Agent skill

Z Grounded Source QA

by tjxj in tjxj/z-skills

A skill your agent uses whenever the user wants answers, summaries, comparisons, decisions, quotations, persona simulations, articles, scripts, or claim checks that must stay grounded in…

No licenceAuto-check passedKnowledge Management

Install Z Grounded Source QA

skills CLI
$ npx skills add tjxj/z-skills --skill z-grounded-source-qa -a claude-code

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

GitHub CLI
$ gh skill install tjxj/z-skills z-grounded-source-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/tjxj/z-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/z-grounded-source-qa .claude/skills/z-grounded-source-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/

Facts

Skill name
z-grounded-source-qa
GitHub stars
547
Token cost
~1.7k tokens
SKILL.md length
692 words
Files
17 (incl. scripts, references)
Skills in repo
15
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses whenever the user wants answers, summaries, comparisons, decisions, quotations, persona simulations, articles, scripts, or claim checks that must stay grounded in…

  • Works in 8 steps: Restate the user's question as a claim… → Generate 3–8 retrieval expressions… → Run the deterministic retrieval script → …
  • The user wants answers
  • SKILL.md covers Start with the source contract, Retrieval workflow, Evidence discipline and Answer modes, plus 3 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Z Grounded Source QA is an agent skill from tjxj/z-skills. Use this skill whenever the user wants answers, summaries, comparisons, decisions, quotations, persona simulations, articles, scripts, or claim checks that must stay grounded in user-provided local source files. Trigger for source-grounded QA, evidence-based answering, corpus questions, transcript analysis, “只根据这些资料回答”, “按原文核对”, “给出页码/时间戳/出处”, “不要编”, “从访谈里找依据”, and reusable question answering over Markdown or text corpora. Run multi-expression retrieval, preserve source locations, separate supported claims from…

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including scripts and reference files (for example `README.md`, `evals/evals.json` and `evals/fixtures/incident-review.md`).

It sits in Knowledge Management, covering Source-grounded notebooks. The repository describes itself as: A collection of reusable skills.

When your agent uses it

  • The user wants answers
  • Persona simulations
  • Claim checks that must stay grounded in user-provided local source files
  • Source-grounded QA

Example prompts

  • “只根据这些资料回答”
  • “给出页码/时间戳/出处”
  • “从访谈里找依据”
  • “/z-grounded-source-qa”

Requirements

  • Python 3

Workflow steps

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

  1. Restate the user's question as a claim or decision to resolve
  2. Generate 3–8 retrieval expressions covering
  3. Run the deterministic retrieval script
  4. Inspect the evidence objects for coverage, location, and context
  5. Map each intended claim to evidence
  6. If the evidence covers only part of the question, change the expressions and run a second retrieval
  7. Read the closest source sections directly when results are fragmented, conflicting, or low-confidence
  8. Draft only after the evidence set is sufficient

What it can do on your machine

Read from SKILL.md and the folder at commit a29467e. 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

    Ships 3 files in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Z Grounded Source QA loads about 1.7k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 153 tokens; SKILL.md has 692 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~153
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 692 words (~1,699 tokens).

“Turn arbitrary local Markdown or text files into a traceable evidence base for answering, synthesis, comparison, writing, and persona simulation.”

— opening of SKILL.md by tjxj
name
z-grounded-source-qa

Read the full SKILL.md on GitHub

Files

SKILL.md and 16 other files (scripts, references) in z-grounded-source-qa of tjxj/z-skills.

  • SKILL.md
  • README.md
  • evals/evals.json
  • evals/fixtures/incident-review.md
  • evals/fixtures/policy-v1.md
  • evals/fixtures/policy-v2.md
  • evals/fixtures/product-interview.md
  • examples/reimbursement-policy-demo.md
  • references/evidence-contract.md
  • references/source-preparation.md
  • references/specialization-guide.md
  • scripts/create_specialized_skill.py
  • scripts/prepare_pdftotext.py
  • scripts/search_evidence.py
  • tests/test_create_specialized_skill.py
  • … and 2 more

Open the folder on GitHubat commit a29467e

Compare with similar skills

Z Grounded Source 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.

Z Grounded Source QA compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Z Grounded Source QA this skilltjxj/z-skills547—~1.7kAutomated safety check: PassNone
Zlibrary To Notebooklmzstmfhy/zlibrary-to-notebooklm1.7k1 repos~968Automated safety check: PassMIT
Multi-Source to NotebookLM Processorjoeseesun/qiaomu-anything-to-notebooklm6.2k—~3.6kAutomated safety check: PassMIT
Learn From Materialsdmoshehun-prog/learn-from-materials937—~7.9kAutomated safety check: PassMIT
NotebookLM Research Workflowclaude-world/notebooklm-skill467—~1.8kAutomated safety check: PassMIT
Nlmtmc/nlm390—~2.2kAutomated safety check: NotesMIT

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Questions about Z Grounded Source QA

What does Z Grounded Source QA do?

A skill your agent uses whenever the user wants answers, summaries, comparisons, decisions, quotations, persona simulations, articles, scripts, or claim checks that must stay grounded in…. Z Grounded Source QA is an agent skill from tjxj/z-skills. Use this skill whenever the user wants answers, summaries, comparisons, decisions, quotations, persona simulations, articles, scripts, or claim checks that must stay grounded in user-provided local source files.

When should I use Z Grounded Source QA?

Z Grounded Source QA fits situations like: the user wants answers; persona simulations; claim checks that must stay grounded in user-provided local source files; source-grounded QA.

How do I install Z Grounded Source QA in Claude Code?

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

How do I install Z Grounded Source QA in Codex?

Run `npx skills add tjxj/z-skills --skill z-grounded-source-qa -a codex`. Or copy the skill folder (z-grounded-source-qa in tjxj/z-skills) into .agents/skills/z-grounded-source-qa in your project. Codex loads it when a task matches its description.

Can I use Z Grounded Source 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 tjxj/z-skills --skill z-grounded-source-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/z-grounded-source-qa, .gemini/skills/z-grounded-source-qa, .github/skills/z-grounded-source-qa and .opencode/skills/z-grounded-source-qa in your project.

What does Z Grounded Source QA need to run?

Going by SKILL.md and its folder, Z Grounded Source QA needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Z Grounded Source 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 Z Grounded Source 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Z Grounded Source QA use?

No licence was found for Z Grounded Source QA or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Z Grounded Source QA use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Z Grounded Source QA?

Skills that share tags, products or a category with Z Grounded Source QA: Zlibrary To Notebooklm (zstmfhy/zlibrary-to-notebooklm, 1.7k stars), Multi-Source to NotebookLM Processor (joeseesun/qiaomu-anything-to-notebooklm, 6.2k stars), Learn From Materials (dmoshehun-prog/learn-from-materials, 937 stars) and NotebookLM Research Workflow (claude-world/notebooklm-skill, 467 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Z Grounded Source QA?

tjxj (a GitHub user) maintains it in tjxj/z-skills, which has 547 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 22, 2026.

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