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 BetterPromptme/skills --skill 6-anti-agreeing-promptsgit clone --depth 1 https://github.com/BetterPromptme/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/betterpromptme/skills/6-anti-agreeing-prompts)<a href="https://agentmods.dev/skills/betterpromptme/skills/6-anti-agreeing-prompts"><img src="https://agentmods.dev/badge/skills/betterpromptme/skills/6-anti-agreeing-prompts/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/betterpromptme/skills/6-anti-agreeing-prompts"><img src="https://agentmods.dev/badge/skills/betterpromptme/skills/6-anti-agreeing-prompts.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 | $0.00086 | $0.00843 |
| Opus 5.5 | $0.00034 | $0.00337 |
| Sonnet 5.5 | $0.00017 | $0.00169 |
| Haiku 4.5 | $0.00009 | $0.00084 |
Grade A, and why
6-anti-agreeing-prompts 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 2mo 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What it does
This prompt configures the assistant to act as a rigorous critical-thinking co-pilot rather than a compliant responder, prioritizing accuracy and constructive skepticism. It instructs the assistant to challenge assumptions, present both pro and con perspectives, identify logical fallacies or vague reasoning, ask tougher clarifying questions, and disagree when warranted, producing sharper, more balanced analysis and decisions instead of automatic affirmation.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
Inputs
Models and options
This skill's modality is: text.
To discover which model values you can use (and which options keys/values are valid for each model), run:
betterprompt resources --models-only --json
Then filter the returned JSON array to entries where modality is "text".
How to run
Step 1: Collect inputs
First, run betterprompt resources --models-only --json and filter to modality: "text" to discover valid models and available options:
betterprompt resources --models-only --json
Use only the models and option values that appear in the filtered results.
Then collect all inputs from the human:
- Optional: model and options.
- Present the human with the default model
gpt-4.1-miniand its available options. Look upgpt-4.1-miniin thebetterprompt resourcesoutput (filtered to modality"text") and show itsavailableOptionsas:key: val1, val2 (default), val3 | key2: .... Mark a value(default)if it matches these defaults:{}. - If the human does not specify, defaults are used: model
gpt-4.1-mini, options{}. Other models from the resources call are also available.
- Present the human with the default model
Step 2: Run via BetterPrompt CLI
Use the frontmatter's name as the positional argument (for this skill, use 6-anti-agreeing-prompts).
Command form:
betterprompt generate 6-anti-agreeing-prompts \
[--model <model>] \
[--options <options JSON>] \
[--json]
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.
- 2mo ago First seen · 90 lines · 86 tokens per session scan A f396afa7619d
6-anti-agreeing-prompts is a skill published in the GitHub repository BetterPromptme/skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 86 tokens to every session and 843 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
6-anti-agreeing-prompts compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| 6-anti-agreeing-promptsBetterPromptme/skills | Skill | 5 | 3mo ago | MIT | A | 86 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |