SKILLEMALL.ai
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DD 1inch

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: eric1099281 v1.0.0 MIT-0 4 files body ≈ 624 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype 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
56/100
safety, quality, tests
Safety 60%
94
Quality 40%
0
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token oneinch_client.py:129
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ...     from_token_address="0xC0…Cc2",
    quoted
  • low Secrets in code secret-high-entropy-token oneinch_client.py:130
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ...     to_token_address="0xA0…B48",
    quoted
  • low Secrets in code secret-high-entropy-token oneinch_swap.py:79
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ...     from_token_address="0xC0…Cc2",
    quoted
  • low Secrets in code secret-high-entropy-token oneinch_swap.py:80
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ...     to_token_address="0xA0…B48",
    quoted
  • low Secrets in code secret-high-entropy-token oneinch_swap.py:261
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    from_token = "0xC0…Cc2"  # WETH
    quoted
  • low Secrets in code secret-high-entropy-token oneinch_swap.py:262
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    to_token = "0xA0…B48"  # USDC
    quoted

Files scanned: 4. 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 44/100

  • 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
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 624 tokens
  • 100Running it twice. No mutating operations
  • 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
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (4 code blocks)

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

External checks

ClawHub: clean
This is a straightforward 1inch API client for quote and swap transaction-data generation, but users should treat any approval or swap data as financially sensitive and verify it before signing.
LLM: benign (high) · VirusTotal: · 29 May 2026