Adversarial Committee
CheckedThis skill simulates a diverse committee of AI opinions to generate robust and less biased responses by mitigating individual model weaknesses.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add simhacker/moollm --skill adversarial-committee -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
simhacker
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned simhacker/moollm at 8f6d840b2f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8f6d840b2f
- Scanned
- 6 files, 944 lines
About this skill
What it does
The adversarial-committee skill allows an AI agent to simulate a committee of diverse perspectives, challenging its own reasoning and outputs. It generates counterarguments and alternative viewpoints to identify potential flaws or biases in initial conclusions. This process aims to improve the robustness and reliability of the agent's responses by incorporating critical feedback.
When to use it
- Decision-making scenarios: When an AI needs to make a recommendation or judgment, this skill can help explore alternatives and potential downsides.
- Content generation: To ensure generated content is well-rounded and considers opposing viewpoints.
- Risk assessment: Identify vulnerabilities in plans or strategies by simulating challenges from different perspectives.
- Bias mitigation: Proactively uncover and address biases present in the agent's reasoning process.
Key capabilities
- Simulates diverse committee members.
- Generates counterarguments to initial proposals.
- Identifies potential flaws in reasoning.
- Incorporates alternative viewpoints.
Example prompts
- "Let’s plan a marketing campaign for our new product. Use the adversarial-committee skill to challenge my ideas."
- "I'm writing an essay arguing X. Can you use the adversarial-committee skill to generate counterarguments?"
- “Evaluate this business proposal using the adversarial-committee skill, focusing on potential risks.”
Tips & gotchas
The effectiveness of this skill depends on providing clear context and defining the scope of the committee's perspective. Consider specifying the types of viewpoints you want the "committee" to represent for more targeted feedback.