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 britt/agent-skills --skill research-topic-summarizegit clone --depth 1 https://github.com/britt/agent-skillsWrote 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/britt/agent-skills/research-topic-summarize)<a href="https://agentmods.dev/skills/britt/agent-skills/research-topic-summarize"><img src="https://agentmods.dev/badge/skills/britt/agent-skills/research-topic-summarize/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/britt/agent-skills/research-topic-summarize"><img src="https://agentmods.dev/badge/skills/britt/agent-skills/research-topic-summarize.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 | $0.00055 | $0.00715 |
| Opus 5 | $0.00028 | $0.00358 |
| Sonnet 5 | $0.00011 | $0.00143 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
research-topic-summarize 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 9d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Topic and Summarize Skill
Conduct thorough web research on a topic, synthesize findings into a detailed summary, and capture screenshots of key visuals.
Prerequisites
- Web search/fetch access is required for the core research loop.
- Screenshots require a browser automation tool (e.g. Playwright MCP). If none is available, do not fake images — link to the visual's source URL and describe it in text instead of embedding an image.
When to Use
Activate when:
- Evaluating a technology, library, or tool
- Learning about a new concept or pattern
- Comparing options (X vs Y)
- Gathering background for a decision
When NOT to use: For deep, multi-source fact-checked reports, prefer a dedicated deep-research capability if one is available. Skip entirely for questions answerable from local docs or code — read those directly.
Output Structure
## Research: [Topic]
### Summary
[Paragraph overview - what it is, why it matters, current state]
### Background
[Context, history, or foundational concepts needed to understand the topic]
### Key Findings
#### [Finding 1 Title]
[Detailed explanation with specifics, numbers, examples]
#### [Finding 2 Title]
[Detailed explanation with evidence from sources]
### Comparisons
| Aspect | Option A | Option B |
|--------|----------|----------|
| [Criteria] | [Detail] | [Detail] |
### Visual References
-  — [what this shows]
-  — [what this shows]
### Sources
1. [Title](url) — [what this source contributed]
2. [Title](url) — [what this source contributed]
### Analysis
- **Strengths**: [detailed pros]
- **Weaknesses**: [detailed cons]
- **Gaps**: [what the research didn't answer]
### Recommendation
[Actionable conclusion with reasoning]
Research Guidelines
Depth of Coverage
- Provide enough detail to make decisions without re-reading sources
- Include specific numbers, versions, dates when relevant
- Explain concepts, don't just name them
- Note conflicting information across sources
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.
- 9d ago First seen · 108 lines · 55 tokens per session scan A 8f886da0802c
research-topic-summarize is a skill published in the GitHub repository britt/agent-skills (5 stars, last pushed 6d ago), licensed MIT. It adds 55 tokens to every session and 715 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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