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BC aisa-provider

Configure AIsa as an OpenAI-compatible provider endpoint for OpenClaw and related runtimes. Use this skill when the user wants to set `AISA_API_KEY`, point a client at `https://api.aisa.one/v1`, inspect AIsa model IDs, compare routed model options such as Qwen, DeepSeek, Kimi, and Doubao, or troubleshoot provider configuration. Use when: the user needs model routing, provider setup, or Chinese LLM access guidance.

ClawHub Agent Skills author: AIsa v1.0.4 MIT-0 6 files body ≈ 2 403 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationAI 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
89/100
safety, quality, tests
Safety 60%
98
Quality 40%
76
Run on models
none yet
Process rating
C
57/100
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

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration net-credential-use SKILL.md:216
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl https://api.aisa.one/v1/models -H "Authorization: Bearer $AISA_API_KEY"
      vendor-host
    • low Exfiltration net-credential-use SKILL.md:235
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl https://api.aisa.one/v1/models -H "Authorization: Bearer $AISA_API_KEY"
      vendor-host

    Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "source"
    • note frontmatter-key unknown frontmatter key "primaryEnv"
    • note frontmatter-key unknown frontmatter key "requires"

    Process rating: all ten parameters 57/100

    • 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
    • 40Consistency. Frontmatter name (aisa-provider) differs from the folder (aisa-provider-slot3)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 33 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Execution cost. Instruction body is 2403 tokens
    • 100Running it twice. Mutating operations check current state
    • low 10 top-level sections: this looks like several domains in one skill

    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
    • -213 emoji in the instructions: noise for the model
    • -43 reference files, but SKILL.md never points to them: the model will not open them
    • +2Single-language instructions
    • +3Description length 417: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 33 items
    • +4Has examples (9 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

    External checks

    ClawHub: clean
    This is a documentation-only setup guide for using AIsa as an OpenAI-compatible model provider, with the API key and external routing behavior disclosed.
    LLM: benign (high) · VirusTotal: · 29 May 2026