hjemmesidekongen/ai/tier-assignment

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Evaluates decomposed subtasks using a weighted 5-factor risk matrix and assigns model tiers (junior/senior/principal). Produces per-subtask justifications to support dispatch decisions and cost optimization.

Install

npx vskill@latest install hjemmesidekongen/ai/tier-assignment

SKILL.md

Tier Assignment

Maps each decomposed subtask to a model tier using a weighted 5-factor risk score.

Risk Matrix

FactorWeightWhat it measures
Scope1.0How many files/modules touched
Reversibility0.8How hard to undo if wrong
Ambiguity1.2How unclear the requirements are
Impact1.0Blast radius of a mistake
Dependencies1.0Coupling to other subtasks

Each factor scored 1-5. Weighted sum determines tier:

Score RangeTierModel
5.0 - 10.0juniorhaiku
10.1 - 18.0seniorsonnet
18.1 - 25.0principalopus

Rules

  • Tier is a recommendation, not a constraint. Dispatcher may escalate on failure.
  • If a subtask touches security-sensitive files (auth, crypto, secrets), floor the tier at senior.
  • If a subtask has 3+ downstream dependents, floor the tier at senior (high-impact node).
  • Justification must reference the dominant risk factor driving the assignment.
  • Attach the tier + justification directly to the subtask in the decomposition YAML.

Override Triggers

Some patterns auto-escalate regardless of score:

  • Database migrations: principal
  • Public API changes: senior minimum
  • Deletion of shared modules: principal

See references/process.md for scoring algorithm, examples, and edge cases.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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