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CF decompose

The greenfield decomposition interview. Routed to at startup when .codearbiter/CONTEXT.md lacks the <!--INITIALIZED--> body marker and no source code exists, or when the user invokes /decompose. A senior-architect persona drives a six-layer interview, persists every layer to disk so a context reset loses nothing, then populates .codearbiter/ and locks it initialized. No project-state doc is written before the layers are solid; orchestration does not resume until the lock is set.

arbiterForge/codeArbiter Agent Skills author: arbiterForge AGPL-3.0 1 file body ≈ 4 839 tokens Open the sourcegithub.com↗ analyzed 25 h ago

The greenfield decomposition interview.

As a process F 55/100 · Will not run — References files that are not bundled: ../decision-lifecycle/references/adr-template.md, ../../includes/cut-docs.md

PersonaSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
98
Quality 40%
71
Run on models
none yet
Process rating
F
55/100
Will not run
References files that are not bundled: ../decision-lifecycle/references/adr-template.md, ../../includes/cut-docs.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Result and completion w 14
40
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: decompose (arbiterForge/codeArbiter)

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 2

✓ No critical or high findings

Medium and low: 2
  • low Concealment en-hide-from-user SKILL.md:52
    Instruction to hide actions from the user (negated — the text forbids it)
    - On Resume: re-establish each captured layer as solid, then enter Phase 3 at the next unfinished layer. On Restart: delete `.decompose-draft/` and every DRAFT ADR, then fresh-init below. On Abort: ex
    negated
  • low Concealment en-hide-from-user SKILL.md:168
    Instruction to hide actions from the user (negated — the text forbids it)
    - MUST NOT silently delete a draft directory on Resume — the user chooses Resume, Restart, or Abort.
    negated

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../decision-lifecycle/references/adr-template.md
  • warning missing-ref reference to a missing file: ../../includes/cut-docs.md

Process rating: all ten parameters 55/100

Will not run. References files that are not bundled: ../decision-lifecycle/references/adr-template.md, ../../includes/cut-docs.md
  • 0Tools and files. 2 referenced file(s) missing: ../decision-lifecycle/references/adr-template.md, ../../includes/cut-docs.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Result and completion. Does not say what the result is
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 4839 tokens
  • 85Steps. 28 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (4 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 483: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 28 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.