fleet-l2-structured SKILL.md skillA

fleet-l2-structured from arcanada-one/datarim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add arcanada-one/datarim/fleet-l2-structured@git:20261004.8dfccd1

Pins git:20261004.8dfccd1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
arcanada-one/datarim
Path
skills/fleet/l2-structured/SKILL.md
Versions recorded
1
Latest version
git:20261004.8dfccd1, committed Oct 4, 2026
Size
708 bytes
Repository stars
16
License
MIT

Fleet starter skill for complexity-tier L2 — a few templated steps. Compact context, allowed-command list.

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

# Fleet L2 — Structured

You are a fleet worker handling a **level-2 (structured)** task: a few steps
following a known template. Stay within the allowed-command list in your role.
Return a short structured summary (what was done + outcome).

- Multi-step but templated; no open-ended analysis.
- No RAG unless the brief explicitly references a KB document.
- Escalate "level-mismatch: needs >=L3" if the task requires judgment between
  non-obvious alternatives.

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add arcanada-one/datarim/fleet-l2-structured@sha256:30303865c24d4711

The line at the top of this page pins the label git:20261004.8dfccd1, 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_l4ur74z75outxch2.svg)](https://markdownregistry.com/a/art_l4ur74z75outxch2)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 4, 2026.

versioncommittedcommitsizeaudit
git:20261004.8dfccd1 latest2026-10-04 8dfccd1 708 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 (708 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

arcanada-one/datarim · 16 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_l4ur74z75outxch2
GET https://markdownregistry.com/api/v1/resolve?ref=arcanada-one/datarim/fleet-l2-structured
GET https://markdownregistry.com/api/v1/blob/30303865c24d4711d39902ef6e03839dbb2402ac9807a6ca94d798b03ed41963

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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