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DD skill

(no description)

Not recommendedlow grade D
modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 4 573 tokens Open the sourcegithub.com↗ analyzed 3 d ago

You are about to mint an Exoskeleton — an onchain identity NFT built specifically for AI agents.

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

ProcedureAI 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
55/100
safety, quality, tests
Safety 60%
91
Quality 40%
0
Run on models
none yet
Process rating
D
45/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Failures and branches w 10
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 · 9

✓ No critical or high findings

Medium and low: 9
  • low Secrets in code secret-high-entropy-token exoskeleton.js:34
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    core: "0x82…a0d",
    quoted
  • low Secrets in code secret-high-entropy-token exoskeleton.js:35
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    renderer: "0xE5…0bC",
    quoted
  • low Secrets in code secret-high-entropy-token exoskeleton.js:36
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    registry: "0x46…3E9",
    quoted
  • low Secrets in code secret-high-entropy-token exoskeleton.js:37
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    wallet: "0x78…4b9",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:25
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ExoskeletonCore | `0x82…a0d` | ERC-721 — identity, minting, comms, storage, reputation, modules |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:26
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ExoskeletonRenderer | `0xE5…0bC` | Onchain SVG art generator |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:27
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ExoskeletonRegistry | `0x46…3E9` | Name lookup, module discovery, network stats |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:28
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ExoskeletonWallet | `0x78…4b9` | ERC-6551 wallet activation helper |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:49
    High-entropy token-like string (may be an id, hash or a credential)
    Owner: 0x75…60d

Files scanned: 2. 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 45/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 7 mutating operations with no state check
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4573 tokens
  • 85Steps. 72 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 17 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
  • -5Name "skill" says nothing about the task
  • +1No license
  • +2Single-language instructions
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 72 items
  • +4Has examples (19 code blocks)

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