Vendor Management
alirezarezvani/claude-skills
A skill your agent uses when reviewing, scoring, or auditing third-party SaaS / vendor relationships — running a vendor scorecard with industry tuning, tracking SLA compliance with credit-claim…
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…
$ npx skills add autonomous-ai/openharness --skill roundtable -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autonomous-ai/openharness roundtable --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "roundtable" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/roundtable/skills/roundtable into .claude/skills/roundtable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundtable", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/autonomous-ai/openharness/tree/main/store/agents/roundtable/skills/roundtableType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add autonomous-ai/openharness --skill roundtable -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autonomous-ai/openharness roundtable --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/store/agents/roundtable/skills/roundtable .agents/skills/roundtable && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "roundtable" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/roundtable/skills/roundtable into .agents/skills/roundtable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundtable", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/openharness --skill roundtable -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autonomous-ai/openharness roundtable --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/store/agents/roundtable/skills/roundtable .cursor/skills/roundtable && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "roundtable" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/roundtable/skills/roundtable into .cursor/skills/roundtable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundtable", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/autonomous-ai/openharness.git --path store/agents/roundtable/skills/roundtable--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add autonomous-ai/openharness --skill roundtable -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autonomous-ai/openharness roundtable --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/store/agents/roundtable/skills/roundtable .gemini/skills/roundtable && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "roundtable" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/roundtable/skills/roundtable into .gemini/skills/roundtable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundtable", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install autonomous-ai/openharness roundtableInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add autonomous-ai/openharness --skill roundtable -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .github/skills && cp -r skills-src/store/agents/roundtable/skills/roundtable .github/skills/roundtable && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "roundtable" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/roundtable/skills/roundtable into .github/skills/roundtable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundtable", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/openharness --skill roundtable -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install autonomous-ai/openharness roundtable --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/store/agents/roundtable/skills/roundtable .opencode/skills/roundtable && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "roundtable" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/roundtable/skills/roundtable into .opencode/skills/roundtable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roundtable", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
roundtableRun 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. 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.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54a1f1b. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from autonomous-ai/openharness at commit 54a1f1b, republished under its MIT licence (© autonomous-ai). 1,056 words, ~1,606 tokens.
.claude/skills/roundtable/SKILL.md (or your agent's skills folder).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.
A motion is not the user's question repeated. It is the question made decidable. Three parts, and
all three go in motion.md:
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.
| Preset | Seats | When |
|---|---|---|
| Panel (default) | 3–4 vendors, no stances | "what do they actually think" — nearly always the right room |
| Red team | one proposal in the motion, every seat told to break it | a decision you have already made and want attacked |
| Trial | two seats with opposed stances, one seat as judge | a binary call that costs real work either way |
Rules that matter more than the preset:
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.
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).
silent is a verdict. A seat that never engaged did not agree. Marking silence as agreement is
the fastest way to fake consensus.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.
decision.md has four parts and no more:
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.
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
Just SKILL.md in store/agents/roundtable/skills/roundtable of autonomous-ai/openharness.
Open the folder on GitHubat commit 54a1f1b
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Roundtable this skillautonomous-ai/openharness | 1.1k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Vendor Managementalirezarezvani/claude-skills | 28k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Vendor Managementsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.8k | Automated safety check: Pass | MIT | |
| RoundtableLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.8k | Automated safety check: Pass | MIT | |
| Vendor Contractor Managementsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Managing Third Party Vendor Riskmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 |
alirezarezvani/claude-skills
A skill your agent uses when reviewing, scoring, or auditing third-party SaaS / vendor relationships — running a vendor scorecard with industry tuning, tracking SLA compliance with credit-claim…
sickn33/agentic-awesome-skills
Implement vendor risk management programs. An agent skill from sickn33/agentic-awesome-skills.
LeoYeAI/openclaw-master-skills
Adaptive multi-model AI roundtable. An agent skill from LeoYeAI/openclaw-master-skills.
sickn33/agentic-awesome-skills
Vendor register: name, type, services, contact, linked contract dates, payment terms and rating.
mukul975/Anthropic-Cybersecurity-Skills
Build and run a third-party/vendor risk management (TPRM) program aligned to NIST SP 800-161 C-SCRM: inventory and tier vendors, issue SIG/CAIQ questionnaires, review SOC 2/ISO 27001 evidence, set…
cbrock84/headcount
Selects, contracts, and manages suppliers and vendors — requirements, evaluation, negotiation support, onboarding, performance management, and exit.
autonomous-ai/openharness
Slices 3D mesh files into printer-profiled plain G-code through real slicer CLIs, with backend discovery, input inspection, dry runs and static validation.
autonomous-ai/openharness
Turns a home-automation request into standard, testable automations.yaml, run against Home Assistant Core's real triggers and verified with its own trace tool.
autonomous-ai/openharness
Turns a musical brief into LilyPond concert-pitch music, checked parts for each instrument and a playable practice pack.
autonomous-ai/openharness
Turns an STL and explicit printer and material requirements into compared OrcaSlicer plans, an editable 3MF project, checked G-code and a portable handoff.
autonomous-ai/openharness
Builds an editable DOCX report, a formula-driven XLSX workbook and a fresh LibreOffice PDF preview from one structured source file, then checks them together.
autonomous-ai/openharness
Dry-run, upload, and cautiously initiate local Bambu Lab print jobs from validated plain .gcode, using Bambu LAN FTPS/MQTT handoffs.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Roundtable is instructions for the agent only.
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.
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.
Roundtable is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
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.
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.
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.