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DF auto-research-claw

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: Don A Wright Jr v1.0.0 MIT-0 80 files body ≈ 162 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 29/100 · Will not run — weak spots: steps, result and completion, when it triggers

ReferenceSoftware developmentInfrastructuretype 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
D
57/100
safety, quality, tests
Safety 60%
95
Quality 40%
0
Run on models
none yet
Process rating
F
29/100
Will not run
Steps w 15
0
Result and completion w 14
0
When it triggers w 12
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token docs/README_DE.md:93
    High-entropy token-like string (may be an id, hash or a credential)
    <tr><td>🔍</td><td><code>verification_report.json</code></td><td>4-Sc…ts- und Relevanzpruefung (arXiv, CrossRef, DataCite, LLM)</td></tr>
  • low Secrets in code secret-high-entropy-token docs/README_DE.md:313
    High-entropy token-like string (may be an id, hash or a credential)
    | **🔍 4-Sc…ion** | arXiv-ID-Pruefung → CrossRef/DataCite-DOI → Semantic-Scholar-Titelabgleich → LLM-Relevanzbewertung. Halluzinierte Refs automatisch entfernt. |
  • low Secrets in code secret-high-entropy-token docs/showcase/SHOWCASE.md:16
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    <img src="https://img.shields.io/badge/📊_Fig…981?style=…" alt="50 figures">&nbsp;
    quoted
  • low Secrets in code secret-high-entropy-token docs/showcase/SHOWCASE.md:17
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    <img src="https://img.shields.io/badge/📑_Out…444?style=…" alt="121 pages">&nbsp;
    quoted
  • low Secrets in code secret-high-entropy-token docs/showcase/SHOWCASE.md:582
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    <a href="https://github.com/aiming-lab/AutoResearchClaw"><img src="https://img.shields.io/badge/⭐_Sta…717?style=…&logo=…" alt="GitHub"></a>
    quoted

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 29/100

  • 0Steps. Prose only: no discrete steps
  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 162 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 0: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • -425 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +4Structure: 4 headings
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
This skill is a real autonomous research tool, but it defaults to broad automatic code execution with weak containment in several paths.
LLM: suspicious (high) · VirusTotal: · 28 May 2026