AC hkex-li-daily-factor-monitor
Fetch the latest HKEXnews "Daily Targeted Leverage Factor" announcement(s) for HKEX-listed Leveraged & Inverse (L&I) products, extract each product's daily targeted leverage factor from the announcement PDF, and emit a human-readable Telegram digest — product rows in a monospace code block grouped by applicable date, with source PDF links below — ready to display in the OpenClaw channel. Use for daily manual runs or a scheduled cron check of the next trading day's L&I factors. Agent-native: curl + jq for discovery, pdftotext for PDF text, the agent reasons out the factor table. PDFs are downloaded per-run and deleted after parsing (HKEX PDFs are copyrighted).
Fetch the latest HKEXnews "Daily Targeted Leverage Factor" announcement(s) for HKEX-listed Leveraged & Inverse (L&I) products, extract each product's daily…
As a process C 51/100 · 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 · 0
✓ No critical or high findings
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 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 13 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 70Execution cost. Instruction body is 4885 tokens
- 85Steps. 45 steps, 1 vague phrases
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- high The skill tells the model to perform an irreversible action with no human approval
- low The response is described with custom markup (7 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
- -31 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 667: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 45 items
- +4Has examples (14 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.