Home / uchicago-dsi / ai-sci-skills · skills/mission-control/SKILL.md · GitHub

mission-control skillA

mission-control is agent-read markdown (skill) from uchicago-dsi/ai-sci-skills: 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..

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

# 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  superseded corrections, and metrics that no longer affect a decision.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

Latest version
mdr add uchicago-dsi/ai-sci-skills/mission-control@git:20260921.9b3de7c
Exact content
mdr add uchicago-dsi/ai-sci-skills/mission-control@sha256:20d12f104a52c231

Pin 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.

Badge

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Versions

versioncommittedcommitsizeaudit
git:20260921.9b3de7c latest2026-09-21 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. Deterministic, no model, 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 (9980 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 2026-09-23 · 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/20d12f104a52c231d20c4ff69d60096e6b73bfc887016d4d702e382fa12eaad3

Your agent 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.

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