From nuclear-grade
Evaluates a change (code, AI prompts, releases) to select Quick/Standard/stronger review mode based on consequence, reversibility, and unknowns. Use when the right level of care is unclear.
How this skill is triggered — by the user, by Claude, or both
Slash command
/nuclear-grade:rating-change-riskThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Sort the change before you build it. That way the care you take matches the stakes and the evidence the change needs. The result is a mode choice, tied to the decision question, what the change must prove, and the triggers to escalate. Mode is about how much rigor; it is orthogonal to the work type (greenfield, brownfield, defect-fix, or refactor-migration), which is classified upstream in `que...
Sort the change before you build it. That way the care you take matches the stakes and the evidence the change needs. The result is a mode choice, tied to the decision question, what the change must prove, and the triggers to escalate. Mode is about how much rigor; it is orthogonal to the work type (greenfield, brownfield, defect-fix, or refactor-migration), which is classified upstream in questioning-attitude and shapes which questions you ask. See docs/02-operating-system/work-type-lens.md.
activation-thresholds.md, and any prior risk.md -> the mode, decision question, evidence bar, required files, proof command or gap, and escalation triggers in risk.md.docs/02-operating-system/activation-thresholds.md.risk.md, if one exists.risk.md names the mode, scope, consequence, how easy it is to undo, who is exposed, what is unknown, and the proof required.python tools/ng.py validate .nuclear/changes/<slug> after the required files are filled.Sort this change into a Nuclear-grade mode.
Inputs:
- Request or diff: <paste/link>
- Affected files/assets: <list>
- Impact on users, security, dependencies, data, AI behavior, or release: <known facts>
Return:
- the decision question and the proof that must clear before work goes on
- the chosen mode: Quick, Standard, or a stronger mode that a human reviews
- how bad it is if wrong, how easy to undo, how exposed, how easy to catch, how uncertain
- the work mode and which safety habit (HPI) to use: none, context pack, handoff, self-check, an independent check, a record of lessons from real operation (OPEX), or a trust check
- the assumptions or facts that drove the mode choice
- the record files this mode needs
- the least proof required
- the conditions that should make you ask for help
- a limits note: do not claim formal verification and validation, compliance, certification, safety, security, or regulatory adequacy
This skill is an original risk-scaling workflow. It draws on public sources mapped in docs/00-standards-foundation/source-map.md. It does not set any regulatory class and does not create compliance.
npx claudepluginhub flyfission/nuclear-grade-context-engineering --plugin nuclear-gradeRoutes AI-assisted work by classifying changes by consequence (Quick or Standard-plus) and enforcing a decision contract with change records. Use at start of changes, adoption, or releases.
Assesses uncommitted code risk with breaking change detection, blast radius analysis, and scope metrics. Outputs a weighted score and risk gate for PRs or pre-commit checks.
Analyzes changesets from git diffs, configs, APIs, or schemas; categorizes by type/impact, scores risks, and prepares release notes for reviews and migrations.