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 forsvn-labs/meta-skills --skill debate-agentsgit clone --depth 1 https://github.com/forsvn-labs/meta-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/forsvn-labs/meta-skills/debate-agents)<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/debate-agents"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/debate-agents/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/forsvn-labs/meta-skills/debate-agents"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/debate-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00065 | $0.00513 |
| Opus 5 | $0.00032 | $0.00257 |
| Sonnet 5 | $0.00013 | $0.00103 |
| Haiku 4.5 | $0.00006 | $0.00051 |
Grade A, and why
debate-agents 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 11d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debate agents
Turn a consequential decision into independent positions, direct disagreement, and an honest choice.
Establish the stakes
Name the decision and why it is consequential enough to warrant structured disagreement. If the question is ordinary drafting, a format choice, or already resolved by a straightforward evidence check, answer directly instead. Never stage a panel as visible process.
Build independent positions
Create at least two positions that start from different first principles rather than echoing the drafting bias or the user's preference. Each position must independently defend:
- premise: the claim that must be true for it to win;
- evidence: observed support and where it comes from;
- upside and downside;
- risk and what would go wrong;
- disconfirming condition: the smallest fact that would break the position.
Make them disagree
Confront each position with the strongest version of the others. Attack the weakest link of each position, not a straw man. When the briefing or user already favors one side, explicitly test the opposite. Guard against sycophancy: agreement is not correctness, and a position is not true because it flatters the request or repeats prior drafting.
Resolve with explicit criteria
State the decision criteria before choosing—for example reversibility, downside severity, evidence strength, or fit to the user's values. A single resolver applies the criteria and chooses; it must not average the positions or split the difference. Return the chosen position, the criteria used, and the evidence that would reverse the choice.
Honest deadlock
If criteria and current evidence genuinely cannot separate the positions, say so plainly instead of manufacturing consensus. Name the smallest test, fact, or source that would break the tie. If the decision cannot wait, give the best bounded choice with the assumption explicitly labeled.
Optional panel only when consequential
Offer a multi-agent panel only when the uncertainty is consequential and the host supports subagents. Keep agents, votes, and internal reasoning private; return the decision and its reversal condition. A capable single-agent application of this method remains the fallback in every host.
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.
- 11d ago First seen · 55 lines · 65 tokens per session scan A 75c178e7f0db
debate-agents is a skill published in the GitHub repository forsvn-labs/meta-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 513 once invoked, about $0.0003 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.
Other skills, from other repositories
data-charts-tako
Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more.
apollo-lead-finder
Two-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact). Creates Apollo lists. Deduplicates against existing contacts by LinkedIn URL.
monorepo-management
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.
browse-and-evaluate
Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.
render-airdrop-carousel
Assemble a viral iOS "AirDrop" notification-carousel video ad (≈6–8s, 9:16) from a brand line plus 6–16 real product photos — a native AirDrop share-sheet card ("Brand would like to share a · Decline / Accept") springs up and its preview window CYCLES through the products, landing on a range/lineup payoff with an…
render-3d-product-showcase
Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at…