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BC evm

Read-only EVM client: wallets, tokens, gas across 8 chains.

NousResearch/hermes-agent Hermes author: NousResearch MIT 2 files body ≈ 1 965 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Read-only EVM client: wallets, tokens, gas across 8 chains.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, progress reporting

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Hermes Agent
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
90
Quality 40%
85
Run on models
none yet
Process rating
C
56/100
Has gaps
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 · 10

    ✓ No critical or high findings

    Medium and low: 10
    • low Secrets in code secret-high-entropy-token scripts/evm_client.py:95
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "USDT":  "0xdA…ec7",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/evm_client.py:96
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "USDC":  "0xA0…B48",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/evm_client.py:97
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "DAI":   "0x6B…d0F",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/evm_client.py:98
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "WETH":  "0xC0…Cc2",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/evm_client.py:99
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "WBTC":  "0x22…599",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:118
      High-entropy token-like string (may be an id, hash or a credential)
      python $SCRIPT wallet 0xd8…045
    • low Secrets in code secret-high-entropy-token SKILL.md:125
      High-entropy token-like string (may be an id, hash or a credential)
      python $SCRIPT multichain 0xd8…045
    • low Secrets in code secret-high-entropy-token SKILL.md:157
      High-entropy token-like string (may be an id, hash or a credential)
      python $SCRIPT contract 0xA0…B48   # USDC (proxy)
    • low Secrets in code secret-high-entropy-token SKILL.md:158
      High-entropy token-like string (may be an id, hash or a credential)
      python $SCRIPT contract 0xdA…ec7   # USDT (ERC-20)
    • low Secrets in code secret-high-entropy-token SKILL.md:199
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **L2 gas estimates are L2-e…ion only.** On rollups like Base, Arbitrum, Optimism, and zkSync, the actual transaction cost also includes an L1 data-posting fee that depends on calldata size and c
      quoted

    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 56/100

    • 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
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Consistency. The Hermes dialect needs category and tags
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 20 steps
    • 100Execution cost. Instruction body is 1965 tokens
    • 100Running it twice. No mutating operations

    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 59: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (12 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

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