SKILLEMALL.ai
GitHub ↗ RU Sign in

BC idea-creator

Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.

wanshuiyin/Auto-claude-code-research-in-sleep Agent Skills author: wanshuiyin MIT 1 file body ≈ 3 943 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Generate and rank research ideas given a broad direction.

As a process C 56/100 · Has gaps — References files that are not bundled: ../../shared-references/output-versioning.md, ../../shared-references/output-manifest.md, ../../shared-references/output-language.md

GeneratorData and analyticsAI and agentsWriting and documentstype 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
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
56/100
Has gaps
References files that are not bundled: ../../shared-references/output-versioning.md, ../../shared-references/output-manifest.md, ../../shared-references/output-language.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: Auto-claude-code-research-in-sleep, Auto-claude-code-research-in-sleep

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: ../../shared-references/output-versioning.md
  • warning missing-ref reference to a missing file: ../../shared-references/output-manifest.md
  • warning missing-ref reference to a missing file: ../../shared-references/output-language.md

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: ../../shared-references/output-versioning.md, ../../shared-references/output-manifest.md, ../../shared-references/output-language.md
  • 0Tools and files. 3 referenced file(s) missing: ../../shared-references/output-versioning.md, ../../shared-references/output-manifest.md, ../../shared-references/output-language.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 8 mutating operations with no state check
  • 85Steps. 50 steps, 1 vague phrases
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3943 tokens
  • 100Progress reporting. Reports progress
  • low The skill ranks results itself: that belongs to the system behind the tool, not the model

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 219: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 50 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.