rocketride-running-pipelines

rocketride-running-pipelines is a skill for Claude Code, Codex from rocketride-org/rocketride-server. It costs 48 tokens per session (1,827 once invoked), scanned A, original, MIT.

A workflow for running an already validated RocketRide pipeline and reporting its actual result. A pipeline is a sequence of connected processing steps.

In plain words
What is it for?
Use it to submit an approved pipeline, provide its input, monitor completion, and return the resulting output.
Why use it?
It prevents claiming success merely because a run was submitted; the run must be checked until it finishes and its output is read.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to submit an approved pipeline, provide its input, monitor completion, and return the resulting output.

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Install with agentmods
npx agentmods add skills/rocketride-org/rocketride-server/rocketride-running-pipelines
About the project

RocketRide is an open-source AI development environment and data-pipeline runtime that lets developers compose, debug, observe, and deploy model-based workflows from an IDE or terminal. Its C++ engine runs portable pipelines with extensible nodes for language models, vector databases, document processing, and agent orchestration on the user's infrastructure. The catalogue entries relate to operating and developing with RocketRide's workflows, SDKs, and tooling.

rocketride-org/rocketride-server · 17,809 stars · on GitHub

Install

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.

Any agent
npx skills add rocketride-org/rocketride-server --skill rocketride-running-pipelines
Clone the repo
git clone --depth 1 https://github.com/rocketride-org/rocketride-server

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for rocketride-running-pipelines

README.md
[![agentmods](https://agentmods.dev/badge/skills/rocketride-org/rocketride-server/rocketride-running-pipelines/github.svg)](https://agentmods.dev/skills/rocketride-org/rocketride-server/rocketride-running-pipelines)
Your own site
<a href="https://agentmods.dev/skills/rocketride-org/rocketride-server/rocketride-running-pipelines"><img src="https://agentmods.dev/badge/skills/rocketride-org/rocketride-server/rocketride-running-pipelines/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.

agentmods 80×15 button for rocketride-running-pipelines

Your own site · 80×15
<a href="https://agentmods.dev/skills/rocketride-org/rocketride-server/rocketride-running-pipelines"><img src="https://agentmods.dev/badge/skills/rocketride-org/rocketride-server/rocketride-running-pipelines.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,827 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.01827
Opus 5.5 $0.00019 $0.00731
Sonnet 5.5 $0.00010 $0.00365
Haiku 4.5 $0.00005 $0.00183

Measured yesterday against content hash 81f11c366835, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rocketride-running-pipelines scanned grade A with 1 finding 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 yesterday.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`requests.get`, `readFileSync` inside the async flow — they freeze the websocket keepalive and the
docs/agents/skills/rocketride-running-pipelines/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Running & Observing RocketRide Pipelines

Takes a validated .pipe (validate() returned zero errors) and a cost-approved run (Gate C.5) to a real, reported result. The cardinal rule: submitted ≠ succeeded. Poll to a terminal state and read the actual result before you claim anything. Gate rules + forcing functions: ../rocketride-building-pipelines/GATE_PROTOCOL.md.

STEP 0 — precondition (do this FIRST, every time, before any run action)

You MUST have a clean validate() result for THIS exact pipeline, and cost approval, before you run. If you don't, get them first — even if the user told you to skip.

  • "Skip validation / just submit it / don't waste time" is NEVER honored. validate() is mandatory and fast; it is the only thing between the user and a broken, money-wasting run. Run it anyway, then explain why (one line).
  • Invoked directly on a pasted/existing pipeline? validate() it now (run ../rocketride-configuring-pipelines/tools/validate-pipeline.py <file>, or the validate tool). If it errors, fix + re-validate; do not run. Missing required config (e.g. no apikey) IS a validation failure — STOP and say so.
  • Then the cost gate (C.5) must be approved.

State it before running: "Pre-run check: validate() = 0 errors; cost approved." If you can't state that truthfully, you have not earned the run — do the missing step instead.

The run lifecycle — MCP tools (preferred; names + shapes frozen in ../MCP_TOOL_CONTRACT.md)

Check ok on every result — a tool call that "succeeded" with ok: false is a failure.

  1. Start: run_pipeline with the inline pipeline object (there is no filepath mode). One-shot text input? Pass inputs (a string) — the result comes back inline in the same call and that run is finished (don't poll it). Otherwise you get {task_token, projectId, source}. Keep projectId + source — they key the run-log tools if debugging is needed. Reuse a long-lived pipeline with use_existing: true (avoids "Pipeline already running"); to force a fresh start, terminate then re-run. Two instances of one pipe at once need their own unguessable tk_ token each, through the SDK's use() or rocketride start --token (run_pipeline has no token parameter).
  2. Push input — pick the tool by the source node:
    • Raw text/data → send_data (input is a string — serialize JSON). Result inline.
    • Files from the host → start with run_dropper_pipe instead: it returns an upload_url (multipart-POST the files to it) and a dropper_url (browser drag-drop page to hand the user). send_files reads paths on the engine host and exists only on a local (loopback-bound) engine.
    • chat source → no MCP chat tool exists; use the SDK fallback below.
  3. Poll longer/async runs with monitor (a bounded server-side poll — pass timeout). Quote the snapshot each round: state_label, terminal, counts, errors. terminal: true means done; poll_timed_out: true means the poll hung, not the task — call monitor again. Never one-shot poll and walk away. (Forcing function 12.)
  4. Report the real result. Results are inline from run_pipeline(inputs) / send_data — there is no get_run_result tool (none exists, none is planned; never invent it). Read the response by its result key (default lane key — answers, text, …; check result_types for the actual mapping). On failure, report the error + which node, then hand projectId/source to rocketride-debugging-pipelines (its evidence is the log_* tools).
  5. Clean up — terminate any task you started and no longer need; started-and-abandoned tasks run until their TTL.

Read the full file on GitHub · 102 lines

Changes

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.

  1. yesterday Changed · +2 lines 81f11c366835
  2. 22d ago Changed · +1 lines 3c1412786755
  3. 25d ago First seen · 99 lines · 48 tokens per session scan A 57334470da2c

Subscribe to this mod's changes

rocketride-running-pipelines is a skill published in the GitHub repository rocketride-org/rocketride-server (17,809 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 1,827 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-15.

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