prompt-set-qa
Gate a prompt universe for schema and provenance completeness, target or campaign contamination, evidence entailment, naturalness, one-concept clarity, architecture consistency, aided status, answer leakage, and semantic duplicates. Use after realistic prompt generation and before human panel selection.
npx skills add elvisun/newsjack --skill prompt-set-qa --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Prompt Set QA Decide `pass`, `revise`, `quarantine`, or `reject`. Do not quietly repair upstream work. This skill inherits the ethical floor from `skills/ETHICS.md`. It enforces anti-hallucination, provenance, blinding, and decay-aware review. Anti-spray and human-send are not applicable. ## Inputs Require: - `prompt_universe.json`; - `prompt_architecture.json`; - evidence excerpts and source metadata; - the versioned contamination register; - deterministic normalization, lexical scan, exact-hash, and similarity-pair results; - optional blind human decisions. Reject inputs that include baseline visibility, current rankings, target performance, answer-derived target pages, or selectors' preferred outcomes. ## Run deterministic checks first Check: 1. schema and provenance completeness; 2. unique IDs and resolved references; 3. target, product, domain, people, slogan, proprietary-category, campaign, flattering-claim, and competitor terms; 4. forbidden answer-derived fields; 5. Unicode normalization, language, length, and one-concept shape; 6. exact normalized hashes; 7. lexical similarity candidate pairs; 8. embedding pairs when a fixed model/version is available; 9. architecture co
- Inputs
- Run deterministic checks first
- Review semantically
- Decision rules
- Contamination register
- Output
- Handoff
What does the prompt-set-qa skill do?
Gate a prompt universe for schema and provenance completeness, target or campaign contamination, evidence entailment, naturalness, one-concept clarity, architecture consistency, aided status, answer leakage, and semantic duplicates. Use after realistic prompt generation and before human panel selection.
How do I install it?
Run `npx skills add elvisun/newsjack --skill prompt-set-qa --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From elvisun/newsjack, a repository with 620 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.