CB liquidity-planner
Plan liquidity provision on PancakeSwap. Use when user says "add liquidity on pancakeswap", "provide liquidity", "LP on pancakeswap", "farm pancakeswap", or describes wanting to deposit tokens into liquidity pools without writing code.
As a process B 70/100 · Nearly there — weak spots: when it triggers, consistency, running it twice
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 asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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".
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.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.
Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.
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 · 11
✓ No critical or high findings
Medium and low: 11
-
medium Broad scope
meta-broad-allowed-toolsSKILL.md:1Broad tool permissions pre-approved: Bash(curl:*)allowed-tools: Read Write Edit Glob Grep Bash(curl:*) Bash(jq:*) Bash(cast:*) Bash(xdg-open:*) Bash(open:*) WebFetch WebSearch Task(subagent_type:Explore) AskUserQuestion
-
medium Exfiltration
net-credential-useSKILL.md:119Credential used in a network call (verify the destination is the intended service)curl -s -G "https://api.dexscreener.com/latest/dex/search" --data-urlencode "q=$KEYWORD" | \
-
medium Exfiltration
net-credential-useSKILL.md:217Credential used in a network call (verify the destination is the intended service)curl -s "https://api.dexscreener.com/latest/dex/tokens/${TOKEN_A}" | \ -
medium Obfuscation
obf-base64-blobSKILL.md:428Long base64-looking blobhttps://pancakeswap.finance/stable/add/0x55…955/0x8A…80d?chain=bsc
-
medium Obfuscation
obf-base64-blobSKILL.md:433Long base64-looking blobhttps://pancakeswap.finance/add/0x55…955/0xe9…D56/100?chain=bsc
-
medium Obfuscation
obf-base64-blobSKILL.md:526Long base64-looking blobhttps://pancakeswap.finance/stable/add/0x55…955/0x8A…80d?chain=bsc
-
low Secrets in code
secret-high-entropy-tokenSKILL.md:173High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)TOKEN="0x0E…E82" # CAKE
detector -
low Secrets in code
secret-high-entropy-tokenSKILL.md:187High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)TOKEN="0x0E…E82"
detector -
low Secrets in code
secret-high-entropy-tokenSKILL.md:210High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)TOKEN_A="0x0E…E82" # CAKE
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:244High-entropy token-like string (may be an id, hash or a credential) (placeholder value)PAIR="0xA5…bcc" # CAKE-BNB example
placeholder -
low Secrets in code
secret-high-entropy-tokenSKILL.md:487High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)tokenA: '0x0E…E82', // CAKE
quoted
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5803 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 70/100
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (liquidity-planner) differs from the folder (pcs-lp-planner)
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5803 tokens
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 85 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
- +4Description does not say when NOT to use the skill (false activations)
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 235: enough signal without eating the budget
- +4Structure: 41 headings
- +3Step-by-step instructions: 85 items
- +3Output format is stated explicitly
- +4Has examples (21 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.