Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add WenyuChiou/agent-collab-skills --skill agent-debategit clone --depth 1 https://github.com/WenyuChiou/agent-collab-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wenyuchiou/agent-collab-skills/agent-debate)<a href="https://agentmods.dev/skills/wenyuchiou/agent-collab-skills/agent-debate"><img src="https://agentmods.dev/badge/skills/wenyuchiou/agent-collab-skills/agent-debate/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wenyuchiou/agent-collab-skills/agent-debate"><img src="https://agentmods.dev/badge/skills/wenyuchiou/agent-collab-skills/agent-debate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.00633 |
| Opus 5 | $0.00012 | $0.00316 |
| Sonnet 5 | $0.00005 | $0.00127 |
| Haiku 4.5 | $0.00002 | $0.00063 |
Grade A, and why
agent-debate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-debate
Run a bounded adversarial review of a consequential trade-off. Debate improves the evidence visible to a decision maker; it does not establish truth by vote and does not authorize implementation.
Preconditions
Use debate only when:
- the positions are both plausible and materially different;
- the decision is consequential enough to justify independent review;
- the question can be falsified or informed by identifiable evidence; and
- the current policy allows the required work.
Do not debate a factual question that can be settled by direct verification, a minor naming preference, or a decision already made by an authorized human.
Roles
- Independent
reviewertask packets argue named positions. - A
synthesizercompares their evidence without external tool access unless the plan explicitly grants it. - The
primary-agentrecords the recommendation and presents it to the human. - The human approves, declines, or requests revision.
Provider and model names belong to host-adapter metadata, not the public debate contract.
Workflow
- Define the decision, alternatives, known facts, disputed assumptions, evidence standard, and human decision owner.
- Evaluate policy before every reviewer spawn. Persist a required checkpoint before continuing.
- Give each reviewer the same evidence packet plus one position to steel-man. Reviewers are argument-only and must not modify source files.
- After each plan-act-reflect cycle, update the
TaskCheckpointand evaluate policy. Stop immediately when policy saysstop. - Filter missing or failed reviewer outputs, but record their status. Never invent the absent side.
- Have the synthesizer separate agreed facts, contested claims, evidence quality, uncertainties, and falsifiable conditions that would change the recommendation.
- Present the synthesis to the human decision owner. No implementation or canonical-memory update occurs without an explicit recorded decision.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago Changed · -208 lines · -8 tokens per session f692e9d1a636
- 10d ago First seen · 288 lines · 32 tokens per session scan A f905dd6a5776
agent-debate is a skill published in the GitHub repository WenyuChiou/agent-collab-skills (26 stars, last pushed 5d ago), licensed MIT. It adds 24 tokens to every session and 633 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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