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 modimihir07/agentic-os --skill research-synthesisgit clone --depth 1 https://github.com/modimihir07/agentic-osWrote 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/modimihir07/agentic-os/research-synthesis)<a href="https://agentmods.dev/skills/modimihir07/agentic-os/research-synthesis"><img src="https://agentmods.dev/badge/skills/modimihir07/agentic-os/research-synthesis/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/modimihir07/agentic-os/research-synthesis"><img src="https://agentmods.dev/badge/skills/modimihir07/agentic-os/research-synthesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00012 | $0.00203 |
| Opus 5.5 | $0.00005 | $0.00081 |
| Sonnet 5.5 | $0.00002 | $0.00041 |
| Haiku 4.5 | $0.00001 | $0.00020 |
Grade A, and why
research-synthesis 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
Research Synthesis
Description
Performs multi-source web research on a topic, synthesizes findings into a structured report with citations, key insights, and actionable recommendations.
When to Use
- Investigating a new technology
- Competitive analysis
- Learning a new topic
- Market research
- Technical deep-dive
Process
- Define research scope and questions
- Search web via agy CLI for multiple sources
- Extract key findings per source
- Cross-reference and validate
- Synthesize into structured report
- Add citations and source metadata
Output
Research report with sections: summary, findings, sources, recommendations
Agent Assignment
- Primary: agy
- Fallback: opencode (for formatting only)
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 35 lines · 12 tokens per session scan A f976e2d8871a
research-synthesis is a skill published in the GitHub repository modimihir07/agentic-os (208 stars, last pushed 3d ago), licensed MIT. It adds 12 tokens to every session and 203 once invoked, about $0.0000 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 2026-08-30.
Other skills, from other repositories
research-agent
Multi-source deep research with synthesis and inline citations. Use when user asks to research a topic, compare technologies, do competitive analysis, or investigate a subject in depth.
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms.
apps
Build and iterate on schema-backed Swarm Apps with live models, named queries, custom actions, and json-render interfaces using the app-upsert, app-get, app-list, and app-patch tools.
kapso-whatsapp
How to interact with Kapso WhatsApp from the swarm — read inbound webhook payloads (text AND media), fetch message history, send free-form messages within the 24h session window (and template messages outside it), mark-as-read, show the typing indicator, send reactions, download media, verify webhook signatures, and…
swarm-scripts
Bulk, repeat, fan-out, or data-heavy work: write and run swarm scripts (inline script-run, named script-upsert, durable launch-script-run). Covers the script-vs-tool rubric, the authoring contract (args first, ctx second), the seed catalog, connections and secrets, files and bash over the agent-fs drive (ctx.fs…
open-prompt-showreel
Make a design-led motion-graphics video (showreel, eval comparison, feature or bug-hunt story) from one open prompt. Claude Opus at max effort designs, codes and renders the whole thing itself in a scratch dir, with no template and no repo PR. Use for any "make a video for X" / "do a showreel for Y" / "a little…