Agent skill

Roundtable

by autonomous-ai in autonomous-ai/openharness

Run a decision through a panel of coding agents from different vendors — writing the motion, seating the room, the sealed-openings protocol, tagging the claim map, pressing a split, and writing a…

MITAuto-check passed

Install Roundtable

skills CLI
$ npx skills add autonomous-ai/openharness --skill roundtable -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install autonomous-ai/openharness roundtable --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/store/agents/roundtable/skills/roundtable .claude/skills/roundtable && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
roundtable
GitHub stars
1.1k
Token cost
~1.6k tokens
SKILL.md length
1,056 words
Files
1
Skills in repo
99
Repo updated
First seen
Licence
MIT

At a glance

Run a decision through a panel of coding agents from different vendors — writing the motion, seating the room, the sealed-openings protocol, tagging the claim map, pressing a split, and writing a…

  • Works in 6 steps: The motion → Seating the room → The rounds → …
  • SKILL.md covers 1. The motion, 2. Seating the room, 3. The rounds and 4. The claim map, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Roundtable is an agent skill from autonomous-ai/openharness. Run a decision through a panel of coding agents from different vendors — writing the motion, seating the room, the sealed-openings protocol, tagging the claim map, pressing a split, and writing a decision that picks and keeps its dissent. Read before opening a room.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across… The licence is MIT.

Example prompts

  • “/roundtable”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. The motion
  2. Seating the room
  3. The rounds
  4. The claim map
  5. The decision
  6. What a good room looks like from the chat

What it can do on your machine

Read from SKILL.md and the folder at commit 54a1f1b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Roundtable loads about 1.6k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 1,056 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from autonomous-ai/openharness at commit 54a1f1b, republished under its MIT licence (© autonomous-ai). 1,056 words, ~1,606 tokens.

Download SKILL.mdSave it as .claude/skills/roundtable/SKILL.md (or your agent's skills folder).
name
roundtable
description
Run a decision through a panel of coding agents from different vendors — writing the motion, seating the room, the sealed-openings protocol, tagging the claim map, pressing a split, and writing a decision that picks and keeps its dissent. Read before opening a room.

roundtable

A room here is a decision being made, not a debate being staged. Four agents from four vendors research the question independently, argue about what they found, and the person watching walks away able to act. This skill is the craft of running that room. Read it once, then open one.

1. The motion

A motion is not the user's question repeated. It is the question made decidable. Three parts, and all three go in motion.md:

  • The decision, in one line. A real fork. "Should the Windows port be native, or WSL2?" is a motion. "Thoughts on Windows?" is a topic, and a topic produces four essays nobody reads.
  • The constraints that make it hard. Who is doing the work, what already exists, what it costs to be wrong. This is where a room gets its teeth — without it every seat answers the generic version of the question and they all agree.
  • What would settle it. Name the evidence that would end the argument. It tells the seats what to go and look for, and it tells you afterwards whether the room actually did the work.

If the user's first message has only part of this, write the rest yourself and let them correct it. A motion on the page beats an interview.

Point the room at evidence. --evidence <path> gives every seat read access to the real thing — the repository, the folder, the data. It is the difference between four models arguing about your decision and four models arguing about decisions like yours. Use it whenever the subject is something on disk.

Scope the evidence tightly. Hand a seat a whole monorepo and some engines will read it until the timeout and answer nothing at all, while others skim four files and answer well — and you will have learnt about their search strategies instead of about your decision. Name the folder the question turns on. The seats are told to time-box their reading to roughly 70% of --timeout, but that only works if the pile is finite.

2. Seating the room

PresetSeatsWhen
Panel (default)3–4 vendors, no stances"what do they actually think" — nearly always the right room
Red teamone proposal in the motion, every seat told to break ita decision you have already made and want attacked
Trialtwo seats with opposed stances, one seat as judgea binary call that costs real work either way

Rules that matter more than the preset:

  • Two vendors minimum. Three or four is the good room. Four seats of the same engine is a mirror with extra steps — if only one vendor is installed, say so plainly and run it anyway, but do not pretend it is a panel.
  • Stance ≠ engine. They are separate axes. Keep them separate so that when the room splits you can tell whether the split came from a different model or from a role you assigned. If you assign stances, put that in the chat: an assigned position is not a belief.
  • Absent is fine. A vendor that is not installed or not logged in shows as an empty cell with the reason. Never quietly drop it from the seating — the missing vendor is information.

3. The rounds

room run opening → room run cross → room run converge. All seats run at once, so a round costs the slowest seat, not the sum. What each round asks for is already in the prompts; what you control is when to stop.

Openings are sealed. Seats run outside the workspace and cannot read each other's files. This is the load-bearing rule: in any shared-context loop these agents converge on whoever spoke first, politely and fast, and four voices agreeing teaches nothing. If someone asks you to "let them discuss it", explain what that costs and offer another round instead.

Stop after cross-examination. Report the split and ask the chair what to press. A room that runs start to finish without the user is a report, and they could have got a report from one agent.

Pressing a point is a new round on a narrowed motion, not a private chat with one seat: amend motion.md with what the chair wants settled, then run cross again. The pane keeps both passes.

Show full SKILL.md (350 more words)Show less

4. The claim map

This is the artifact most people actually read, and it is yours. After the openings, write claims.json: five to eight claims the room turns on, each in the seats' own words, each with a vote per seat (agree / disagree / silent).

  • Extract, don't invent. A claim must be traceable to a line someone wrote.
  • silent is a verdict. A seat that never engaged did not agree. Marking silence as agreement is the fastest way to fake consensus.
  • Sharp beats fair. "WSL2 users lose native file-watching performance" is a claim. "There are tradeoffs around performance" is not, and it will be agree from everyone, which tells the chair nothing.

Rows where everyone agrees are settled — the chair can stop thinking about them. Rows that split are the decision. That contrast is the whole point of the table, so keep the claims at a grain where both kinds appear.

5. The decision

decision.md has four parts and no more:

  1. The call. One line. Pick. "Both have merit" is not a call.
  2. Why, in the room's terms. Quote the seats. If you are relying on a claim only one seat made, say which seat and that it stood alone.
  3. What it costs if this is wrong, and the earliest signal you would see.
  4. The dissent, by name. "codex still holds that the daemon is only incidentally tmux-shaped, and would be right if probeDsh is the only place that scans panes." Never delete the losing argument; a decision you can reopen in six months is worth more than one that reads clean.

Then room decide. The verdict goes ready only when a decision exists and every seat answered every round — a room that entertained and decided nothing is not done.

6. What a good room looks like from the chat

Four lines to open. Silence while a round runs. Then the split, quoted, with the pane pointed at. Never retell the transcript — it is on screen beside you, and retelling it turns a room back into the single-agent answer the user was trying to get away from.

© autonomous-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in store/agents/roundtable/skills/roundtable of autonomous-ai/openharness.

Open the folder on GitHubat commit 54a1f1b

Compare with similar skills

Roundtable next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Vendor Managementsickn33/agentic-awesome-skills47k2 repos~3.8kAutomated safety check: PassMIT
RoundtableLeoYeAI/openclaw-master-skills2.2k—~4.8kAutomated safety check: PassMIT
Vendor Contractor Managementsickn33/agentic-awesome-skills47k1 repos~3.5kAutomated safety check: PassMIT
Managing Third Party Vendor Riskmukul975/Anthropic-Cybersecurity-Skills34k—~2.2kAutomated safety check: PassApache-2.0

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Questions about Roundtable

What does Roundtable do?

Run a decision through a panel of coding agents from different vendors — writing the motion, seating the room, the sealed-openings protocol, tagging the claim map, pressing a split, and writing a…. Roundtable is an agent skill from autonomous-ai/openharness. Run a decision through a panel of coding agents from different vendors — writing the motion, seating the room, the sealed-openings protocol, tagging the claim map, pressing a split, and writing a decision that picks and keeps its dissent.

How do I install Roundtable in Claude Code?

Run `npx skills add autonomous-ai/openharness --skill roundtable -a claude-code`. Or copy the skill folder (store/agents/roundtable/skills/roundtable in autonomous-ai/openharness) into .claude/skills/roundtable in your project. Claude Code loads it when a task matches its description.

How do I install Roundtable in Codex?

Run `npx skills add autonomous-ai/openharness --skill roundtable -a codex`. Or copy the skill folder (store/agents/roundtable/skills/roundtable in autonomous-ai/openharness) into .agents/skills/roundtable in your project. Codex loads it when a task matches its description.

Can I use Roundtable in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add autonomous-ai/openharness --skill roundtable -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/roundtable, .gemini/skills/roundtable, .github/skills/roundtable and .opencode/skills/roundtable in your project.

What does Roundtable need to run?

SKILL.md names no scripts, command-line tools or credentials: Roundtable is instructions for the agent only.

Does Roundtable access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Roundtable safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Roundtable use?

Roundtable is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Roundtable use?

About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Roundtable?

Skills that share tags, products or a category with Roundtable: Vendor Management (alirezarezvani/claude-skills, 28k stars), Vendor Management (sickn33/agentic-awesome-skills, 47k stars), Roundtable (LeoYeAI/openclaw-master-skills, 2.2k stars) and Vendor Contractor Management (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Roundtable?

autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,137 GitHub stars. The repository holds 99 skills in this directory. The repository was last updated on October 7, 2026.

Source: autonomous-ai/openharness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.