SKILLEMALL.ai

BC gekko-strategist

AI-powered DeFi strategy development agent. Design, backtest, adapt, and evaluate yield farming strategies based on market conditions, risk profiles, and capital allocation goals. The brain of the Gekko system.

ClawHub Agent Skills author: gekkoai001 v1.0.0 4 files body ≈ 1 069 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

AnalyzerAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
94
Quality 40%
72
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token SKILL.md:115
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Seamless USDC | `0x61…738` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:116
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Moonwell USDC | `0xc1…2Ca` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:117
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Spark USDC | `0x7b…34A` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:118
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Gauntlet USDC Prime | `0xe8…b61` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:119
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Yo USDC | `0x00…a65` |
    table
  • low Risky intent intent-offensive-security SKILL.md:130
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    All strategy allocations target audited, open-source vault contracts. Strategist generates allocation recommendations only — actual execution requires explicit wallet signing through the Executor agen

Files scanned: 4. 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")

Process rating: all ten parameters 58/100

  • 0Result and completion. Does not say what the result is
  • 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. 2 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1069 tokens
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 210: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a disclosed remote DeFi strategy assistant; it sends strategy inputs to Gekko's API but does not execute trades, use wallets, persist locally, or hide its behavior.
LLM: benign (high) · VirusTotal: benign · 10 Sept 2026