fan-out SKILL.md skillA

fan-out from jeongjaesoon/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jeongjaesoon/agent-skills/fan-out@git:20261106.841ebe2

Pins git:20261106.841ebe2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jeongjaesoon/agent-skills
Path
skills/fan-out/SKILL.md
Versions recorded
1
Latest version
git:20261106.841ebe2, committed Nov 6, 2026
Size
1,055 bytes
Repository stars
3
License
MIT

Fan out parallel workers. Sweep splits one question, returns one report: /swarm, "병렬로 훑어줘", "나눠서 동시에 확인해줘". Compete runs candidates at one task, picks a base, grafts in the rest: /arena, "경쟁시켜줘", "여러 버전 만들어서 비교해줘". Landing tickets is orchestrate.

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

# Fan-out

Run N parallel workers and return one result. Pick the mode by what comes back, then read its file and follow it:

- **sweep**: one report from split or raced work. Workers cover separate slices of one question, race the same brief, or both. [references/sweep.md](references/sweep.md).
- **compete**: one artifact. Every candidate does the same task; you pick a base, graft in the best of the others and verify the result. [references/compete.md](references/compete.md).

A report from split work is sweep; one merged artifact is compete. Splitting a compete task into slices makes it a different job, so do not. Several tickets landed in parallel on their own cards is `orchestrate`.

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jeongjaesoon/agent-skills/fan-out@sha256:880106a7bc41ec84

The line at the top of this page pins the label git:20261106.841ebe2, 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_7w26knlm7snxigbm.svg)](https://markdownregistry.com/a/art_7w26knlm7snxigbm)

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

Versions

The registry has recorded 1 version of this file, committed on Nov 6, 2026.

versioncommittedcommitsizeaudit
git:20261106.841ebe2 latest2026-11-06 841ebe2 1,055 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 (1055 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

jeongjaesoon/agent-skills · 3 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7w26knlm7snxigbm
GET https://markdownregistry.com/api/v1/resolve?ref=jeongjaesoon/agent-skills/fan-out
GET https://markdownregistry.com/api/v1/blob/880106a7bc41ec847e42cf3a3e1602a2e4a3f61e8d6f22848db5b58a77ff9541

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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