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Universal radial-tree exploration engine — loads a preset, grounds a root, expands every node through 12 framing passes, derives each child in 12 evidence-bearing fields, scores it, and recurses on `advances` leaves until substantive convergence (or a user cap). Caps default to ∞; `defer / TODO / NEEDS-MORE-INFO` leaves are hard-banned. Use when the user wants the engine itself — a custom preset via `--preset <path>`, explicit control of a run, or "tree of thoughts" / 穷尽的树状探索 in general; for the four shipped use-cases prefer `/cc-tree:brainstorm`, `/cc-tree:attack`, `/cc-tree:design`, `/cc-tree:code-audit`, whose descriptions carry the per-use-case triggers.

The skillemall take

Promises a universal radial-tree exploration engine: takes a preset, grounds a root, runs 12 framing passes per node, derives children across 12 evidence-bearing fields with scoring, recurses on advancing leaves until convergence. Ships with four presets for brainstorming, attack planning, design, and code audit.

Checks show: grade C, 3478 body tokens, one file. Broken references in docs, code quality 67/100, process logic 36/100. No critical errors but structure needs work. No model runs or sandbox testing. Broad platform support: Claude, Cursor, DeepSeek, and eight others.

Install if you need the raw engine for custom presets and explicit run control. Otherwise stick with the `/cc-tree:*` commands—they're the point.

skymanbp/cc-tree Claude Code author: skymanbp 1 file body ≈ 3 478 tokens Open the sourcegithub.com↗ analyzed 7 d ago

Universal radial-tree exploration engine — loads a preset, grounds a root, expands every node through 12 framing passes, derives each child in 12…

As a process D 36/100 · Unfinished process — References files that are not bundled: ../../docs/ENGINE.md, ../../docs/ENGINE.md, ../../docs/ENGINE.md

AnalyzerSoftware developmentData and analyticsPersonal productivitytype 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%
100
Quality 40%
67
Run on models
none yet
Process rating
D
36/100
Unfinished process
References files that are not bundled: ../../docs/ENGINE.md, ../../docs/ENGINE.md, ../../docs/ENGINE.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

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 · 0

✓ No critical or high findings

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: ../../docs/ENGINE.md
  • warning missing-ref reference to a missing file: ../../docs/ENGINE.md
  • warning missing-ref reference to a missing file: ../../docs/ENGINE.md
  • warning missing-ref reference to a missing file: ../../docs/chaining.md
  • warning missing-ref reference to a missing file: ../../docs/ENGINE.md
  • warning missing-ref reference to a missing file: ../../docs/framings.md
  • warning missing-ref reference to a missing file: ../../docs/presets.md
  • warning missing-ref reference to a missing file: ../../docs/ENGINE.md
  • warning missing-ref reference to a missing file: ../../docs/ENGINE.md
  • warning missing-ref reference to a missing file: ../../docs/ENGINE.md
  • warning missing-ref reference to a missing file: ../../docs/ENGINE.md
  • warning missing-ref reference to a missing file: ../../docs/ENGINE.md
  • warning missing-ref reference to a missing file: ../../docs/ENGINE.md
  • warning missing-ref reference to a missing file: ../../presets/
  • warning missing-ref reference to a missing file: ../../commands/
  • warning missing-ref reference to a missing file: ../../docs/EVALUATION.md

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: ../../docs/ENGINE.md, ../../docs/ENGINE.md, ../../docs/ENGINE.md
  • 0Tools and files. 16 referenced file(s) missing: ../../docs/ENGINE.md, ../../docs/ENGINE.md, ../../docs/ENGINE.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 38 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3478 tokens
  • low The response is described with custom markup (16 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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 666: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.