run-workflow skillA
run-workflow is agent-read markdown (skill) from ginlix-ai/langalpha: 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..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns 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
mdr add ginlix-ai/langalpha/run-workflow@git:20260915.83337aamdr add ginlix-ai/langalpha/run-workflow@sha256:2f3af9d74926041aPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_536fmdkngtzgsrj3)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260915.83337aa latest | 2026-09-15 | 83337aa | 6,814 B | A | view · diff |
| git:20260826.8da358a | 2026-08-26 | 8da358a | 6,817 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6814 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
ginlix-ai/langalpha · 1,774 stars · license Apache-2.0 · pushed 2026-09-24 · 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/2f3af9d74926041a4cd072bb027852b9b7f67c8db7f5f522f95f9fe189a19373
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