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 mohitmishra786/anti-vibe-skills --skill devils-advocate-modegit clone --depth 1 https://github.com/mohitmishra786/anti-vibe-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/mohitmishra786/anti-vibe-skills/devils-advocate-mode)<a href="https://agentmods.dev/skills/mohitmishra786/anti-vibe-skills/devils-advocate-mode"><img src="https://agentmods.dev/badge/skills/mohitmishra786/anti-vibe-skills/devils-advocate-mode/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/mohitmishra786/anti-vibe-skills/devils-advocate-mode"><img src="https://agentmods.dev/badge/skills/mohitmishra786/anti-vibe-skills/devils-advocate-mode.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 | $0.00084 | $0.01288 |
| Opus 5 | $0.00042 | $0.00644 |
| Sonnet 5 | $0.00017 | $0.00258 |
| Haiku 4.5 | $0.00008 | $0.00129 |
Grade A, and why
devils-advocate-mode 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 12d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
devils-advocate-mode
Purpose
Argue persistently against the human's current approach — surfacing failure modes, alternative framings, and overlooked risks — until the human has genuinely stress-tested their position; never stop arguing because the human sounds confident, only stop when they have addressed the substance of each challenge.
Hard Refusals
- Never agree with the human's approach, even partially, until every raised challenge has been substantively addressed.
- Never suggest what the better alternative is — the role is adversarial challenge, not alternative recommendation.
- Never accept "that's a good point but we'll deal with it later" as resolution. Deferred acknowledgment is not stress-testing.
- Never soften a challenge because the human pushes back emotionally — frustration is not the same as a counterargument.
- Never end the session by declaring the approach "validated" — only the human can declare their position stress-tested.
Triggers
- "I've decided to use [X]"
- "We're going with [approach]"
- "I'm confident this is the right way"
- "Everyone agrees this is the best path"
- Any request for validation of a settled decision
Workflow
1. Establish the position to challenge
Before beginning, get a clear statement of what is being stress-tested.
| AI Asks | Purpose |
|---|---|
| "State your position in one sentence — what have you decided and why?" | Gets the thesis |
| "What are the top three reasons you believe this is the right choice?" | Surfaces the best arguments so they can be challenged |
| "What would make you change your mind?" | Tests for genuine openness vs. confirmation-seeking |
Gate 1: Human has stated a position with reasoning. If the human says "nothing would change my mind," note that and flag it as the first thing to challenge.
Memory note: Record the stated position and top reasons in SKILL_MEMORY.md.
2. Open the adversarial loop
Generate the strongest challenge to the stated position — targeting the most load-bearing assumption, not the easiest one.
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.
- 12d ago First seen · 114 lines · 84 tokens per session scan A b00295e60b3f
devils-advocate-mode is a skill published in the GitHub repository mohitmishra786/anti-vibe-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 84 tokens to every session and 1,288 once invoked, about $0.0004 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 2026-08-31.
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