Borrowing it
Nothing to install: this file belongs to renfei-design/Figma-AI-Bridge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/renfei-design/Figma-AI-Bridge/main/.github/skills/online-research/SKILL.mdgit clone --depth 1 https://github.com/renfei-design/Figma-AI-BridgeWrote 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/renfei-design/figma-ai-bridge/online-research)<a href="https://agentmods.dev/skills/renfei-design/figma-ai-bridge/online-research"><img src="https://agentmods.dev/badge/skills/renfei-design/figma-ai-bridge/online-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/renfei-design/figma-ai-bridge/online-research"><img src="https://agentmods.dev/badge/skills/renfei-design/figma-ai-bridge/online-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 | $0.00056 | $0.01323 |
| Opus 5 | $0.00028 | $0.00661 |
| Sonnet 5 | $0.00011 | $0.00265 |
| Haiku 4.5 | $0.00006 | $0.00132 |
Grade A, and why
online-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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Online Research
Fetch live web data to ground content in current facts. Research first, create second. Use this skill whenever content accuracy depends on information that may have changed since training.
When to Use
- User asks to "research," "look up," "compare," or "find the latest" on any topic
- Content involves pricing, specs, rankings, dates, or statistics that change over time
- User explicitly wants current/accurate data (not training knowledge)
- Creating a doc or brief on a topic where outdated info would hurt credibility
Prerequisites
fetch_webpagetool available (built into the agent)- For Figma doc output: combine with the
figma-docskill
Workflow
1. Identify What Needs to Be Current
Before researching, determine:
- What claims need live sourcing? (pricing, specs, rankings, dates, availability)
- What can use training knowledge? (concepts, history, frameworks, opinions)
- What's the user's actual question? (don't over-research tangents)
2. Select Sources
Choose 2–5 authoritative sources per topic. Prioritize:
| Source type | When to use | Examples |
|---|---|---|
| Official product pages | Pricing, specs, features | Vendor pricing pages, product docs |
| Aggregator / comparison sites | Cross-vendor comparisons | Review sites, benchmark aggregators |
| Documentation / API docs | Technical specs, API details | Official developer docs |
| News / blog posts | Recent announcements, launches | Tech news sites, official blogs |
| Data sources | Statistics, market data | Industry reports, public datasets |
Source selection principles:
- Primary over secondary — official docs over blog summaries
- Multiple sources for contested claims — cross-reference pricing, benchmarks
- Recency matters — prefer sources updated within the last 3 months
- Fallback sources — if a primary source 403s or redirects, use aggregators
3. Fetch and Extract
Use fetch_webpage with:
- urls: array of 1–3 URLs per fetch call
- query: specific question to focus extraction
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.
- 11d ago First seen · 147 lines · 56 tokens per session scan A 3b767dd01437
online-research is a skill published in the GitHub repository renfei-design/Figma-AI-Bridge (16 stars, last pushed 6mo ago), licensed MIT. It adds 56 tokens to every session and 1,323 once invoked, about $0.0003 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.
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