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 YannisKiefer/dark-psychology-skills --skill discovery-powergit clone --depth 1 https://github.com/YannisKiefer/dark-psychology-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/yanniskiefer/dark-psychology-skills/discovery-power)<a href="https://agentmods.dev/skills/yanniskiefer/dark-psychology-skills/discovery-power"><img src="https://agentmods.dev/badge/skills/yanniskiefer/dark-psychology-skills/discovery-power/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/yanniskiefer/dark-psychology-skills/discovery-power"><img src="https://agentmods.dev/badge/skills/yanniskiefer/dark-psychology-skills/discovery-power.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 | $0.00023 | $0.00396 |
| Opus 5 | $0.00012 | $0.00198 |
| Sonnet 5 | $0.00005 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
discovery-power 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.
What it actually says
Discovery Power
The Big Idea
Direct questions make people shut down. Smart moves make them open up and feel smart too.
People never argue with their own ideas. So don't give conclusions. Ask questions that lead them there.
The Moves
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Name their worst thought first. "You probably think this is a scam. Fair." Now their shield has nothing to block.
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Label the feeling. "Seems like timing worries you." Right? Trust jumps. Wrong? They correct you. That's the real answer.
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Repeat their last words as a question. Them: "The last guy disappeared." You: "Disappeared?" They keep talking. You learn everything.
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Ask "what" and "how". Never "why". "What happened with the last person you tried?" "How would this need to work for you to say yes?" "Why" sounds like blame.
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Make "no" safe. People say no to pushes but yes to choices: "Would it be crazy to start with the free sample?"
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Summarize until they say "that's right". Tell their story back to them, short. "That's right" means real agreement. "You're right" means they manage you.
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Say something almost true. "Most owners already paid someone who ghosted them." Their correction tells you their story.
When It Backfires
- Two questions in one message. Feels like an arrest.
- Mirroring twice in a row. Feels like mocking.
- Using labels on people who already trust you. Starts feeling like tricks.
One-Line Memory
Good questions close deals while you talk less.
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 · 57 lines · 23 tokens per session scan A 2f0f3ff4ef7d
discovery-power is a skill published in the GitHub repository YannisKiefer/dark-psychology-skills (5 stars, last pushed 17d ago), licensed MIT. It adds 23 tokens to every session and 396 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 2026-08-31.
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