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OC Team Builder
by
Joe Szeles
· GitHub ↗
· v2.0.0
· MIT-0
244
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0
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1
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1
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Install in OpenClaw
/install oc-team-builder
Description
Discover, compose, and activate specialist teams from 3 rosters — OpenClaw Core (CEO/Artist), Agency Division (55+ specialists), and Research Lab (autonomous...
Usage Guidance
This skill appears to do what it says, but it contains scripts that will modify local git repositories, commit/revert code, run arbitrary experiment commands, and write logs (including an explicit 'NEVER STOP' autonomous research loop in the documentation). Before using: 1) Review the scripts (especially experiment.sh and its default run-cmd) and understand the default commands (uv run train.py / grep metric). 2) Run experiments only in isolated test projects or clones (not in production repos or with sensitive data). 3) Ensure you have appropriate resource/time budgets — experiments can be CPU/GPU and time intensive and the script may timeout/kill runs but also can be configured to run repeatedly. 4) Back up or work on disposable branches before allowing commits; expect the script to create branches and commit changes. 5) If you do not want code modified autonomously, do not run the experiment --run flow or remove/lock write/commit permissions. 6) Confirm no sensitive secrets or credentials exist in the project directories the scripts will touch. If you want greater assurance, request the missing scripts that were truncated (plan.sh, review.sh, roster.sh) and a full audit of any default run commands and their downstream effects.
Capability Analysis
Type: OpenClaw Skill
Name: oc-team-builder
Version: 2.0.0
The skill bundle implements a multi-agent orchestration system with a 'Research Lab' feature that uses autonomous experiment loops. A significant security concern exists in `scripts/experiment.sh`, which utilizes `eval` to execute strings provided via the `--run-cmd` and `--metric-cmd` arguments, creating a high risk for shell injection. Additionally, the 'autoresearch' methodology described in `references/TEAM-RESEARCH.md` and `SKILL.md` explicitly instructs the AI agent to autonomously modify and execute code (`train.py`) in a continuous loop; while this aligns with the stated purpose of the skill, the combination of `eval` and autonomous execution without strict sandboxing or input validation poses a substantial risk of remote code execution (RCE).
Capability Assessment
Purpose & Capability
Name/description (team composition + Research Lab/autoresearch) match the provided files and scripts: roster/plan/activate/review scripts and a research experiment runner. Required binaries (bash) are appropriate for shell scripts. No unrelated credentials, binaries, or install steps are requested.
Instruction Scope
SKILL.md and the scripts direct the agent to list/print agent definitions, propose teams, activate personality files, run QA reviews (writing logs to ~/.openclaw/team-reviews/), and run autoresearch-style experiment loops. The experiment workflow explicitly edits an "in-scope" file (default: train.py), commits to git branches, runs arbitrary run-commands (default: 'uv run train.py'), extracts metrics, and may 'loop forever' if used as described. Those actions are coherent with autonomous research but imply file modification, git history mutation, and potentially heavy resource use — all of which are beyond mere read-only team composition.
Install Mechanism
No external install spec is provided; the package is distribution of shell scripts and markdown files. No downloads or archive extraction are performed by the skill itself. This is low-risk from an install-source perspective, but the scripts will execute local commands on the host when run.
Credentials
The skill declares no required environment variables or secrets. Scripts optionally respect OPENCLAW_AGENCY_DIR to locate agent definitions, which is a reasonable override. Nothing requests cloud or unrelated credentials. The experiment runner executes user-specified run commands and metric extraction, which can access anything the invoking user has access to — expected but worth noting.
Persistence & Privilege
always:false (normal). The scripts create git branches, commit changes, write ledgers (results.tsv) and logs in project directories and ~/.openclaw/team-reviews/. They do not modify other skills' configs, but their file-write and git operations are powerful: they persist changes to repositories and can run resource-intensive jobs. This level of privilege is coherent with the Research Lab purpose but should be treated carefully.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install oc-team-builder - After installation, invoke the skill by name or use
/oc-team-builder - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.0
Rebuild with executable scripts, autoresearch experiment loops, removed trading/IG references
Metadata
Frequently Asked Questions
What is OC Team Builder?
Discover, compose, and activate specialist teams from 3 rosters — OpenClaw Core (CEO/Artist), Agency Division (55+ specialists), and Research Lab (autonomous... It is an AI Agent Skill for Claude Code / OpenClaw, with 244 downloads so far.
How do I install OC Team Builder?
Run "/install oc-team-builder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is OC Team Builder free?
Yes, OC Team Builder is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does OC Team Builder support?
OC Team Builder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created OC Team Builder?
It is built and maintained by Joe Szeles (@joeszeles); the current version is v2.0.0.
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