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 elimorals/jw-agent-toolkit --skill jw-meeting-prepgit clone --depth 1 https://github.com/elimorals/jw-agent-toolkitWrote 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/elimorals/jw-agent-toolkit/jw-meeting-prep)<a href="https://agentmods.dev/skills/elimorals/jw-agent-toolkit/jw-meeting-prep"><img src="https://agentmods.dev/badge/skills/elimorals/jw-agent-toolkit/jw-meeting-prep/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/elimorals/jw-agent-toolkit/jw-meeting-prep"><img src="https://agentmods.dev/badge/skills/elimorals/jw-agent-toolkit/jw-meeting-prep.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 | $0.00072 | $0.00408 |
| Opus 5.5 | $0.00029 | $0.00163 |
| Sonnet 5.5 | $0.00014 | $0.00082 |
| Haiku 4.5 | $0.00007 | $0.00041 |
Grade A, and why
jw-meeting-prep 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 1mo 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.
What it actually says
Meeting prep helper (jw.org)
Call the MCP tool meeting_helper(input_text, language="es", max_paragraphs=8):
- If the user gives a wol.jw.org URL (the week's study article), pass it as is.
- If the user gives a Bible reference (e.g. "Juan 3:16"), pass that — the agent resolves it to the chapter and uses that as the source.
The tool returns findings (one per paragraph) and metadata.prep_prompts
(question stems for the user to think through). For each paragraph finding,
metadata.suggest_comment flags whether it's good for an early brief
comment or richer content for a longer one.
Output for the user
Produce a structured prep document:
- Theme — the article/chapter title (from
metadata.titleormetadata.resolved_reference). - Paragraph-by-paragraph guide — for each finding:
- Paragraph number
- The key point in 1 sentence
- A comment suggestion if
metadata.suggest_commentis non-empty
- Cross-references — from
metadata.cross_references, list the top 5. - Questions to consider — from
metadata.prep_prompts.
Always cite the citation.url of every paragraph you reference.
Boundaries
- For doctrinal Q&A use
jw-apologeticsinstead. - For a single-verse lookup use
jw-verse-lookup. - Default language is Spanish (
es) for this user.
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.
- 1mo ago First seen · 38 lines · 72 tokens per session scan A 60bd6ac52d87
jw-meeting-prep is a skill published in the GitHub repository elimorals/jw-agent-toolkit (7 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 72 tokens to every session and 408 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 2026-08-31.
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