complexity-detection

Productivity

Classify a task or feature as quick, standard, or thorough so the rest of the pipeline (budget sizing, model routing, review depth) can right-size itself. Used by /ck:sketch to default the kit's complexity, by /ck:map to assign task depth, and by /ck:make for per-task budgets. Also invoked by the ck:complexity agent with the haiku model. Trigger phrases: "how complex", "what depth", "pick a depth", "classify this task".

QUICK START

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Source SKILL.md: https://github.com/hashgraph-online/awesome-codex-plugins/blob/HEAD/plugins/JuliusBrussee/blueprint/skills/complexity-detection/SKILL.md

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Complexity Detection

A deterministic scoring rubric. Five axes, 0–4 each, summed to 0–20.

Axes

Axis	0	1	2	3	4
Files touched	0–2	3–5	6–10	11–20	20+
Type	chore / format	refactor	feature	cross-cutting	architectural
Judgment required	mechanical	low-ambiguity	medium	high	critical (sec/prod)
Cross-component	single module	two modules	three modules	many within one repo	multi-repo
Novelty	known pattern	rare pattern	novel	research needed	unknown unknowns

Total score maps to:

Score	Depth
0 – 6	quick
7 – 13	standard
14+	thorough

Override signals

Upgrade one step regardless of score when any of these are true:

Security-sensitive: authentication, authorization, crypto, secrets, PII.
Data migration that is not reversible.
Public API shape change (breaking).
Performance-critical hot path with an existing SLA.

Downgrade one step only when all of these are true:

Zero new dependencies.
Existing tests cover the change.
No user-visible behaviour change.
Single file, single function.

Per-depth defaults

Depth	Token budget	Model tier	Review	Tests
quick	8 000	haiku	optional	smoke
standard	20 000	sonnet	required	unit + integration
thorough	45 000	sonnet/opus	mandatory	unit + integration + E2E

These defaults are recorded in .cavekit/config.json under task_budgets and consumed by the cavekit-router.cjs model router.

How agents score

The ck:complexity subagent (haiku) receives a task description and returns a JSON blob:

{
  "score": 11,
  "depth": "standard",
  "axes": {
    "files": 2, "type": 2, "judgment": 2, "cross_component": 2, "novelty": 3
  },
  "overrides_applied": []
}

/ck:map calls this agent per task to set depth in the task registry. If the agent produces a score in the "thorough" band with a novelty of 4 and a security override, it may return needs_research: true, which /ck:map must translate into an upstream ck:researcher task dependency before the work itself.

Integration points

/ck:sketch — runs complexity scoring on the whole domain to set the kit's complexity: frontmatter.
/ck:map — runs it per task to assign depth.
/ck:make — reads depth to size the task budget and pick the review intensity.
ck:complexity agent — pure-haiku worker; does nothing else.

Anti-patterns

Using one depth for every task in a kit "for consistency." Cost up, signal down.
Padding depth to "be safe" — if the budget is oversized, the model wastes tokens exploring. Right-size, then raise only when verification fails.
Ignoring overrides — scoring a login flow as "quick" because it touches one file. Security overrides exist for exactly this reason.