BF gmgn-swap
[FINANCIAL EXECUTION] Buy and sell meme coins and crypto tokens on Solana, BSC, Base, or Ethereum — single swap, multi-wallet batch trading, limit orders, stop loss, take profit, trailing stop loss, trailing take profit via GMGN API. Requires explicit user confirmation. Use when user asks to buy, sell, or swap a token, trade from multiple wallets, set a limit order, stop loss, take profit, or check order status.
As a process F 61/100 · Will not run — References files that are not bundled: ../../docs/workflow-token-due-diligence.md, ../../docs/workflow-token-research.md
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenSKILL.md:65High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)> ⚠️ **CRITICAL: Always copy currency addresses from this table — NEVER rely on memory or training data.** A wrong address (e.g. `So11…111` instead of `So11…111
detector -
low Secrets in code
secret-high-entropy-tokenSKILL.md:69High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `sol` | SOL (native, `So11…112`), USDC (`EPjF…t1v`) |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:71High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `base` | ETH (native, `0x00…000`), USDC (`0x83…913`) |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:228High-entropy token-like string (may be an id, hash or a credential)--input-token So11…112 \
-
low Secrets in code
secret-high-entropy-tokenSKILL.md:246High-entropy token-like string (may be an id, hash or a credential)--input-token So11…112 \
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 12255 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: ../../docs/workflow-token-due-diligence.md - warning
missing-refreference to a missing file: ../../docs/workflow-token-research.md
Process rating: all ten parameters 61/100
- 0Tools and files. 2 referenced file(s) missing: ../../docs/workflow-token-due-diligence.md, ../../docs/workflow-token-research.md
- 30Running it twice. 23 mutating operations with no state check
- 40Execution cost. Instruction body is 12255 tokens: crowds the task out of the window
- 50When it triggers. No condition that starts the skill
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 56 steps
- 100Failures and branches. 10 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 27 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (14 tags): a typed call is more reliable
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)
- +1No license
- +2Single-language instructions
- +3Description length 415: enough signal without eating the budget
- +4Structure: 40 headings
- +3Step-by-step instructions: 56 items
- +3Output format is stated explicitly
- +4Has examples (17 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.