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-researchgit 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-research)<a href="https://agentmods.dev/skills/elimorals/jw-agent-toolkit/jw-research"><img src="https://agentmods.dev/badge/skills/elimorals/jw-agent-toolkit/jw-research/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-research"><img src="https://agentmods.dev/badge/skills/elimorals/jw-agent-toolkit/jw-research.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 | $0.00048 | $0.00270 |
| Opus 5 | $0.00024 | $0.00135 |
| Sonnet 5 | $0.00010 | $0.00054 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
jw-research 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 10d 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
JW research (multi-step)
Workflow for open-ended research:
- Call
search_content(query, filter_type="all", language=...)with the user's topic stripped of question framing (e.g. "what does the Bible say about peace?" → search"peace"). - For the top 2-3 results that look most relevant, call
get_article(url)to fetch the full article. - For every Bible reference mentioned in the user's question, call
resolve_referenceto get the canonical URL. - Synthesize the answer. Every doctrinal claim MUST cite a verse or article URL returned by these tools. Do not paraphrase from training data without a source.
Boundaries
- If you cannot find verified sources, say so explicitly. Do not fall back to general knowledge.
- For a single verse, prefer
jw-verse-lookup(lighter). - For meeting prep specifically, prefer
jw-meeting-prep(Phase 7).
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.
- 10d ago First seen · 27 lines · 48 tokens per session scan A e420b0fdbe2a
jw-research is a skill published in the GitHub repository elimorals/jw-agent-toolkit (5 stars, last pushed 25d ago), licensed Apache-2.0. It adds 48 tokens to every session and 270 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
memobase
A Russian-language skill for searching a local knowledge base built from documents and other sources such as web pages, YouTube, audio, and Obsidian notes.
harbor-clerk
Search and read documents from a local Harbor Clerk knowledge base. Use when the user references their personal documents, contracts, notes, emails, or asks "what did I store about X?".
simplicio-learn
Persist what a run taught you so the next run is cheaper and more correct — mine high-signal lessons from the trajectory, dedup them, and write them back to AGENTS.md / memory so they're applied not re-derived. Use after a run or at session end, when the user says "remember this", "do a retrospective", "learn from…
canvas
Fetch Canvas LMS courses and assignments via API token.
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
llama-factory
Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support.