SKILLEMALL.ai
RU Sign in

AF research-deep

Deep research skill that decomposes questions into parallel sub-queries, executes searches concurrently, selectively fetches high-value sources, and synthesizes structured answers with confidence ratings. Replaces slow sequential search-read-search loops with a planned, parallel-first methodology. Use when asked to "research", "deep dive", "investigate", "find out about", or any multi-source research task.

ClawHub Agent Skills author: Lucius Pang v1.0.2 MIT-0 2 files body ≈ 2 499 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 43/100 · Will not run — References files that are not bundled: URL

ReferenceInfrastructureResearchtype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: URL
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: URL
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: URL
  • 0Tools and files. 1 referenced file(s) missing: URL
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (research-deep) differs from the folder (phy-research-deep)
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 6 branches
  • 100Steps. 28 steps
  • 100Execution cost. Instruction body is 2499 tokens
  • low 10 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 409: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 28 items
  • +3Output format is stated explicitly
  • +4Has examples (12 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

External checks

ClawHub: clean
This skill is an instruction-only web research workflow that may run multiple searches, but it does not install code, seek secrets, persist, or modify user data.
LLM: benign (high) · VirusTotal: benign · 28 May 2026