AC il-stock-analysis
Comprehensive Israeli stock analysis for TASE-listed securities including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Supports Hebrew and English queries, TASE tickers, and ETF numbers. Use when user requests analysis of Israeli stocks (e.g., "analyze ALRT", "compare Bank Leumi vs Bank Hapoalim", "analyze ETF 510893"), evaluation of financial metrics, technical chart analysis, or investment recommendations for securities traded on TASE (Tel Aviv Stock Exchange).
As a process C 60/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, 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 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 · 2
✓ No critical or high findings
Medium and low: 2
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medium Exfiltration
net-credential-usescripts/fetch_tase_data.sh:32Credential used in a network call (verify the destination is the intended service)local result=$(curl -s "https://finnhub.io/api/v1/quote?symbol=…&token=…")
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low Exfiltration
exfil-secret-in-urlscripts/fetch_tase_data.sh:32Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)local result=$(curl -s "https://finnhub.io/api/v1/quote?symbol=…&token=…")
placeholder
Files scanned: 8. 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 60/100
- 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. 2 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 85Steps. 222 steps, 2 vague phrases
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3465 tokens
- low 10 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)
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 615: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 222 items
- +3Output format is stated explicitly
- +4Has examples (0 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 99.