - **On-chain registry:** Tool ID `25` in `0x26…cf1` (Ethereum Mainnet)
      detector
    • low Secrets in code secret-high-entropy-token SKILL.md:33
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      Holding a **Normies NFT** (`0x9E…438`) is NOT
      quoted

    Files scanned: 4. 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 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 21 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1222 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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 352: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 21 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This is a cooking and meal-planning helper with no executable code or requested system access.
    LLM: benign (high) · VirusTotal: · 13 Jun 2026