Install
openclaw skills install @deciqai/reciprocityActivate when: someone is being unexpectedly generous before making a request; you're deciding whether to accept a gift, free sample, or unsolicited concession; you're designing a sales or fundraising sequence and want to give first; a negotiation counterpart just retreated from an extreme position and you feel pulled to match; you're asking "why do they keep buying me lunch?" or "should I send a gift first?" Do NOT activate when: the exchange is explicitly priced (commerce, not reciprocity); the gift is a normal recurring pattern in an established friendship with no pending ask.
openclaw skills install @deciqai/reciprocityThe rule of reciprocity — if someone gives you something, you owe them something back — recurs across virtually every documented human culture (Mauss 1925; Gouldner 1960). The rule operates below deliberation, scales asymmetrically, and fires even when the favor was unrequested or from someone you dislike. Regan (1971): a 10¢ Coke produced ~50¢ in compliance, and liking stopped predicting behavior once a favor was in play. Three operating properties: (1) asymmetric exchange — repayment routinely exceeds the favor; (2) override of liking — the obligation does the work; (3) "no obligation" disclaimers are part of the install, not an exception.
Composes with social-proof, anchoring (door-in-the-face combines reciprocity with concession-anchoring), and repeated-games-reputation.
Apply when: accepting a gift/sample/concession where the giver has a future ask; designing sales, fundraising, or partner-development sequences; a negotiation counterpart just conceded and you feel pulled to match; evaluating cumulative small gifts in regulated relationships; someone asks "why are they so generous?" or "should I concede back?"
When NOT to use: exchange is explicitly priced; gift is a normal friendship pattern with no pending ask; favor is too small to constrain any future action; bright-line legal/ethical rules apply — follow the rule, skip the analysis.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
[WAIT — do not advance until user responds]
[WAIT — do not advance until user responds]
[WAIT — do not advance until user responds]
Run the Reciprocity Analysis.
Favor: [what / cost to giver / value to me]
Eventual ask: [probable ask / time horizon / explicit or unstated]
Counterfactual: [would I say yes cold? yes → benign; no → decline install]
Structure: [door-in-the-face? concession-anchoring? cumulative?]
Decision: [move + why + how to execute]
→ Method in Action: Dennis Regan's Coke Experiment, Cornell, 1971
→ Primary sources: references/sources.md
[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.
| Fake move | Reality |
|---|---|
| [D] "It's just a small gift, it doesn't influence me" | Regan 1971: a 10¢ Coke produced ~50¢ of repayment. Small gifts are individually deniable, statistically reliable. |
| [D] "I'll accept but I won't be influenced" | The rule operates automatically; deliberate intent to resist provides only partial protection. If the obligation matters, decline up front or evaluate the ask in writing before it arrives. |
| [D] "I genuinely like them, that's why I'm helping" | Regan's finding: in the favor condition, liking dropped out as a predictor. If liking has stopped predicting your behavior, obligation has taken over. |
| [D] "It's only a problem if the gift is large" | Wazana 2000, Dana & Loewenstein 2003: even small gifts produce significant behavioral effects. Bright-line rules exist because per-event analysis underestimates cumulative impact. |
| [D] "They said no obligation, so it's genuine" | The disclaimer is part of the staged install — it prevents refusal; the ask comes later. |
| [D] "Door-in-the-face isn't real, it's just negotiation" | Cialdini et al. 1975 (JPSP): one of the most replicated influence findings. Naming the technique reduces but does not eliminate its pull. |
| → Add [O] entries here after each real use — paste the actual failure pattern | What went wrong and why |
Part of deciqAI Knowledge Skills — 163 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/skills/reciprocity?utm_source=clawhub&utm_medium=marketplace&utm_campaign=knowledge-skills&utm_content=reciprocity · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.