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 BingHanOfUESTC/open_agent_team --skill web-research-briefinggit clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_teamWrote 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/binghanofuestc/open_agent_team/web-research-briefing)<a href="https://agentmods.dev/skills/binghanofuestc/open_agent_team/web-research-briefing"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/web-research-briefing/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/binghanofuestc/open_agent_team/web-research-briefing"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/web-research-briefing.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 | $0.00000 | $0.00470 |
| Opus 5 | $0.00000 | $0.00235 |
| Sonnet 5 | $0.00000 | $0.00094 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
web-research-briefing 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.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Research Briefing
Use this skill when Boss provides no material, or when provided material is insufficient for the requested PPT.
Research Plan
Create a search plan before collecting facts:
decision / communication goal
key questions
priority source types
queries
exclusion rules
freshness requirements
Source Priority
1. Official primary sources: company, regulator, government, standards body, university, project owner.
2. Original publications: papers, reports, filings, datasets.
3. Reputable secondary sources: recognized media or analyst summaries.
4. Low-confidence web content only for leads, not final claims.
Source Pack Schema
| id | title | url | publisher | date | accessed | key facts | planned use | confidence |
Image Source Pack
When public images are needed:
Prefer official pages, press/media kits, product pages, project pages, Wikimedia/CC sources or user-approved sources.
Record image page URL, direct image URL when available, publisher/owner, license or rights note, accessed date and intended slide use.
Pass approved image URLs to image_asset_agent for download into materials/images/raw/.
Video Source Pack
When public videos are needed:
Prefer official product pages, company channels, conference pages, university/project pages, reputable media embeds, or open-license video sources.
Record video page URL, title, publisher/channel, date, duration when known, thumbnail URL when available, license or rights note, accessed date and intended slide use.
Pass approved video URLs and thumbnail URLs to image_asset_agent for materials/media/media_manifest.json.
If download or embedding is not clearly permitted, use a thumbnail plus clickable source link rather than downloading the video.
Rules
Do not fabricate URLs.
Do not use a single weak source for a central claim.
Record access date for web sources.
Mark facts as uncertain when sources conflict.
Keep copyrighted text summarized, not copied.
Do not use unclear-rights images for external-facing decks without explicit review.
Do not use unofficial video mirrors or unclear-rights videos for external-facing decks without explicit review.
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 · 73 lines · 0 tokens per session scan A 10510e6156b0
web-research-briefing is a skill published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 470 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 2026-09-03.
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