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BC newsriver-global-intelligence

Professional Quantitative Intelligence & DeFi Execution for AI Agents. 10 years of news-price correlation, Enso DeFi super-aggregator (200+ DEXs, 15+ chains), cross-chain bridge (Across Protocol), and Privy TEE-secured wallets.

ClawHub Agent Skills author: Bidur P Shiwakoti v1.0.13 MIT-0 2 files body ≈ 943 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

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
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
70
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration net-credential-use SKILL.md:59
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    curl -H "X-API-Key: $NEWSRIVER_API_KEY" \
    security skill

Files scanned: 2. 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"
  • note frontmatter-key unknown frontmatter key "author_url"
  • note frontmatter-key unknown frontmatter key "env"

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (newsriver-global-intelligence) differs from the folder (newsriver-intelligence)
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 943 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 227: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (3 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
This skill is transparent about its finance and automation features, but it gives agents access to high-impact DeFi, wallet, payment, messaging, and scraping actions without enough stated user controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026