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AC openrouter-connect

Use this skill whenever the user wants to work with OpenRouter's free LLM models. Triggers include: any mention of "OpenRouter", "free models", "openrouter-connect", routing queries through a free LLM, writing code to call OpenRouter, or picking/testing an OpenRouter model. Also use when the user wants to proxy a question to a free model, compare free model outputs, or scaffold code (Python or JS/TS) that calls OpenRouter. Always use this skill when OpenRouter or free-tier LLM routing is involved.

ClawHub Agent Skills author: sh01-rgb v1.0.0 MIT-0 8 files · 3 scripts body ≈ 1 005 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Triggers include: any mention of "OpenRouter", "free models", "openrouter-connect", routing queries through a free LLM, writing code to call OpenRouter, or…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationSoftware developmentAI 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
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
40
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 54/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (openrouter-connect) differs from the folder (openrouter-connect-missnamed)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 17 steps
    • 100Execution cost. Instruction body is 1005 tokens
    • 100Running it twice. No mutating operations
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 502: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: suspicious
    The skill is mostly aligned with using OpenRouter free models, but it reads broad credential sources and uses an unsafe shared temporary cache, so users should review it before installing.
    LLM: suspicious (high) · VirusTotal: · 12 Sept 2026