AC crypto-safe-portfolio-analyzer-pro
Safe cryptocurrency portfolio tracking and P&L analysis. Monitors portfolio value, calculates profit/loss with custom cost basis, tracks live prices via CoinGecko, and generates detailed reports. Use for portfolio performance tracking, P&L calculation, position monitoring, allocation analysis, and market overviews.
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Secrets in code
secret-high-entropy-tokenreferences/usage-examples.md:11High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)"address": "0x74…B1E",
fixturequoted -
low Secrets in code
secret-high-entropy-tokenreferences/usage-examples.md:56High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)python3 scripts/portfolio-analyzer.py wallet 0x74…B1E --name "Main Wallet"
fixture
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 56/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Steps. 30 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1730 tokens
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
- +1No license
- +2Single-language instructions
- +3Description length 316: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (14 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.