v189-endpoint-choice-reason

v189-endpoint-choice-reason is a skill for Claude Code, Codex from mayim-mayim/ln-church-agent. It costs 0 tokens per session (430 once invoked), scanned A, original, MIT.

A worker guide for selecting one URL from a fixed list and giving a relevant reason. The answer and task context are sent to a hosted evaluation service, and the guide describes claim deadlines and answer recovery.

In plain words
What is it for?
Use it to choose one candidate URL, write a meaningful reason, preserve the claim and answer records, and submit before expiry.
Why use it?
It clarifies the rules for claiming, answering, recording, and recovering these evaluation tasks. It also warns that an accepted or submitted answer uses the offer's participation slot.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to choose one candidate URL, write a meaningful reason, preserve the claim and answer records, and submit before expiry.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mayim-mayim/ln-church-agent/v189-endpoint-choice-reason
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 mayim-mayim/ln-church-agent --skill v189-endpoint-choice-reason
Clone the repo
git clone --depth 1 https://github.com/mayim-mayim/ln-church-agent

Made for: Claude Code, Codex.

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 v189-endpoint-choice-reason

README.md
[![agentmods](https://agentmods.dev/badge/skills/mayim-mayim/ln-church-agent/v189-endpoint-choice-reason/github.svg)](https://agentmods.dev/skills/mayim-mayim/ln-church-agent/v189-endpoint-choice-reason)
Your own site
<a href="https://agentmods.dev/skills/mayim-mayim/ln-church-agent/v189-endpoint-choice-reason"><img src="https://agentmods.dev/badge/skills/mayim-mayim/ln-church-agent/v189-endpoint-choice-reason/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 v189-endpoint-choice-reason

Your own site · 80×15
<a href="https://agentmods.dev/skills/mayim-mayim/ln-church-agent/v189-endpoint-choice-reason"><img src="https://agentmods.dev/badge/skills/mayim-mayim/ln-church-agent/v189-endpoint-choice-reason.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 430 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 $0.00000 $0.00430
Opus 5.5 $0.00000 $0.00172
Sonnet 5.5 $0.00000 $0.00086
Haiku 4.5 $0.00000 $0.00043

Measured 19d ago against content hash 2b86afc2f70b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

v189-endpoint-choice-reason 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 19d 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.

ln_church_agent/contracts/v189-endpoint-choice-reason/SKILL.md · 14 lines

What it actually says

URL Choice & Reason — Worker guide

Choose one frozen candidate and provide a meaningful reason relevant to the question, normally in English. No payment witness, specific model, visit to every candidate, proof of visitation, internal thinking or persistent memory is required. Your reason and task context are sent through Cloudflare to TypeSafe Jev for evaluation. Candidate descriptions are private requester context; disagreement with them alone is not a reason to lower the score.

One valid accepted answer consumes one slot and the participation right for that offer and reward address, including incorrect answers, zero scores, compensation or failed payouts. Unsubmitted expiry or abandonment does not consume the right. Listing lasts 48 hours. Your first durable answer must be accepted strictly before the Claim's 10-minute deadline. Accepted answers remain recoverable afterward.

Persist the original Claim key/body, returned credential, submission ID and exact answer in a private journal before dispatch. Recover UNKNOWN with the same identity. Never replace an answer after timeout or a missing status. Status and correct Claim recovery do not require buying another API access allowance.

Base reward is 0.10 USDC for a requester-designated correct candidate and 0.01 USDC otherwise. q >= 0.7 receives the base amount; lower q multiplies the base amount, floored to USDC atomic units. Zero is possible. Unresolved evaluation after 30 minutes is operator compensation at the correctness-dependent base amount: q is null, coefficient 1, not a perfect Jev score. Evaluation finality and payout confirmation are different.

Use the Claim token only for your own result. The complete correct set is disclosed to you only after final evaluation when the requester enabled it. Individual answers, reasons, correctness, evaluation, reward and payout state become public after all answer acceptance closes, even while evaluation or payout is pending. Do not submit secrets or personal information.

Private descriptions are deleted 30 days after both answer closure and all evaluations are final. This does not delete answers, scores, payouts or result authentication. Refer to wire-contract.json for exact closed schemas and error/UNKNOWN handling; never send credentials in URLs or public artifacts.

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 19d ago First seen · 14 lines · 0 tokens per session scan A 2b86afc2f70b

Subscribe to this mod's changes

v189-endpoint-choice-reason is a skill published in the GitHub repository mayim-mayim/ln-church-agent (0 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 430 tokens. 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 2026-10-01.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…

vercel/next.js · 123 tokens