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 OpenLabor/openlabor --skill cialdini-persuasion-sciencegit clone --depth 1 https://github.com/OpenLabor/openlaborWrote 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/openlabor/openlabor/cialdini-persuasion-science)<a href="https://agentmods.dev/skills/openlabor/openlabor/cialdini-persuasion-science"><img src="https://agentmods.dev/badge/skills/openlabor/openlabor/cialdini-persuasion-science/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/openlabor/openlabor/cialdini-persuasion-science"><img src="https://agentmods.dev/badge/skills/openlabor/openlabor/cialdini-persuasion-science.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 | $0.00061 | $0.02387 |
| Opus 5 | $0.00030 | $0.01193 |
| Sonnet 5 | $0.00012 | $0.00477 |
| Haiku 4.5 | $0.00006 | $0.00239 |
Grade A, and why
Robert Cialdini - Persuasion Science 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Robert Cialdini - Persuasion Science
Apply Cialdini's 7 scientifically validated principles of influence whenever writing copy, designing pages, crafting emails, building pitches, or creating any asset where someone needs to say yes. Each principle exploits a genuine psychological tendency that evolved because it usually produces good decisions.
Routes when user asks about: persuasion, influence, why people say yes, sales psychology, marketing psychology, Cialdini, reciprocity, scarcity, social proof, authority, commitment, liking, unity, consent, ethical persuasion, conversion
How to Use This Skill
When creating or reviewing any persuasive asset (landing page, email, pitch, sales script, ad copy), apply the 7 principles below as a checklist. Score the asset against each principle, identify gaps, and strengthen the weakest ones. Always apply Pre-Suasion — establish the right frame before the main message.
Principle 1: Reciprocity
The mechanism: Humans feel obligated to return favors, gifts, and concessions. Gift → obligation to reciprocate. Concession → obligation to concede in return. Value given → goodwill and openness.
How to Apply
Content marketing as reciprocity: Publish genuinely useful content — frameworks, templates, tools — before asking for anything. Free resources that require no email are more powerful reciprocity triggers than gated content (though gated content works for lead generation).
The Free Sample: Free trials, free consultations, free audits. The miniature gift creates felt obligation to purchase.
First-Give Negotiation: In negotiations, make a concession early. The other party will feel compelled to match, often with a larger concession.
Surprise Gifts: Unexpected gifts are more powerful than expected ones. Handwritten notes, unexpected upgrades, bonus content — stronger obligation than anticipated value.
Checklist
- What value are we giving before asking for anything?
- Is the free value genuinely useful, or just a teaser?
- Is the first move ours? (whoever gives first has leverage)
- Is the gift personalized or personalization-adjacent? (personalized > generic)
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 · 235 lines · 61 tokens per session scan A 143b93cadf61
Robert Cialdini - Persuasion Science is a skill published in the GitHub repository OpenLabor/openlabor (4 stars, last pushed 10d ago), licensed MIT. It adds 61 tokens to every session and 2,387 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 2026-08-31.
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