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Not recommendedlow grade D
ClawHub Agent Skills author: asabovetech v1.0.1 7 files · 1 script body ≈ 1 586 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 59/100 · Has gaps — weak spots: when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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
C
59/100
Has gaps
When it triggers w 12
0
Inputs and preconditions w 11
0
Failures and branches w 10
50
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 Exfiltration net-credential-use examples.md:8
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    curl -s -X POST -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
    fixture
  • low Exfiltration net-credential-use examples.md:16
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    curl -s -X POST -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
    fixture
  • low Exfiltration net-credential-use examples.md:23
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    curl -s -X POST -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
    fixture
  • low Exfiltration net-credential-use examples.md:31
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    curl -s -X POST -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
    fixture
  • low Exfiltration net-credential-use examples.md:38
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    curl -s -X POST -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
    fixture

Files scanned: 7. 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 59/100

  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1586 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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

  • +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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 27 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)

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

External checks

ClawHub: suspicious
This appears to be a real Pocket AI integration, but it needs review because it gives an agent broad access to sensitive recordings while under-disclosing cloud data flow and sharing controls.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026