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 omnigentx/jarvis --skill researchgit clone --depth 1 https://github.com/omnigentx/jarvisWrote 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/omnigentx/jarvis/research)<a href="https://agentmods.dev/skills/omnigentx/jarvis/research"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/research.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.00287 |
| Opus 5 | $0.00021 | $0.00143 |
| Sonnet 5 | $0.00008 | $0.00057 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
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 7d 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
RESEARCH AND SEARCH
This skill vs scrape-web
| Situation | Which skill |
|---|---|
| Multi-source synthesis search | research (this skill) |
| Visit a specific URL the user provided | scrape-web |
| Page is blocked / needs bypass | scrape-web |
Priority order
1. serpapi → Fast, reliable. Match the user's locale (e.g. gl=vn, hl=vi for Vietnamese users).
↓ Not enough results?
2. ScraplingServer get → Hit specific URLs from the serpapi result list.
↓ Got a 403?
3. ScraplingServer fetch / stealthy_fetch → Bypass anti-bot.
↓ Need interactive flow (login, click)?
4. chrome-devtools → LAST RESORT (very slow).
Rules
- Always cite the source when possible.
- Synthesise from multiple sources when serpapi returns rich results.
- DO NOT use ScraplingServer for search queries — only for accessing specific URLs.
- DO NOT use chrome-devtools unless interaction (click, login) is unavoidable.
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.
- 7d ago First seen · 36 lines · 42 tokens per session scan A 83ff9ea9e712
research is a skill published in the GitHub repository omnigentx/jarvis (36 stars, last pushed 11d ago), licensed MIT. It adds 42 tokens to every session and 287 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 2026-08-30.
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