SKILLEMALL.ai

AF blockpi-blockchain-rpc

Multi-protocol BlockPI access skill for discovering documented methods, routing requests by protocol, mapping RU pricing, and calling BlockPI endpoints across JSON-RPC, HTTP, gRPC, and GraphQL where the official docs support them. Use when you need to validate whether a BlockPI method exists, estimate RU cost, pick the right protocol for a chain such as Sui or Solana, persist per-chain endpoints for jsonrpc/grpc/graphql, execute a live BlockPI call against a user-provided endpoint or token, or prepare protocol-aware designs like Sui gRPC and Solana Yellowstone gRPC.

ClawHub Agent Skills author: NeganZhao v1.0.1 MIT-0 8 files body ≈ 1 853 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: references/rpc_catalog.json, scripts/build_blockpi_catalog.py

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/rpc_catalog.json, scripts/build_blockpi_catalog.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/rpc_catalog.json
  • warning missing-ref reference to a missing file: scripts/build_blockpi_catalog.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/rpc_catalog.json, scripts/build_blockpi_catalog.py
  • 0Tools and files. 2 referenced file(s) missing: references/rpc_catalog.json, scripts/build_blockpi_catalog.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (blockpi-blockchain-rpc) differs from the folder (blockpi-rpc-skill)
  • 70Failures and branches. 4 branches
  • 85Steps. 42 steps, 1 vague phrases
  • 100Execution cost. Instruction body is 1853 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 572: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This is a disclosed BlockPI RPC helper that stores user-provided endpoints locally and makes user-directed blockchain RPC calls, with no evidence of hidden exfiltration or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026