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AC moa-service-client

Call the internal MOA Service to create repository-pinned technical designs, monitor asynchronous runs, diagnose stage/model failures, and download verified artifacts. Use for MOA design execution or integration, not for implementing the resulting design or changing MOA deployment.

ClawHub Agent Skills author: KingFisher v1.0.0 MIT-0 10 files body ≈ 731 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Call the internal MOA Service to create repository-pinned technical designs, monitor asynchronous runs, diagnose stage/model failures, and download verified…

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorInfrastructureSoftware developmenttype 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
92/100
safety, quality, tests
Safety 60%
90
Quality 40%
95
Run on models
none yet
Process rating
C
52/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • medium Exfiltration net-redirectable-api-key scripts/moa_client.py:233
      Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
      API key + configurable base URL from environment
    • low Secrets in code secret-high-entropy-token .claude/settings.local.json:12
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "PowerShell(python \"skills/moa-service-client/scripts/moa_client.py\" create --request-id LOCA…187 --prompt-file \"model-parameter-investigation-brief.md\" --repo \"Bi
      quoted
    • low Secrets in code secret-high-entropy-token .claude/settings.local.json:13
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "PowerShell(python \"D:\\\\Desktop\\\\MoA Service\\\\skills\\\\moa-service-client\\\\scripts\\\\moa_client.py\" create --request-id LOCA…187 --prompt-file \"D:\\\\Deskt
      quoted
    • low Secrets in code secret-high-entropy-token .claude/settings.local.json:17
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "PowerShell(python \"D:\\\\Desktop\\\\MoA Service\\\\skills\\\\moa-service-client\\\\scripts\\\\moa_client.py\" create --request-id LOCA…ry2 --prompt-file \"D:\\\\Desktop
      quoted
    • low Secrets in code secret-high-entropy-token .claude/settings.local.json:22
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "PowerShell(python \"D:\\\\Desktop\\\\MoA Service\\\\skills\\\\moa-service-client\\\\scripts\\\\moa_client.py\" create --request-id LOCA…ry3 --prompt-file \"D:\\\\Desktop
      quoted
    • low Secrets in code secret-high-entropy-token .claude/settings.local.json:25
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "PowerShell(python \"D:\\\\Desktop\\\\MoA Service\\\\skills\\\\moa-service-client\\\\scripts\\\\moa_client.py\" create --request-id LOCA…ate --prompt-file \"D:\\\
      quoted

    Files scanned: 10. 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 52/100

    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 100Steps. 14 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 731 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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 282: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: suspicious
    The skill is a real MOA service client, but it ships sensitive local credentials and broad operator/admin access that users should review before installing.
    LLM: suspicious (high) · 4 Sept 2026