apply-door-in-the-face

apply-door-in-the-face is a skill for Claude Code from jeffreytse/grimoire-core. It costs 76 tokens per session (1,812 once invoked), scanned A, original, MIT.

A negotiation method that begins with a larger, plausible request and then moves to the smaller request you actually want. The retreat makes the smaller request seem like a concession and more reasonable by comparison.

In plain words
What is it for?
Use it when negotiating a specific request, provided the opening request is genuine and plausible rather than deceptive.
Why use it?
Asking only for the smaller request may produce a refusal. A visible move downward can encourage the other party to make a concession in return.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the grimoire-business plugin — 156 skills shipped together

Good fit Use it when negotiating a specific request, provided the opening request is genuine and plausible rather than deceptive.

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Install with agentmods
npx agentmods add skills/jeffreytse/grimoire-core/apply-door-in-the-face
Install

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.

Any agent
npx skills add jeffreytse/grimoire-core --skill apply-door-in-the-face
Clone the repo
git clone --depth 1 https://github.com/jeffreytse/grimoire-core

Made for: Claude Code.

Or install grimoire-business, the plugin that ships this one along with the rest of its 156 skills.

Wrote 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.

agentmods badge for apply-door-in-the-face

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-door-in-the-face/github.svg)](https://agentmods.dev/skills/jeffreytse/grimoire-core/apply-door-in-the-face)
Your own site
<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/apply-door-in-the-face"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-door-in-the-face/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.

agentmods 80×15 button for apply-door-in-the-face

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/apply-door-in-the-face"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-door-in-the-face.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,812 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00076 $0.01812
Opus 5.5 $0.00030 $0.00725
Sonnet 5.5 $0.00015 $0.00362
Haiku 4.5 $0.00008 $0.00181

Measured 4d ago against content hash cdd025576d25, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

apply-door-in-the-face 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 4d 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.

skills/business/strategy/skills/apply-door-in-the-face/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apply Door-in-the-Face

Open with a larger, genuinely plausible request you expect to be refused, then immediately retreat to your actual target request as a visible concession — because the perceived retreat triggers reciprocal concession pressure and a contrast effect that both increase compliance with the smaller request beyond what asking for it directly would produce.

Why This Is Best Practice

Why best: 以退为进 ("retreat in order to advance") names the same underlying structure Cialdini's research formalized decades later: a deliberate step back is not a loss but the specific move that makes the actual advance possible. The mechanism has two distinct, documented components — a reciprocal-concession effect (the other party experiences your retreat from the large request as a concession, creating social pressure to concede something in return, which they do by agreeing to the smaller request) and a contrast effect (the smaller request appears more reasonable specifically because it follows a larger one, independent of the reciprocity pressure). Neither component requires the other party to be unaware of the sequence to work — both operate even when the larger request was expected to be refused, which is precisely why the technique is not simply "ask for less than you want."

Cialdini, Vincent, Lewis, Catalan, Wheeler & Darby (1975): The foundational field experiment first asked participants to commit to an extensive, multi-year volunteer counseling role, which was refused as expected; researchers then "retreated" to a much smaller request — chaperoning a single zoo trip. Compliance with the smaller request was substantially higher among participants who had first refused the larger request than among a separate group asked the smaller request directly with no prior larger ask, isolating the specific effect of the large-request-then-retreat sequence rather than the smaller request's inherent appeal.

Cialdini, "Influence: The Psychology of Persuasion" (1984, 5M+ copies): Cialdini names reciprocity as one of six universal principles of influence and situates door-in-the-face specifically within it: because a concession from the other side creates a felt obligation to reciprocate, and because a genuine (not merely stated) retreat from a larger ask is itself experienced as a concession, the sequence reliably produces higher compliance than a direct request of the same final size, provided the initial request is large but still plausible rather than absurd.

Read the full file on GitHub · 65 lines

Changes

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.

  1. 4d ago First seen · 65 lines · 76 tokens per session scan A cdd025576d25

Subscribe to this mod's changes

apply-door-in-the-face is a skill published in the GitHub repository jeffreytse/grimoire-core (5 stars, last pushed 5d ago), licensed MIT. It adds 76 tokens to every session and 1,812 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 2026-10-17.