apply-costly-commitment-screening

apply-costly-commitment-screening is a skill for Claude Code from jeffreytse/grimoire-core. It costs 81 tokens per session (1,964 once invoked), scanned A, original, MIT.

A screening method that asks people seeking scarce time or mentorship to complete a specific piece of work before receiving access.

In plain words
What is it for?
Use it to design commitment tests for mentoring, advising, coaching, or other limited-access support.
Why use it?
It helps distinguish people who are likely to follow through from people who only express interest in a conversation.

Skill for Claude Code

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

Part of the grimoire-business plugin — 145 skills shipped together

Good fit Use it to design commitment tests for mentoring, advising, coaching, or other limited-access support.

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Install with agentmods
npx agentmods add skills/jeffreytse/grimoire-core/apply-costly-commitment-screening
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-costly-commitment-screening
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 145 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-costly-commitment-screening

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/apply-costly-commitment-screening"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-costly-commitment-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,964 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 $0.00081 $0.01964
Opus 5 $0.00041 $0.00982
Sonnet 5 $0.00016 $0.00393
Haiku 4.5 $0.00008 $0.00196

Measured 9d ago against content hash 876925af4f36, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

apply-costly-commitment-screening 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 9d 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/leadership/skills/apply-costly-commitment-screening/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 Costly Commitment Screening

When many people request your scarce time or mentorship and a conversation cannot reliably reveal their genuine commitment level, require a specific, costly, objectively verifiable unit of self-directed output before engaging — because completing that output is a filter that only genuinely committed people pass, while a conversation alone can be passed by anyone regardless of actual follow-through.

Why This Is Best Practice

Why best: This is the mirror image of costly signaling: instead of the scarce-resource holder sending a costly signal to attract others (as in apply-talent-value-signaling), the scarce-resource holder here designs a costly test and lets others sort themselves by whether they complete it — a mechanism formally known in economics as screening. The specific design requirement is that the test cost almost nothing to the genuinely committed (who were going to produce that output anyway on the path to their actual goal) while being prohibitively effortful for someone who wants access or validation without genuine follow-through — this asymmetry in the cost of completing the test is what makes it an effective filter, not the specific content of the test itself.

Spence, "Job Market Signaling" (1973): Spence's foundational work on informational asymmetry established that when one party cannot directly verify another party's underlying quality (motivation, ability, genuine commitment), a costly action that is cheap for the genuine type and expensive for the non-genuine type can substitute for direct verification — because only someone who actually possesses the underlying quality would find the action worth the cost. Requiring a completed body of self-directed work before offering scarce mentorship applies exactly this logic in the reverse direction from a company signaling to attract talent: here, the party requesting access is the one whose type needs to be revealed.

Rothschild & Stiglitz, "Equilibrium in Competitive Insurance Markets" (1976): This companion body of economic theory to Spence's signaling work formalized "screening" — the specific mechanism where the party who lacks information (here, the mentor, who cannot directly observe a requester's true commitment level) designs a menu or test that different underlying types will respond to differently, allowing the uninformed party to sort applicants by type without needing to assess commitment directly through conversation or claims. A completed, verifiable body of work (a specific count of finished attempts) is precisely this kind of screening device: it requires no judgment call from the mentor and produces a hard, binary sorting outcome.

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. 9d ago First seen · 65 lines · 81 tokens per session scan A 876925af4f36

Subscribe to this mod's changes

apply-costly-commitment-screening is a skill published in the GitHub repository jeffreytse/grimoire-core (4 stars, last pushed 24d ago), licensed MIT. It adds 81 tokens to every session and 1,964 once invoked, about $0.0004 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 2026-09-03.