SKILLEMALL.ai

BC agentwalletapi

OpenclawCash crypto wallet API for AI agents (also called openclawcash). Use when an agent needs to send native or token transfers, check balances, list wallets, or interact with EVM and Solana wallets programmatically via OpenclawCash.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 5 files · 2 scripts body ≈ 6 348 tokens Open the sourcegithub.com analyzed 2 d ago

OpenclawCash crypto wallet API for AI agents (also called openclawcash).

As a process C 58/100 · Has gaps — weak spots: result and completion, consistency, running it twice

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
77/100
safety, quality, tests
Safety 60%
74
Quality 40%
82
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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
  • medium Exfiltration net-credential-use scripts/agentwalletapi.sh:236
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-Agent-Key: $AGENTWALLETAPI_KEY" \
  • medium Exfiltration net-credential-use scripts/agentwalletapi.sh:241
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-Agent-Key: $AGENTWALLETAPI_KEY" \
  • medium Exfiltration net-credential-use scripts/agentwalletapi.sh:272
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-Agent-Key: $AGENTWALLETAPI_KEY" \
  • medium Exfiltration net-credential-use scripts/agentwalletapi.sh:369
    Credential used in a network call (verify the destination is the intended service)
    curl -s -H "X-Agent-Key: $AGENTWALLETAPI_KEY" \
  • low Secrets in code secret-high-entropy-token references/api-endpoints.md:288
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    { "walletId": 2, "to": "0xRe…...", "token": "0xA0…B48", "valueBaseUnits": "100000000" }
    quoted
  • low Secrets in code secret-high-entropy-token references/api-endpoints.md:293
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    { "walletId": 2, "to": "0xRe…...", "token": "0xA0…B48", "amountDisplay": "100" }
    quoted
  • low Secrets in code secret-high-entropy-token references/api-endpoints.md:942
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "tokenAddress": "0xA0…B48",
    quoted
  • low Secrets in code secret-high-entropy-token references/api-endpoints.md:943
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "spender": "0x7a…88D",
    quoted
  • low Exfiltration net-credential-use scripts/agentwalletapi.sh:299
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    BODY="{\"label\":\"$LABEL_ESC\",\"network\":\"$NETWORK_ESC\",\"exportPassphrase\":\"$PASSPHRASE_ESC\",\"exportPassphraseStorageType\":\"env\",\"exportPassphraseStorageRef\":\"$PASSPHRASE_ENV_ESC\",\"c
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:376
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    { "walletId": "Q7X2K9P", "to": "0xRe…...", "token": "0xA0…B48", "amountDisplay": "100" }
    quoted

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6348 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 54, 113, 221, 224, 316, 373): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 58/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 34 mutating operations with no state check
  • 40Consistency. Frontmatter name (agentwalletapi) differs from the folder (open-claw-cash)
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6348 tokens
  • 100Steps. 182 steps
  • 100Failures and branches. 3 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 19 top-level sections: this looks like several domains in one skill

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 236: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 182 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.