Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add orchestra-hq/orchestra-skills --skill orchestra-dbt-slim-ci-setupgit clone --depth 1 https://github.com/orchestra-hq/orchestra-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/orchestra-hq/orchestra-skills/orchestra-dbt-slim-ci-setup)<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/orchestra-dbt-slim-ci-setup"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/orchestra-dbt-slim-ci-setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/orchestra-dbt-slim-ci-setup"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/orchestra-dbt-slim-ci-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00119 | $0.02138 |
| Opus 5.5 | $0.00048 | $0.00855 |
| Sonnet 5.5 | $0.00024 | $0.00428 |
| Haiku 4.5 | $0.00012 | $0.00214 |
Grade A, and why
orchestra-dbt-slim-ci-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestra dbt Slim CI setup
Retrofit Slim CI onto an existing production dbt Orchestra pipeline (one pipeline for prod and CI). Generate or patch repo artifacts, validate pipeline YAML, and leave a verification checklist. Do not assume warehouse or Git connections can be created via API.
When to use
- User asks to set up Slim CI, dbt CI/CD in Orchestra, or
run-pipelinefor dbt PR checks. - User asks what is missing from, or how to clean up, an existing dbt CI setup.
- Workspace is a dbt repo or user supplies dbt repo paths and pipeline YAML location.
- Default scope: retrofit an existing production pipeline and reuse its production dbt Core task; do not create a CI-only pipeline or a second dbt Core task for CI — artifact history is per task (see Guardrails).
Companion skill
After setup, failed PR checks or pipeline runs: start with identify-pipeline-error (SKILL.md) to find the failing task and cause; it routes dbt code/config issues to fix-pipeline-dbt-task (SKILL.md). Do not merge debug steps into this skill.
Workflow
- Collect inputs — Follow references/inputs-matrix.md. Ask for must-haves; discover from repo when in a dbt project. Pipeline and task ids can come from the step 4 audit.
- Detect context — In dbt repo: read
dbt_project.yml,profiles.yml,orchestra/,.github/workflows/. Outside: require repo URL, pipeline YAML path, and where GHA lives. - Load Orchestra docs — Follow references/orchestra/mcp-playbook.md (Orchestra Documentation MCP, then Orchestra MCP).
- Check for earlier attempts — Depth follows the ask (references/audit-existing-setup.md):
- Implement (user names a pipeline and asks to set up Slim CI): quick conflict check only. No conflicts → carry on to step 5 without stopping. Conflicts → name them in a line each and ask only about those; the retrofit itself doesn't wait on the answer unless the conflict is the same pipeline.
- Audit (user asks what's missing, to clean up or consolidate, or names no pipeline): full sweep, gap table and numbered fix plan, then stop for approval. Later steps run only for approved gaps; nothing to fix → skip to step 11.
- Inventory pipeline — Read the keeper pipeline's YAML. Checklist: references/retrofit-checklist.md.
- Patch pipeline YAML — Minimal changes from templates/pipeline-inputs-snippet.yml:
dbt_branch,dbt_command(default = current prod command incl.--target ${{ ENV.DBT_TARGET }}), optionaldbt_ci_schema_suffixpassed to the task asDBT_CI_SCHEMA_SUFFIX, andmax_active: ${{ ENV.DBT_PIPELINE_CONCURRENCY }}+on_limit: ${{ ENV.DBT_PIPELINE_ON_LIMIT }}so CI can run PRs in parallel while prod stays at 1 and merge-triggered deploys queue instead of being skipped. Git-backed: commit YAML; do not useupdate_pipeline. Orchestra-backed only:validate_pipelinethencreate_pipeline/update_pipeline. - Orchestra environments — CI and prod environments (names case-sensitive) with
DBT_TARGET(ci/prod),DBT_PIPELINE_CONCURRENCY(e.g.5/1) andDBT_PIPELINE_ON_LIMIT(QUEUE_LATEST/QUEUE; flag the cross-PR skip in references/retrofit-checklist.md before settingQUEUE_LATEST). Manual unless the environment MCP tools are available and the user approves. - dbt project —
citarget alongsideprodin the Orchestra dbt connection'sprofiles.yml(itsschemais the per-PR prefix, e.g.ci→ci_123). Add or merge templates/dbt/generate_schema_name.sql and templates/dbt/drop_ci_schema.sql intomacros/; if the project already overridesgenerate_schema_name, add only thecibranch. Projects with incremental models: add templates/dbt/selectors.yml. Bootstraplatest_productionfor that same dbt task (one successful run of it on the dbt repo default branch). - GitHub Actions — Add or patch templates/github-dbt-slim-ci.yml: PR job (CI env,
cancel_on_exit: true, PR number asdbt_ci_schema_suffix), deploy job on merge (prod env,dbt_branch: main), and clean-up job droppingci_<PR number>on close. Pinorchestra-hq/[email protected]+ (cancel_on_exitneeds it). Incremental models: swap in thedbt_commandvalues from templates/github-dbt-slim-ci-incremental.yml, after agreeing with the user whether CI starts from adbt cloneof production or from--deferalone — the two differ in test fidelity, run time, whatci_<PR number>ends up holding and what thecirole must reach (references/retrofit-checklist.md). Add--favor-stateso a reverted model on a long-lived PR branch is read from production rather than from a stale CI relation. Ask how merges should deploy (rebuild modified, full refresh, or leave to the schedule) before keeping the deploy job. Separate pipeline repo: Actionbranch= pipeline YAML branch;dbt_branchonly inrun_inputs. - Secrets checklist —
ORCHESTRA_API_KEYsecret; pipeline id as a secret orvars.ORCHESTRA_DBT_PIPELINE_ID. Warehouse creds stay in the Orchestra dbt connection, so GitHub never needs them — including for schema clean-up. - Validate —
validate_pipelinewhen definition available;dbt parsewhen possible.start_pipelinewith SlimrunInputsonly with user approval. - Report — Use references/completion-report.md.
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/audit-existing-setup.md 5.2 KB
- references/completion-report.md 4.3 KB
- references/inputs-matrix.md 3.4 KB
- references/orchestra-slim-ci.md 3.9 KB
- references/retrofit-checklist.md 11 KB
- templates/dbt/drop_ci_schema.sql 552 B
- templates/dbt/generate_schema_name.sql 666 B
- templates/dbt/selectors.yml 507 B
- templates/github-dbt-slim-ci-incremental.yml 4.9 KB
- templates/github-dbt-slim-ci.yml 3.6 KB
- templates/pipeline-inputs-snippet.yml 1.5 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed · +1 lines a7d02b2a64d5
- 8d ago Changed a5696d651a35
- 12d ago Changed · +8 lines · +30 tokens per session 2a821fc3360d
- 1mo ago First seen · 57 lines · 89 tokens per session scan A 4459e0cdb466
orchestra-dbt-slim-ci-setup is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 119 tokens to every session and 2,138 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-09.
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