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BC solana

Query Solana wallets, tokens, txs, and NFTs in USD.

NousResearch/hermes-agent Hermes author: NousResearch MIT 2 files body ≈ 1 519 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Query Solana wallets, tokens, txs, and NFTs in USD.

As a process C 53/100 · 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
53/100
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/solana_client.py:41
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "So11…112":  ("SOL",   "Solana"),
      quoted
    • low Secrets in code secret-high-entropy-token scripts/solana_client.py:42
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "EPjF…t1v": ("USDC",  "USD Coin"),
      quoted
    • low Secrets in code secret-high-entropy-token scripts/solana_client.py:43
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "Es9v…NYB":  ("USDT",  "Tether"),
      quoted
    • low Secrets in code secret-high-entropy-token scripts/solana_client.py:44
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "DezX…263": ("BONK",  "Bonk"),
      quoted
    • low Secrets in code secret-high-entropy-token scripts/solana_client.py:45
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "JUPy…vCN":  ("JUP",   "Jupiter"),
      detector
    • low Secrets in code secret-high-entropy-token SKILL.md:89
      High-entropy token-like string (may be an id, hash or a credential)
      wallet 9WzD…WWM
    • low Secrets in code secret-high-entropy-token SKILL.md:120
      High-entropy token-like string (may be an id, hash or a credential)
      token DezX…263
    • low Secrets in code secret-high-entropy-token SKILL.md:132
      High-entropy token-like string (may be an id, hash or a credential)
      activity 9WzD…WWM --limit 25
    • low Secrets in code secret-high-entropy-token SKILL.md:141
      High-entropy token-like string (may be an id, hash or a credential)
      nft 9WzD…WWM
    • low Secrets in code secret-high-entropy-token SKILL.md:174
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      python ~/.hermes/skills/blockchain/solana/scripts/solana_client.py price DezX…263
      detector

    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 53/100

    • 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
    • 85Steps. 18 steps, 1 vague phrases
    • 100Execution cost. Instruction body is 1519 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 51: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 18 items
    • +4Has examples (11 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

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