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Not recommendedlow grade D
ClawHub Agent Skills author: Joseph v1.0.0 1 file body ≈ 32 944 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubAI and agentstype 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
57/100
Has gaps
Inputs and preconditions w 11
0
Execution cost w 6
10
When it triggers w 12
30
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 SKILL.md:80
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **IdentityRegistry:** `0x80…432`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:81
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **ReputationRegistry:** `0x80…b63`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:261
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Account abstraction status:** ERC-4337 is growing but still early (Feb 2026). Major implementations: Kernel (ZeroDev), Biconomy, Alchemy Account Kit, Pimlico. EntryPoint v0.7: `0x00…2E5
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:290
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Safe Singleton | `0x41…61a` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:291
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Safe Proxy Factory | `0x4e…c67` |
    table

Files scanned: 1. 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
  • warning body-long SKILL.md body ≈ 32944 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 57/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 10Execution cost. Instruction body is 32944 tokens: crowds the task out of the window
  • 30When it triggers. No condition that starts the skill
  • 30Running it twice. 136 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 60Tools and files. Uses tools (bash, web, git, python, node) that frontmatter does not declare
  • 100Steps. 409 steps
  • 100Failures and branches. 21 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 116 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • -2localhost URLs: will not work for another user
  • -2171 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 270 headings
  • +3Step-by-step instructions: 409 items
  • +4Has examples (93 code blocks)

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

External checks

ClawHub: clean
This is an Ethereum development reference skill with no executable code, but users should be careful around its wallet, payment, and remote-documentation guidance.
LLM: benign (high) · VirusTotal: benign · 28 May 2026