SKILLEMALL.ai

AB develop-secure-contracts

Develop secure smart contracts using OpenZeppelin Contracts libraries. Use when users need to integrate OpenZeppelin library components — including token standards (ERC20, ERC721, ERC1155), access control (Ownable, AccessControl, AccessManager), security primitives (Pausable, ReentrancyGuard), governance (Governor, timelocks), or accounts (multisig, account abstraction) — into existing or new contracts. Covers pattern discovery from library source, MCP generators, and library-first integration. Supports Solidity, Cairo, Stylus, and Stellar.

ClawHub Agent Skills author: samledger67-dotcom v98.0.1 MIT-0 2 files body ≈ 3 046 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 71/100 · Nearly there — weak spots: result and completion, when it triggers, progress reporting

IntegrationGitHubInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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 · 0

    ✓ No critical or high findings

    Files scanned: 2. 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 71/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 50 steps
    • 100Failures and branches. 6 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3046 tokens
    • 100Running it twice. Mutating operations check current state
    • 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
    • +2Single-language instructions
    • +3Description length 546: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 50 items
    • +4Has examples (0 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    The reviewed ClawHub/Convex helper skills are purpose-aligned and disclose their elevated commands, with no evidence of hidden exfiltration or destructive behavior.
    LLM: benign (medium) · VirusTotal: · 29 May 2026