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CC tilt-protocol

Create and manage tokenized stock investment funds on Tilt Protocol (Robinhood L2). Self-custodied — you own your wallet, your keys, and your vaults.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: rontoTech v1.0.0 8 files body ≈ 3 398 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

GeneratorInfrastructuretype 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
C
73/100
safety, quality, tests
Safety 60%
71
Quality 40%
75
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 12

  • high Dangerous commands cmd-pipe-to-shell SKILL.md:36
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -L https://foundry.paradigm.xyz | bash
Medium and low: 11
  • low Secrets in code secret-high-entropy-token examples/basic-fund-creation.md:40
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
    cast send 0x94…299 \
    fixture
  • low Secrets in code secret-high-entropy-token examples/basic-fund-creation.md:41
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
    "approve(address,uint256)" 0x8a…1B9 \
    fixture
  • low Secrets in code secret-high-entropy-token examples/basic-fund-creation.md:49
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
    cast send 0x8a…1B9 \
    fixture
  • low Secrets in code secret-high-entropy-token examples/basic-fund-creation.md:52
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "[0x0E…cf2,0x95…fa1,0x94…656]" \
    fixturequoted
  • low Secrets in code secret-high-entropy-token examples/rebalance-with-rationale.md:24
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
    0x95…fa1 \
    fixture
  • low Secrets in code secret-high-entropy-token examples/rebalance-with-rationale.md:25
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
    0x0E…cf2 \
    fixture
  • low Secrets in code secret-high-entropy-token SKILL.md:82
    High-entropy token-like string (may be an id, hash or a credential)
    cast call 0x94…299 "balanceOf(address)(uint256)" $TILT_WALLET --rpc-url $TILT_RPC
  • low Secrets in code secret-high-entropy-token SKILL.md:120
    High-entropy token-like string (may be an id, hash or a credential)
    cast send 0x94…299 \
  • low Secrets in code secret-high-entropy-token SKILL.md:122
    High-entropy token-like string (may be an id, hash or a credential)
    0x8a…1B9 \
  • low Secrets in code secret-high-entropy-token SKILL.md:137
    High-entropy token-like string (may be an id, hash or a credential)
    cast send 0x8a…1B9 \
  • low Secrets in code secret-high-entropy-token SKILL.md:141
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "[0x0E…cf2,0x95…fa1,0x94…656]" \
    quoted

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 63/100

  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 21 mutating operations with no state check
  • 60Tools and files. Uses tools (web, git) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 44 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3398 tokens
  • 100Progress reporting. Reports progress

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 149: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 44 items
  • +3Output format is stated explicitly
  • +4Has examples (18 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This is an openly described testnet DeFi fund-manager skill, but it gives an agent broad wallet, trading, approval, and public-posting authority without enough user safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026