BC bitget-wallet
Interact with Bitget Wallet API for crypto market data, token info, swap quotes, and security audits. Use when the user asks about token prices, market data, swap/trading quotes, token security checks, K-line charts, or token rankings on supported chains (ETH, SOL, BSC, Base, etc.).
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
The same skill appears in 1 more place: ClawHub
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.
Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 14
✓ No critical or high findings
Medium and low: 14
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medium Concealment
en-hide-from-userSKILL.md:182Instruction to hide actions from the user (documentation of a security skill)Before executing any swap, the agent should silently run risk checks and then present a **single confirmation summary** to the user. Do not prompt the user at every step.
security skill -
low Secrets in code
secret-high-entropy-tokenCOMPATIBILITY.md:105High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)> "Clone https://github.com/bitget-wallet-ai-lab/bitget-wallet-skill and use it to: 1) Get current price of SOL 2) Get current price of ETH 3) Run security audit on USDC on Solana (contract: EPjFWdd5A
quoted -
low Secrets in code
secret-high-entropy-tokenCOMPATIBILITY.md:114High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- `python3 scripts/bitget_api.py security --chain sol --contract EPjF…t1v`
quoted -
low Secrets in code
secret-high-entropy-tokenCOMPATIBILITY.md:227High-entropy token-like string (may be an id, hash or a credential)> 3. Run a security audit on USDC on Solana (contract: EPjF…t1v)
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low Secrets in code
secret-high-entropy-tokenREADME.md:58High-entropy token-like string (may be an id, hash or a credential)--from-chain base --from-contract 0x83…913 \
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low Secrets in code
secret-high-entropy-tokenREADME.md:59High-entropy token-like string (may be an id, hash or a credential)--to-chain bnb --to-contract 0x55…955 \
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low Secrets in code
secret-high-entropy-tokenREADME.md:64High-entropy token-like string (may be an id, hash or a credential)--from-chain base --from-contract 0x83…913 \
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low Secrets in code
secret-high-entropy-tokenREADME.md:65High-entropy token-like string (may be an id, hash or a credential)--to-chain bnb --to-contract 0x55…955 \
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low Secrets in code
secret-high-entropy-tokenREADME.md:179High-entropy token-like string (may be an id, hash or a credential)--to-contract EPjF…t1v \
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low Secrets in code
secret-high-entropy-tokenSKILL.md:160High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| Ethereum (`eth`) | `0xdA…ec7` | `0xA0…B48` |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:161High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| BNB Chain (`bnb`) | `0x55…955` | `0x8A…80d` |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:162High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| Base (`base`) | `0xfd…bb2` | `0x83…913` |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:163High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| Arbitrum (`arbitrum`) | `0xFd…bb9` | `0xaf…831` |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:164High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| Optimism (`optimism`) | `0x94…e58` | `0x0b…f85` |
table
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 12990 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "updated"
Process rating: all ten parameters 57/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (bitget-wallet) differs from the folder (bgw-wallet-api)
- 40Execution cost. Instruction body is 12990 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 100Steps. 169 steps
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 22 branches, has a failure section
- 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
- -239 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 283: enough signal without eating the budget
- +4Structure: 46 headings
- +3Step-by-step instructions: 169 items
- +4Has examples (29 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.