SKILLEMALL.ai
GitHub ↗ RU Sign in

CC consulting-analysis

Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This skill operates in two phases — (1) generating a structured analysis framework with chapter skeleton, data query requirements, and analysis logic, and (2) after data collection by other skills, producing the final consulting-grade report with structured narratives, embedded charts, and strategic insights.

bytedance/deer-flow Agent Skills author: bytedance MIT 1 file body ≈ 8 197 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer…

As a process C 62/100 · Has gaps — References files that are not bundled: Actual_File_Path, path, URL

AnalyzerData and analyticstype 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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
C
62/100
Has gaps
References files that are not bundled: Actual_File_Path, path, URL
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: RA-Skills

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 body-long SKILL.md body ≈ 8197 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: Actual_File_Path
  • warning missing-ref reference to a missing file: path
  • warning missing-ref reference to a missing file: URL
  • warning missing-ref reference to a missing file: chart_file_path

Process rating: all ten parameters 62/100

Will not run. References files that are not bundled: Actual_File_Path, path, URL
  • 0Tools and files. 4 referenced file(s) missing: Actual_File_Path, path, URL
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 40Execution cost. Instruction body is 8197 tokens: crowds the task out of the window
  • 60Steps. 132 steps, 8 vague phrases
  • 60Result and completion. Output format stated, no completion criterion
  • 100When it triggers. States when to use and when not to
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • low 18 top-level sections: this looks like several domains in one skill

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 623: enough signal without eating the budget
  • +4Structure: 56 headings
  • +3Step-by-step instructions: 132 items
  • +3Output format is stated explicitly
  • +4Has examples (11 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.