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 triage-orchestra-pipelinegit 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/triage-orchestra-pipeline)<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/triage-orchestra-pipeline"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/triage-orchestra-pipeline/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/triage-orchestra-pipeline"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/triage-orchestra-pipeline.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 | $0.00153 | $0.03116 |
| Opus 5.5 | $0.00061 | $0.01246 |
| Sonnet 5.5 | $0.00031 | $0.00623 |
| Haiku 4.5 | $0.00015 | $0.00312 |
Grade A, and why
triage-orchestra-pipeline 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 1mo 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Triage Orchestra Pipeline
Diagnose a failed (or symptom-reported) pipeline, open a fix PR, validate it on the branch, then present a compact triage report and stop for human approval. Nothing merges to main until the user says so.
Shared references
Orchestra docs live under references/orchestra/. Index and layout: ../../references/orchestra/README.md. Paths below are relative to this skill folder.
Pipeline
../../references/orchestra/pipeline/diagnosis-patterns.md— error classification../../references/orchestra/pipeline/remediation-playbooks.md— fix strategies../../references/orchestra/pipeline/knowledge-store.md— (optional) local fix history; prefer your client's persistent memory
MCP
../../references/orchestra/mcp/tools-quick-ref.md— tool arguments and behaviour (useget_pipelineto read a pipeline's full definition)
Workflow
Step 0 — Parse the prompt: error-first or symptom-first?
Before doing anything, classify the input:
Error-first — the pipeline has a red status, or the user gives a run ID/URL/UUID, or says "my pipeline failed". Skip to Step 1.
Symptom-first — the user describes something wrong in a downstream system without mentioning a pipeline error: "Lightdash dashboard looks wrong", "numbers are off", "chart is stale", "dbt model returning bad values". Go to Step 0b.
Step 0b — Symptom-first: start at the named layer, traverse upstream
Goal: Find the root cause by starting at the system the user named and walking backwards through the pipeline until something is wrong.
0b-1. Map the symptom to a pipeline task
Extract the system keyword from the prompt (e.g. "Lightdash", "dbt", "Fivetran").
Call list_pipeline_runs for the relevant pipeline to get the most recent run.
Call list_task_runs for that run to get all tasks and their execution order.
Match the keyword to a task via the integration field (e.g. LIGHTDASH, DBT_CORE,
FIVETRAN). This is the entry task. If no pipeline is named, ask the user which
pipeline to check before proceeding.
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.
- 1mo ago Changed · +3 lines a9519ea698fa
- 1mo ago First seen · 318 lines · 153 tokens per session scan A 4af805a30542
triage-orchestra-pipeline is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 153 tokens to every session and 3,116 once invoked, about $0.0006 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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