run-workflow SKILL.md skillA

run-workflow from ginlix-ai/langalpha is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ginlix-ai/langalpha/run-workflow@git:20261013.d43e0fc

Pins git:20261013.d43e0fc in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ginlix-ai/langalpha
Path
plugins/langalpha_service/skills/run-workflow/SKILL.md
Versions recorded
3
Latest version
git:20261013.d43e0fc, committed Oct 13, 2026
First version recorded
Aug 26, 2026
Size
6,729 bytes
Repository stars
2,249
License
Apache-2.0

Orchestrate parallel subagent pipelines from a JavaScript workflow script. Fan out work across many items (tickers, filings, findings) then synthesize, or run a saved workflow by name. Unlocks the RunWorkflow tool.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Programmatic Workflows (RunWorkflow)

Use `RunWorkflow` when a deterministic pipeline should orchestrate multiple subagents — fan-out research then synthesize, classify then act per item, generate then verify. Prefer it over issuing many `Task` calls yourself when the dispatches are data-driven (one per ticker, per filing, per finding). Do NOT use it for a single subagent (use `Task`) or for code that dispatches nothing (use `ExecuteCode`).

## The script

You write JavaScript (ES2020). It executes server-side: the script itself cannot touch the workspace filesystem — the subagents it dispatches can. The script must declare a pure object literal first:

```js
export const meta = { name: 'ticker-briefs', description: 'Fan out research, synthesize' }
```

`name` (letters, digits, `-`, `_`) and `description` are required; no variables or function calls inside the literal. The rest of the body is free-form async JS — top-level `await` and `return` both work, and the `return` value (JSON-serializable) becomes the run result. Return a synthesis rather than the raw children: a large result is clipped for display, and a clipped object is unparseable.

## Built-ins
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ginlix-ai/langalpha/run-workflow@sha256:7c91fa9746926835

The line at the top of this page pins the label git:20261013.d43e0fc, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_536fmdkngtzgsrj3.svg)](https://markdownregistry.com/a/art_536fmdkngtzgsrj3)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Aug 26, 2026 and Oct 13, 2026, about one every 24 days.

versioncommittedcommitsizeaudit
git:20261013.d43e0fc latest2026-10-13 d43e0fc 6,729 BA view · diff
git:20260915.83337aa2026-09-15 83337aa 6,814 BA view · diff
git:20260826.8da358a2026-08-26 8da358a 6,817 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6729 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ginlix-ai/langalpha · 2,249 stars · license Apache-2.0 · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_536fmdkngtzgsrj3
GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/run-workflow
GET https://markdownregistry.com/api/v1/blob/7c91fa974692683572a6e901e28598f9552cbbc4d1f4afefd5d466fea61f4266

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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