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BC windfall-inference

Spatially-routed LLM inference at $0.004/req. Routes to cheapest, greenest energy. 200+ models. OpenAI-compatible. Onchain attestations on Base.

ClawHub Agent Skills author: pat ✨ v1.0.0 41 files · 1 script body ≈ 569 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureAI and agentsInfrastructuretype 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
B
80/100
safety, quality, tests
Safety 60%
85
Quality 40%
72
Run on models
none yet
Process rating
C
52/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

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. 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 · 11

✓ No critical or high findings

Medium and low: 11
  • medium Dangerous commands cmd-pipe-to-shell-known-host deploy/setup.sh:12
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://deb.nodesource.com/setup_22.x | bash -
  • low Secrets in code secret-high-entropy-token scripts/acp-negative-test.ts:3
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    const WINDFALL = "0x65…6c7";
    fixturequoted
  • low Secrets in code secret-high-entropy-token scripts/acp-negative-test.ts:4
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    const TESTER = "0x32…cdc";
    fixturequoted
  • low Secrets in code secret-high-entropy-token scripts/acp-positive-test.ts:3
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    const WINDFALL = "0x65…6c7";
    fixturequoted
  • low Secrets in code secret-high-entropy-token scripts/acp-positive-test.ts:4
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    const TESTER = "0x32…cdc";
    fixturequoted
  • low Secrets in code secret-high-entropy-token scripts/graduate.ts:31
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const WINDFALL_AGENT = '0x65…6c7' as const;
    quoted
  • low Secrets in code secret-high-entropy-token scripts/graduate.ts:32
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const TESTER_AGENT = '0x32…cdc' as const;
    quoted
  • low Secrets in code secret-high-entropy-token src/config.ts:61
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    usdcAddress: '0x83…913',
    quoted
  • low Secrets in code secret-high-entropy-token src/services/onchain-identity.ts:7
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const ERC8…TRY = '0x80…432';
    quoted
  • low Secrets in code secret-high-entropy-token src/services/onchain-identity.ts:15
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const BASE_REVERSE_REGISTRAR = '0xC6…BCD';
    quoted
  • low Secrets in code secret-high-entropy-token src/services/onchain-identity.ts:32
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0xC6…BCD',
    quoted

Files scanned: 41. 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")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 52/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 569 tokens

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)
  • -33 of 3 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 144: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 13 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
The skill is mostly a coherent paid remote inference gateway, but its browser payment/dashboard flow misstates how API keys are handled and persists sensitive tokens in localStorage.
LLM: suspicious (high) · VirusTotal: · 29 May 2026