From nuclear-grade
Rates change risk to select Quick, Standard, or human-reviewed mode based on consequence, reversibility, and unknowns. Use when starting code, docs, dependency, AI, release, or public-claim changes where care level 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. Choosing the mode is how Nuclear-grade *tailors* rigor to stakes — the same idea project-management practice calls tailoring; see `docs/02-operating-system/risk-...
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. Choosing the mode is how Nuclear-grade tailors rigor to stakes — the same idea project-management practice calls tailoring; see docs/02-operating-system/risk-tiers-and-modes.md. 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.creating-change-records instead.docs/02-operating-system/activation-thresholds.md.risk.md, if one exists.Screen for the administrative floor first. If the change is purely administrative, instantly reversible, and crosses no trust boundary -- a typo, a comment, formatting, a dead-link fix, a doc-only bump -- it needs no packet; the commit message is the record. Any tripwire (auth, data, a dependency, a model or prompt, agent authority, CI or .github/, a release, a baseline, or claim-bearing public wording -- a non-claim typo or dead-link fix in public docs does not by itself count), or a reviewer needing more than the commit, makes it at least Quick. When in doubt it is Quick, not the floor.
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 changes by consequence into matching rigor levels (Quick/Standard-plus) with record-keeping and proof planning. Use at start of any change or release call.
Grades a passing code change for how much human attention it deserves before merge, using a five-facet protocol with worst-facet aggregation and persistence.
Runs a structured methodology to analyze diffs, categorize changes, assess risks, and prepare release notes from raw change data.