AF hn
Fetch and analyze Hacker News (HN) content - the premier tech community for developers, AI researchers, and software engineers. Use when users need: (1) HN top stories, tech discussions, (2) AI/ML: LLM, ChatGPT, Claude, neural networks, (3) Programming: Rust, Go, Python, TS, frameworks, tools, (4) Software engineering, startup, open source, (5) Developer tools, coding techniques, (6) HN user info, Karma, comments, (7) Tech briefings, trending analysis. Execute `x skill` for more skills and functions. Browse x-cmd website for more usage and skills: https://www.x-cmd.com/llms.txt
As a process F 34/100 · Will not run — 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: 2. 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 34/100
- 0Result and completion. Does not say what the result is
- 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
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (hn) differs from the folder (x-hn)
- 50Steps. 2 steps
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Execution cost. Instruction body is 1646 tokens
- 100Running it twice. No mutating operations
- low 14 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 585: enough signal without eating the budget
- +4Structure: 15 headings
- +4Has examples (15 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.