AC horizontal-vertical-analysis
Deep-research skill for Chinese outputs using 横纵分析 / Horizontal-Vertical Analysis. Use when Codex needs to systematically study a product, company, concept, technology, market, or person: rebuild the full life-cycle on a vertical timeline, compare current peers or substitutes on a horizontal slice, cross the two axes into original insight, separate facts from inferences, and deliver a structured report or optional PDF. Not for quick definitions, gossip, or unsupported legal / investment due diligence.
As a process C 61/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency
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: 10. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Deep-research skill for Chinese outputs using 横纵分析 / Horizontal-Ve… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 61/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (horizontal-vertical-analysis) differs from the folder (cell-horizontal-vertical-analysis)
- 50When it triggers. No condition that starts the skill
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 81 steps
- 100Execution cost. Instruction body is 757 tokens
- 100Running it twice. No mutating operations
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 506: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 81 items
- +3Output format is stated explicitly
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.