BC position-size-calculator
Position size calculator for stocks and ETFs, pre-filled with the ticker's own last price instead of empty boxes: enter an account size and the percentage of it to put at risk on one trade, and it returns the share count, the position dollar value, the percent of the account deployed, the dollar at risk to the stop and the R multiple to an optional target, with entry, stop and target drawn on one price scale. The 15 minute delayed last price, the SentiSense Score and a 14 session average true range are bound in at build time, so a stop distance can be read against how far the stock actually moves in an ordinary day. It divides the numbers you enter and never picks a stock, an entry or an amount. Renders offline, no live call at view time. Use for position size calculator, position sizing calculator, risk per trade calculator, how many shares to buy, stop loss calculator, risk management calculator, 1% rule, R multiple. Read-only. No trading, no purchases, no write operations, no wallet access.
Position size calculator for stocks and ETFs, pre-filled with the ticker's own last price instead of empty boxes: enter an account size and the percentage of…
As a process C 58/100 · Has gaps — weak spots: result and completion, running it twice, progress reporting
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 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.
How to improve
- 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 · 1
✓ No critical or high findings
Medium and low: 1
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medium Exfiltration
net-credential-useSKILL.md:117Credential used in a network call (verify the destination is the intended service)curl -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" \
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "requires" - note
frontmatter-keyunknown frontmatter key "primaryEnv"
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. 5 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 4824 tokens
- 100Steps. 40 steps
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 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)
- +3Description length 1008: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 15 headings
- +3Step-by-step instructions: 40 items
- +4Has examples (4 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.