Agent skill

Prompt Set QA

MITAuto-check passed

Install Prompt Set QA

skills CLI

$ npx skills add elvisun/newsjack --skill prompt-set-qa -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install elvisun/newsjack prompt-set-qa --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prompt-set-qa .claude/skills/prompt-set-qa && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "prompt-set-qa" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/prompt-set-qa into .claude/skills/prompt-set-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-set-qa", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/elvisun/newsjack/tree/main/skills/prompt-set-qa

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add elvisun/newsjack --skill prompt-set-qa -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install elvisun/newsjack prompt-set-qa --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/prompt-set-qa .agents/skills/prompt-set-qa && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "prompt-set-qa" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/prompt-set-qa into .agents/skills/prompt-set-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-set-qa", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add elvisun/newsjack --skill prompt-set-qa -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install elvisun/newsjack prompt-set-qa --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/prompt-set-qa .cursor/skills/prompt-set-qa && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "prompt-set-qa" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/prompt-set-qa into .cursor/skills/prompt-set-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-set-qa", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/elvisun/newsjack.git --path skills/prompt-set-qa

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add elvisun/newsjack --skill prompt-set-qa -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install elvisun/newsjack prompt-set-qa --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/prompt-set-qa .gemini/skills/prompt-set-qa && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "prompt-set-qa" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/prompt-set-qa into .gemini/skills/prompt-set-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-set-qa", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install elvisun/newsjack prompt-set-qa

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add elvisun/newsjack --skill prompt-set-qa -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/prompt-set-qa .github/skills/prompt-set-qa && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "prompt-set-qa" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/prompt-set-qa into .github/skills/prompt-set-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-set-qa", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add elvisun/newsjack --skill prompt-set-qa -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install elvisun/newsjack prompt-set-qa --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/prompt-set-qa .opencode/skills/prompt-set-qa && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "prompt-set-qa" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/prompt-set-qa into .opencode/skills/prompt-set-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-set-qa", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: prompt-set-qa
GitHub stars: 1.5k
Token cost: ~1.7k tokens
SKILL.md length: 587 words
Files: 1
Skills in repo: 30
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 9 steps: schema and provenance completeness; → unique IDs and resolved references; → target, product, domain, people, slogan,… → …
SKILL.md covers Inputs, Run deterministic checks first, Review semantically and Decision rules, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prompt Set QA is an agent skill from elvisun/newsjack. 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.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: The open-source skills that turn your agent into a full PR team. The licence is MIT.

Example prompts

“/prompt-set-qa”

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

schema and provenance completeness;
unique IDs and resolved references;
target, product, domain, people, slogan, proprietary-category, campaign, flattering-claim, and competitor terms;
forbidden answer-derived fields;
Unicode normalization, language, length, and one-concept shape;
exact normalized hashes;
lexical similarity candidate pairs;
embedding pairs when a fixed model/version is available;
architecture coverage, budget, and aided/lane consistency.

What it can do on your machine

Read from SKILL.md and the folder at commit b5a8dc8. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml and json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prompt Set QA loads about 1.7k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 587 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~80
When it runs · the whole SKILL.md, loaded when a task matches: ~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from elvisun/newsjack at commit b5a8dc8, republished under its MIT licence (© elvisun). 587 words, ~1,660 tokens.

Download SKILL.mdSave it as .claude/skills/prompt-set-qa/SKILL.md (or your agent's skills folder).

name: prompt-set-qa
description: 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.
metadata.category: AI visibility

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:

schema and provenance completeness;
unique IDs and resolved references;
target, product, domain, people, slogan, proprietary-category, campaign, flattering-claim, and competitor terms;
forbidden answer-derived fields;
Unicode normalization, language, length, and one-concept shape;
exact normalized hashes;
lexical similarity candidate pairs;
embedding pairs when a fixed model/version is available;
architecture coverage, budget, and aided/lane consistency.

Deterministic target or campaign matches are hard failures in unaided core prompts. B0 target aliases pass only through a declared allowed exception. Embedding similarity may nominate a pair; it may never auto-delete.

Review semantically

For each candidate, judge:

evidence-to-prompt entailment;
naturalness and role/locale authenticity;
whether both variants preserve one canonical intent;
proximity, journey, act, expected-answer, and aided-status consistency;
commercial leading or recommendation forcing;
semantic slogan or flattering-claim leakage;
whether answer-derived language entered core;
whether a similar prompt changes a material constraint.

Protect differences in locale, persona, material constraint, competitor-aided status, information act, journey, and expected answer. Merge only when the job, journey, constraints, and answer kind are materially the same.

Archive every removed variant with evidence and reason.

For health, legal, financial, safety, or other high-stakes domains, keep the prompt inside the measured navigation or information boundary. Quarantine prompts that ask the model to diagnose, determine personal suitability, prescribe, or make another professional judgment unless that judgment is explicitly in scope with qualified review. If a response may contain such advice, code it only under the declared answer-framing rubric; never score the advice as professionally correct without a separate validated protocol.

Show full SKILL.md (252 more words)Show less

Decision rules

pass: supported, natural, correctly classified, uncontaminated, and not redundant.
revise: wording can change without altering upstream facts or cell meaning; route the request to realistic-prompt-generation.
quarantine: potentially useful but grade D, answer-derived, semantically suspicious, locale-unreviewed, or awaiting evidence/human decision.
reject: contaminated, unsupported, materially leading, wrong cell, permission failure, or irreparable duplicate.

QA must not:

invent a source, job, ICP, prevalence, or weight;
change the architecture to rescue a prompt;
rewrite a problem into a product recommendation;
select based on target performance;
resolve a disputed core/locale/high-weight decision without a human.

Contamination register

Use:

yaml

target_terms:
  brands: []
  products: []
  domains: []
  people: []
  slogans: []
  proprietary_categories: []
  campaign_terms: []
  flattering_claims: []
competitor_terms: []
allowed_exceptions:
  - band: B0_direct_brand_product
    term_classes: [brands, products]

Run normalized, token, fuzzy, and semantic checks. Ordinary shared words may be legitimate; semantic flags require a recorded human or high-confidence review decision.

Output

Give the human a Markdown QA report first:

accepted/revise/quarantine/reject counts;
contamination failures by class;
duplicate merges/splits and protected differences;
coverage gaps created by rejection;
every disputed core or locale decision for Gate 3.

Then write prompt_qa.json:

json

{
  "schema_version": "1.0.0",
  "artifact_id": "qa-<stable-slug>",
  "created_at": "RFC3339",
  "created_by": "declared agent or human",
  "source_manifest_hash": null,
  "warnings": ["hash_not_computed: compute source_manifest_hash before freeze"],
  "baseline_fields_blinded": true,
  "decisions": [
    {
      "candidate_id": "prompt-001a",
      "status": "pass | revise | quarantine | reject",
      "rule_results": [
        {
          "rule_id": "no-target-term-unaided",
          "status": "pass | fail | review",
          "evidence": []
        }
      ],
      "duplicate_decision": {
        "canonical_cell_id": "cell-001",
        "action": "retain_variant | merge_exact | merge_semantic | split"
      },
      "route_to": "realistic-prompt-generation | prompt-proximity-architecture | buyer-job-intent-analysis | human_gate_3 | null",
      "reason": "Specific evidence-bound reason",
      "review_confidence": "high | medium | low"
    }
  ],
  "accepted_candidate_ids": ["prompt-001a"],
  "counts": {
    "total_candidates": 1,
    "pass": 1,
    "revise": 0,
    "quarantine": 0,
    "reject": 0,
    "accepted": 1
  },
  "gate_status": "ready_for_human_review | needs_revision | stop_permission_failure"
}

Keep every candidate, including rejected drafts, in prompt_universe.json. Emit exactly one decision for every universe candidate and no unknown decision IDs. Derive accepted_candidate_ids and counts from the final decision array in one pass: accepted IDs equal exactly the pass IDs, and every status count plus total_candidates must reconcile. If they do not, the output is invalid; recording the discrepancy in a warning or change ledger does not make it handoff-ready.

Handoff

Human Gate 3 approves core/aided/campaign partitions and disputed decisions while still blind to baseline visibility. Pass only approved candidate IDs and the full rejection ledger to ai-visibility-panel-design.

Files

Just SKILL.md in skills/prompt-set-qa of elvisun/newsjack.

Open the folder on GitHubat commit b5a8dc8

Compare with similar skills

Prompt Set QA next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Prompt Set QA compared with similar skills
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Prompt Set QA this skillelvisun/newsjack	1.5k	—	~1.7k	Automated safety check: Pass	MIT	3 days ago
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Gateplugin87/ux-ui-agent-skills	1.6k	—	~532	Automated safety check: Pass	MIT	2 days ago
Brain Ingest Gategarrytan/gbrain	31k	—	~3.9k	Automated safety check: Pass	MIT	today
Verification Before CompletionjnMetaCode/superpowers-zh	8.3k	—	~443	Automated safety check: Pass	MIT	2 days ago
Delivery Gateaffaan-m/ECC	276k	—	~1.3k	Automated safety check: Pass	MIT	today

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Questions about Prompt Set QA

What does Prompt Set QA 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…. Prompt Set QA is an agent skill from elvisun/newsjack. 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.

How do I install Prompt Set QA in Claude Code?

Run `npx skills add elvisun/newsjack --skill prompt-set-qa -a claude-code`. Or copy the skill folder (skills/prompt-set-qa in elvisun/newsjack) into .claude/skills/prompt-set-qa in your project. Claude Code loads it when a task matches its description.

How do I install Prompt Set QA in Codex?

Run `npx skills add elvisun/newsjack --skill prompt-set-qa -a codex`. Or copy the skill folder (skills/prompt-set-qa in elvisun/newsjack) into .agents/skills/prompt-set-qa in your project. Codex loads it when a task matches its description.

Can I use Prompt Set QA in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add elvisun/newsjack --skill prompt-set-qa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prompt-set-qa, .gemini/skills/prompt-set-qa, .github/skills/prompt-set-qa and .opencode/skills/prompt-set-qa in your project.

What does Prompt Set QA need to run?

SKILL.md names no scripts, command-line tools or credentials: Prompt Set QA is instructions for the agent only.

Does Prompt Set QA access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prompt Set QA safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Prompt Set QA use?

Prompt Set QA is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prompt Set QA use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prompt Set QA?

Skills that share tags, products or a category with Prompt Set QA: Gate Tests (vercel/next.js, 143k stars), Gate (plugin87/ux-ui-agent-skills, 1.6k stars), Brain Ingest Gate (garrytan/gbrain, 31k stars) and Verification Before Completion (jnMetaCode/superpowers-zh, 8.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prompt Set QA?

elvisun (a GitHub user) maintains it in elvisun/newsjack, which has 1,533 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 7, 2026.

Source: elvisun/newsjack on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Prompt Set QA

Facts

At a glance

What it does

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Prompt Set QA

Inputs

Run deterministic checks first

Review semantically

Decision rules

Contamination register

Output

Handoff

Files

Compare with similar skills

Similar skills

More from elvisun/newsjack

Questions about Prompt Set QA