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DC exoskeletons

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: Potdealer v1.2.0 3 files body ≈ 6 501 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, progress reporting

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
54/100
safety, quality, tests
Safety 60%
90
Quality 40%
0
Run on models
none yet
Process rating
C
61/100
Has gaps
When it triggers w 12
0
Progress reporting w 2
0
Result and completion w 14
40
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 · 10

✓ No critical or high findings

Medium and low: 10
  • 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)
    rendererV2: "0xf0…87d",
    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 exoskeleton.js:38
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    marketplace: "0x0E…188",
    quoted
  • 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)
    | ExoskeletonCore | `0x82…a0d` | ERC-721 — identity, minting, comms, storage, reputation, modules |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:29
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Exos…rV2 | `0xf0…87d` | Animated onchain SVG art generator (tier-gated CSS) |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:30
    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, batch queries |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:31
    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:32
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | ModuleMarketplace | `0x0E…188` | Module submission, curation, activation/deactivation |
    table

Files scanned: 3. 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 ≈ 6501 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 61/100

  • 0When it triggers. No condition that starts the skill
  • 0Progress reporting. Says nothing while it works
  • 40Result and completion. Does not say what the result is
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 60Failures and branches. 2 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6501 tokens
  • 100Steps. 111 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 19 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: 45 headings
  • +3Step-by-step instructions: 111 items
  • +4Has examples (24 code blocks)

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

External checks

ClawHub: clean
The skill is a coherent onchain identity integration, but users should treat its Bankr transaction examples and API key handling as sensitive.
LLM: benign (high) · VirusTotal: benign · 28 May 2026