Mission control restore plan
Skill MN755/Codex-Mission_Control/plugins/mission-control/skills/mission-control-restore-plan
Generate a rollback or restore plan from Mission Control state. Use when the user wants to know what would be reverted, what evidence would be preserved, and which destructive steps would still need approval before any restore action.From its SKILL.md
npx -y skills add MN755/Codex-Mission_Control --skill mission-control-restore-planAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
1.9 KB, 353 tokens by cl100k_base, as published. Nobody here has run it
Mission Control Restore Plan
Purpose
Describe how rollback would work without executing it.
The Codex chat agent is not the Mission Control Manager. It is the bridge between the user and the Mission Control Manager.
Use when
- The user asks how to roll back safely.
- A risky change needs a restore plan.
- Recovery decisions need a concrete revert outline.
Workflow
- Review snapshot, handoff, and status state.
- Ask Mission Control for a restore or rollback plan if available.
- Summarize what would be reverted, what would remain, and which steps would need approval.
- Do not execute the restore in this skill.
Mission Control calls
Tools:
mission_control_request_snapshotmission_control_request_recovery_planmission_control_get_status
Resources:
mission-control://projects/{project_id}/handoffmission-control://projects/{project_id}/statusmission-control://projects/{project_id}/decision-ledger
User-facing output
- Explain the rollback target, affected files or milestones, evidence preservation, and approval gates for destructive steps.
- Keep it actionable enough for the user to decide.
Approval behavior
Any actual restore or revert remains behind explicit approval. This skill only prepares the plan.
Never do
- Do not execute restore steps.
- Do not understate destructive impact.
- Do not claim rollback coverage for unsnapshotted work.
Failure and fallback
If no restore-plan tool exists, build the plan from snapshot availability, handoff evidence, and current status, and mark the dedicated tool as expected or future.
Example invocation
Generate a restore plan in case the current change set goes bad.
What ships with it: 1 file
120 B alongside SKILL.md
agents/
- openai.yaml120 B
Gives 0 of the 12 instructions most plan spec skills give in 353 tokens
Counted across 1,099 of the 1,860 authors here whose files we hold, read 2026-08-07
- Ask one question at a timein 51 of 1099
- Break plans into vertical slicesin 29 of 1099, across 11 files
- Publish issues in dependency orderin 27 of 1099, across 9 files
- Iterate until user approves the breakdownin 25 of 1099, across 7 files
- Explore the repository to understand the codebase statein 24 of 1099, across 7 files
- Use domain glossary vocabularyin 23 of 1099, across 5 files
- Apply correct triage labels to published issuesin 23 of 1099, across 5 files
- Prefer AFK slices over HITLin 22 of 1099, across 7 files
- Write a specification before writing any codein 22 of 1099, across 14 files
- Write failing tests before implementation codein 22 of 1099, across 20 files
- Ask clarifying questions until requirements are concretein 21 of 1099, across 13 files
- Respect existing architecture decision recordsin 20 of 1099, across 5 files
Said here and by no other author read
- review snapshot handoff and status state
- request recovery plan from mission control
- summarize reverts remaining steps and approval gates
- explain rollback target and affected files
- explain evidence preservation and approval gates
- keep output actionable for user decision
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.