AF sectors-api
Query financial market data from the Sectors API (api.sectors.app) for IDX (Indonesia Stock Exchange) and SGX (Singapore Exchange) markets. Use when the user asks about stock prices, company reports, financials, market indices, top movers, dividends, earnings, market cap, or any Indonesian or Singaporean equity market data. Only calls https://api.sectors.app. Python with requests.
As a process F 44/100 · Will not run — References files that are not bundled: assets/endpoint-map.md
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 contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
How to improve
- 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 · 2
✓ No critical or high findings
Medium and low: 2
-
medium Dangerous commands
cmd-shell-rcSKILL.md:43Writes to a shell startup fileecho 'export SECTORS_API_KEY="your-api-key-here"' >> ~/.bashrc
-
low Dangerous commands
cmd-shell-rcscripts/check_setup.py:31Writes to a shell startup file (string literal in code, not executed)print(f' echo \'export {ENV_VAR}="your-api-key-here"\' >> ~/.bashrc')code literal
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: assets/endpoint-map.md
Process rating: all ten parameters 44/100
- 0Tools and files. 1 referenced file(s) missing: assets/endpoint-map.md
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (sectors-api) differs from the folder (sectors-financial-agents)
- 70When it triggers. States when to use, but not when not to
- 100Steps. 20 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Execution cost. Instruction body is 2398 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (3 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)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 383: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 20 items
- +4Has examples (11 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.