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AC roundtable-forge

Roundtable Forge. Use this skill when the user wants a multi-agent, cross-disciplinary roundtable discussion involving real people, historical figures, or fictional characters to explore a question in depth and breadth. Users may say things like "召集一个圆桌讨论", "让XX和YY讨论一下", "从不同角度分析这个问题", "跨学科圆桌", "多角色研讨", "召唤专家讨论", "每个角色一个 Agent", or "use roundtable-forge".

ClawHub Agent Skills author: 大痴小乙 v0.1.0 MIT-0 39 files body ≈ 3 924 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Roundtable Forge. Use this skill when the user wants a multi-agent, cross-disciplinary roundtable discussion involving real people, historical figures, or…

As a process C 62/100 · Has gaps — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedureAI 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 37. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "archetype"

    Process rating: all ten parameters 62/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Steps. 33 steps, 4 vague phrases
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Failures and branches. 7 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3924 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +4No input/output examples
    • -32 of 7 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 357: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 33 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (21 of 24)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a disclosed roundtable-discussion orchestrator whose file writes, scripts, web checks, and optional subagents fit its stated purpose.
    LLM: benign (high) · VirusTotal: · 8 Aug 2026