mission-control SKILL.md skillA

mission-control from uchicago-dsi/ai-sci-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add uchicago-dsi/ai-sci-skills/mission-control@git:20261027.723fcb0

Pins git:20261027.723fcb0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
uchicago-dsi/ai-sci-skills
Path
skills/mission-control/SKILL.md
Versions recorded
4
Latest version
git:20261027.723fcb0, committed Oct 27, 2026
First version recorded
Jul 28, 2026
Size
10,533 bytes
Repository stars
20
License
MIT

Coordinate multiple long-running agents or workers while preserving the global goal, current evidence, and timely steering. Use when supervising tmux or managed agents, delegating parallel work, reconciling queued corrections, preventing workers from acting on stale direction, or serving as mission control across experiments, jobs, and implementation streams.

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

# Mission Control

Maintain the global objective while workers execute bounded tasks. Treat
steering as a control signal, not a FIFO inbox.

## Establish The Current Control State

Before steering, maintain a compact view of:

- global objective and current decision;
- each worker's owned task;
- last verified evidence or artifact;
- current indivisible operation, if any;
- next state-changing action;
- pending correction and whether it is still current.

Inspect the worker's actual pane, log, job, or artifact before relying on its
summary. Refresh this state after a user correction, completed experiment,
failure, commit, submission, or other decision-changing event.

## Keep The Mission State Disposable

If the campaign needs a state file, make it a current-state dashboard, not a
second lab notebook.

- Update it in place; do not append chronology.
- Keep it short, ideally under 80 lines. Delete resolved tasks, stale job states,
  superseded corrections, and metrics that no longer affect a decision.
- Include only the global objective and current decision, active baseline, worker
  ownership and state, live jobs or indivisible operations, blockers, next
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add uchicago-dsi/ai-sci-skills/mission-control@sha256:7a6c8c3c7d8deb6f

The line at the top of this page pins the label git:20261027.723fcb0, 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_hx3eliimfnzreu5b.svg)](https://markdownregistry.com/a/art_hx3eliimfnzreu5b)

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

Versions

The registry has recorded 4 versions of this file, between Jul 28, 2026 and Oct 27, 2026, about one every 30 days.

versioncommittedcommitsizeaudit
git:20261027.723fcb0 latest2026-10-27 723fcb0 10,533 BA view · diff
git:20260921.9b3de7c2026-09-21 9b3de7c 9,980 BA view · diff
git:20260802.b2480d02026-08-02 b2480d0 8,300 BA view · diff
git:20260728.f9d1c7e2026-07-28 f9d1c7e 6,018 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 (10533 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

uchicago-dsi/ai-sci-skills · 20 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hx3eliimfnzreu5b
GET https://markdownregistry.com/api/v1/resolve?ref=uchicago-dsi/ai-sci-skills/mission-control
GET https://markdownregistry.com/api/v1/blob/7a6c8c3c7d8deb6fe81cd5be0da7b74fc923dea95a97004a4f0afe76b29657bf

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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Every file in uchicago-dsi/ai-sci-skills

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