Dbt Databricks PR Ready
databricks/dbt-databricks
A skill your agent uses for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch.
Verify a Docglow change actually works before submitting or merging a PR.
$ npx skills add docglow/docglow --skill pr-verify -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install docglow/docglow pr-verify --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/docglow/docglow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/pr-verify .claude/skills/pr-verify && rm -rf skills-srcUse ~/.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/
Install the "pr-verify" agent skill from https://github.com/docglow/docglow/tree/main/.claude/skills/pr-verify into .claude/skills/pr-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pr-verify", 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 install https://github.com/docglow/docglow/tree/main/.claude/skills/pr-verifyType 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.
$ npx skills add docglow/docglow --skill pr-verify -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install docglow/docglow pr-verify --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/docglow/docglow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/pr-verify .agents/skills/pr-verify && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pr-verify" agent skill from https://github.com/docglow/docglow/tree/main/.claude/skills/pr-verify into .agents/skills/pr-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pr-verify", 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.
$ npx skills add docglow/docglow --skill pr-verify -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install docglow/docglow pr-verify --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/docglow/docglow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/pr-verify .cursor/skills/pr-verify && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pr-verify" agent skill from https://github.com/docglow/docglow/tree/main/.claude/skills/pr-verify into .cursor/skills/pr-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pr-verify", 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 https://github.com/docglow/docglow.git --path .claude/skills/pr-verify--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add docglow/docglow --skill pr-verify -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install docglow/docglow pr-verify --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/docglow/docglow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/pr-verify .gemini/skills/pr-verify && rm -rf skills-srcUse ~/.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/
Install the "pr-verify" agent skill from https://github.com/docglow/docglow/tree/main/.claude/skills/pr-verify into .gemini/skills/pr-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pr-verify", 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.
$ gh skill install docglow/docglow pr-verifyInstalls 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).
$ npx skills add docglow/docglow --skill pr-verify -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/docglow/docglow.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/pr-verify .github/skills/pr-verify && rm -rf skills-srcUse ~/.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/
Install the "pr-verify" agent skill from https://github.com/docglow/docglow/tree/main/.claude/skills/pr-verify into .github/skills/pr-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pr-verify", 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.
$ npx skills add docglow/docglow --skill pr-verify -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install docglow/docglow pr-verify --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/docglow/docglow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/pr-verify .opencode/skills/pr-verify && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pr-verify" agent skill from https://github.com/docglow/docglow/tree/main/.claude/skills/pr-verify into .opencode/skills/pr-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pr-verify", 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.
pr-verifyVerify a Docglow change actually works before submitting or merging a PR.
PR Verify is an agent skill from docglow/docglow. Verify a Docglow change actually works before submitting or merging a PR. Runs the conformance suite, then a behavioral verification pass (flag matrix, artifact-join spot checks, pipeline contract sweep, payload budget). Use when reviewing a PR, self-reviewing a branch before opening a PR, or when asked to "verify this change" or "run pr-verify".
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Data pipelines and ETL. It works with dbt. The repository describes itself as: Modern documentation site generator for dbt Core — lineage explorer, health scoring, full-text search. Live demo: https://demo.docglow.com. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit dd1cfb9. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pythonnpmgitruffmypynpxpipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, git, npx and pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
PR Verify loads about 1.5k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 631 words of instructions outside code blocks.
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.
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.
The full file from docglow/docglow at commit dd1cfb9, republished under its MIT licence (© docglow). 631 words, ~1,488 tokens.
.claude/skills/pr-verify/SKILL.md (or your agent's skills folder).Two phases, in order. Phase 1 proves the author's own tests pass. Phase 2 probes what those tests couldn't see — feature interactions and data semantics. Do not state a verdict ("mergeable", "looks good") until Phase 2 is complete. Green checks in Phase 1 are not evidence of correctness; both real blockers found in past reviews lived entirely in Phase 2.
Work in a git worktree so the main checkout stays untouched:
git worktree add /tmp/pr-verify-<branch> <branch>
cd /tmp/pr-verify-<branch>Gotcha: an editable install (pip install -e) resolves docglow from wherever
it was installed, not the worktree. Prefix Python commands with
PYTHONPATH=$PWD/src or new modules will fail to import.
PYTHONPATH=$PWD/src python -m pytest -q
ruff check src/ tests/
ruff format --check src/ tests/
mypy src/docglow
cd frontend && npm ci && npx tsc --noEmit && npm run test -- --runIf the PR touches src/docglow/static/ (the vendored frontend bundle), verify
it is a faithful rebuild — the minified blob cannot be reviewed by eye:
cd frontend && npm run build
diff -r dist/assets ../src/docglow/static/assets # filenames AND content must match
diff dist/index.html ../src/docglow/static/index.htmlA hash mismatch means the bundle was built from different source than the PR contains. Treat that as a blocker.
If the PR adds a top-level payload key, both exact-key assertions must be
updated: tests/test_data_transformer.py and tests/test_dbt_versions.py.
Generate real sites under every mode that could interact with the change, and inspect the emitted payload each time — exit codes prove nothing. Minimum matrix for generator-touching changes:
| Mode | What to check |
|---|---|
plain --static | new data present and correct |
--select <one model> / --exclude | new data respects filtering; no links to pages that were not generated |
--slim | new payload key included/excluded deliberately, not by accident |
artifacts missing run_results.json | absent data reads as "unknown/not run", never as passing |
| project with none of the relevant resources | empty state, no crash |
PYTHONPATH=$PWD/src python -m docglow generate --project-dir examples/jaffle-shop --static --output-dir /tmp/site-plain
PYTHONPATH=$PWD/src python -m docglow generate --project-dir examples/jaffle-shop --static --select stg_customers --output-dir /tmp/site-selectThen read the embedded payload (grep the output index.html for the new key)
and click through the generated site if the change is user-visible.
For any change that joins or maps dbt artifact data: list every category of
input (each resource_type, each test_type, each materialization — whatever
the relevant axis is) and hand-verify one instance of each category against
the raw manifest.json / run_results.json / catalog.json. Bugs cluster in
the outlier category — e.g. relationships tests order depends_on.nodes with
the referenced model first, so naive [0] indexing picks the wrong resource;
attached_node is the authoritative field. Aggregate counts can be correct
while identities are wrong, so check identities, not counts.
Fixtures to cross-check against: tests/fixtures/, tests/fixtures/dbt-1.8/,
tests/fixtures/dbt-1.9/, examples/jaffle-shop/target/.
If the change adds or modifies a pipeline stage: open default_stages() in
src/docglow/generator/pipeline.py and walk every existing stage, asking "does
the new code respect what this stage established?" In particular:
filter_nodes — does the new stage honor --select/--exclude, or does it
read ctx.artifacts.manifest raw and leak filtered-out resources back in?build_search_index — should the new data be searchable?Any new payload key gets measured, not guessed:
python -c "import json,sys; d=json.load(open('payload.json')); print(len(json.dumps(d['<key>'])))"Report bytes-per-item and project at 5,000 and 20,000 items. Publish and page load are size-sensitive; unbounded keys need a mitigation (omit null fields, drop verbose fields on happy-path items, paginate/virtualize rendering) or an explicit decision to defer.
Payloads generated by older versions lack new keys, and older viewers may
render newer payloads. New DocglowData keys are optional
(readonly key?: T) in packages/shared-types/src/site.ts — follow the
relationships? precedent. The frontend-local mirror/augmentation in
frontend/src/types/index.ts must declare the same optionality, or the build
breaks with TS2717 when shared-types is next republished. Frontend code guards
against the key being absent.
Tier every finding and attach a reproduction to each blocker:
Also report what was verified and how (commands run, sites generated, fixtures cross-checked), so the next reviewer knows what is already covered.
git worktree remove --force /tmp/pr-verify-<branch>© docglow, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/pr-verify of docglow/docglow.
Open the folder on GitHubat commit dd1cfb9
PR Verify 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| PR Verify this skilldocglow/docglow | 148 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Dbt Databricks PR Readydatabricks/dbt-databricks | 380 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Mz Dbt ReleaseMaterializeInc/materialize | 6.4k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Erd Studio Setupliam-machine/erd-studio | 165 | — | ~8.5k | Automated safety check: Pass | Custom licence | |
| Migrating Dagster To Airflowastronomer/agents | 451 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Dbt Parser Refreshyu-iskw/dbt-artifacts-parser | 118 | — | ~716 | Automated safety check: Pass | Apache-2.0 |
databricks/dbt-databricks
A skill your agent uses for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch.
MaterializeInc/materialize
Cut a dbt-materialize PyPI release: bump the version in version.py and setup.py, date the Unreleased CHANGELOG entry, and open the release PR with a Ship: <url body.
liam-machine/erd-studio
Friendly, step-by-step setup for ERD Studio in an existing dbt project, for people who may be new to dbt or data modelling.
astronomer/agents
Guide for migrating Dagster projects to Apache Airflow 3 on Astro.
yu-iskw/dbt-artifacts-parser
Refreshes dbt artifact schemas from dbt-labs/dbt-core and regenerates Pydantic parser classes.
godatadriven/dbt-bouncer
Analyzes a dbt project and suggests dbt-bouncer checks that already pass (for existing projects) or a sensible starter config (for greenfield projects).
Works with
Categories
Verify a Docglow change actually works before submitting or merging a PR. PR Verify is an agent skill from docglow/docglow. Verify a Docglow change actually works before submitting or merging a PR.
PR Verify fits situations like: self-reviewing a branch before opening a PR; asked to verify this change.
Run `npx skills add docglow/docglow --skill pr-verify -a claude-code`. Or copy the skill folder (.claude/skills/pr-verify in docglow/docglow) into .claude/skills/pr-verify in your project. Claude Code loads it when a task matches its description.
Run `npx skills add docglow/docglow --skill pr-verify -a codex`. Or copy the skill folder (.claude/skills/pr-verify in docglow/docglow) into .agents/skills/pr-verify in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add docglow/docglow --skill pr-verify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pr-verify, .gemini/skills/pr-verify, .github/skills/pr-verify and .opencode/skills/pr-verify in your project.
Going by SKILL.md and its folder, PR Verify needs the command-line tools its instructions call (python, npm, git, ruff, mypy and npx). Our summary lists: Python 3; Node.js.
SKILL.md contains no URLs. Its commands use npm, git, npx and pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
PR Verify is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with PR Verify: Dbt Databricks PR Ready (databricks/dbt-databricks, 380 stars), Mz Dbt Release (MaterializeInc/materialize, 6.4k stars), Erd Studio Setup (liam-machine/erd-studio, 165 stars) and Migrating Dagster To Airflow (astronomer/agents, 451 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
docglow (a GitHub organization) maintains it in docglow/docglow, which has 148 GitHub stars. The repository was last updated on September 26, 2026.
Source: docglow/docglow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.