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AC intelica

Competitive intelligence API for autonomous AI agents. Analyzes any URL or company description and returns structured JSON with market positioning, pain points, competitors, battlecard, verified sources, market signals, and executable Market Score. Pay-per-call via x402 on Base and Solana mainnet. Trial key available — no wallet required for first 5 calls. WARNING: Submitted data is sent to api.intelica.dev (third party). Use only for public companies. Do not submit confidential, regulated, or proprietary data. Paid calls ($0.05-$1.00 USDC) require budget controls before autonomous use.

ClawHub Agent Skills author: teodorofodocrispin-cmyk v4.5.2 MIT-0 2 files body ≈ 1 516 tokens Open the sourceclawhub.ai↗ analyzed 29 h ago

Competitive intelligence API for autonomous AI agents.

As a process C 54/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

IntegrationNotionAI and agentstype 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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
54/100
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

How to improve

    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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "trigger"
    • note frontmatter-key unknown frontmatter key "requires"
    • note frontmatter-key unknown frontmatter key "env"

    Process rating: all ten parameters 54/100

    • 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. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (intelica) differs from the folder (intelica-competitive-intelligence)
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 29 steps
    • 100Execution cost. Instruction body is 1516 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 593: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 29 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This is a clearly scoped skill for calling a paid third-party competitive-intelligence API, with data-sharing and payment risks disclosed.
    LLM: benign (high) · VirusTotal: · 17 Jun 2026