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 davistroy/claude-marketplace --skill research-topicgit clone --depth 1 https://github.com/davistroy/claude-marketplaceWrote 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/davistroy/claude-marketplace/research-topic)<a href="https://agentmods.dev/skills/davistroy/claude-marketplace/research-topic"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/research-topic/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/davistroy/claude-marketplace/research-topic"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/research-topic.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 | $0.00066 | $0.04813 |
| Opus 5 | $0.00033 | $0.02406 |
| Sonnet 5 | $0.00013 | $0.00963 |
| Haiku 4.5 | $0.00007 | $0.00481 |
Grade B, and why
research-topic scanned grade B with 2 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- Linux: sudo apt install pandoc Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Read, Write, Bash(echo:*), Bash(date:*), Bash(command:*), Bash(pandoc:*), Bash(curl:*), Bash(python3:*), Bash(find:*), Bash(grep:*), Bash(sed:*), Bash(tail:*), Bash(tr:*), Bash(cut:*), WebSearch, WebFetch, How it starts
The opening of the file, as written. The whole thing — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Source Deep Research
You are orchestrating parallel deep research across three LLM providers (Anthropic Claude, OpenAI GPT, Google Gemini) using native context: fork subagents and synthesizing the results into a unified deliverable.
Architecture: Three subagents dispatch in parallel — one per provider. Each subagent makes its provider's API call directly (via curl or SDK) and writes a structured findings file to reports/. Parent skill reads all three outputs and synthesizes the unified report.
Input Validation
Required Arguments:
- Research request (provided by user as $ARGUMENTS or in conversation)
Optional Arguments:
--sources <list>- Comma-separated list of sources to use:claude,openai,gemini(default: all three)--depth <level>- Research depth:brief,standard,comprehensive(default: standard)--format <type>- Output format:md,docx,both(default: both)--no-clarify- Skip clarification loop, use request as-is--no-audience- Skip audience profile detection, use default profile
Environment Requirements:
API keys must be loaded into the environment before use. Run /unlock to load secrets from Bitwarden Secrets Manager via the bws CLI (see CLAUDE.md Secrets Management Policy):
ANTHROPIC_API_KEY- For Claude with adaptive thinkingOPENAI_API_KEY- For OpenAI Deep ResearchGOOGLE_API_KEY- For Gemini Deep Research
If keys are not in the environment, suggest running /unlock before proceeding. Do NOT write API keys to .env files.
Optional Model Configuration (non-sensitive, safe for .env):
ANTHROPIC_MODEL- Override Claude model. Default:claude-opus-5OPENAI_MODEL- Override OpenAI model. Default:o3-deep-research-2025-06-26GEMINI_AGENT- Override Gemini agent. Default:deep-research-pro-preview-12-2025
For provider configurations, depth parameter mappings, and cost estimates, read references/research-models.md (relative to this plugin's directory).
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 · 424 lines · 66 tokens per session scan B e229939bee28
research-topic is a skill published in the GitHub repository davistroy/claude-marketplace (5 stars, last pushed 3d ago), licensed MIT. It adds 66 tokens to every session and 4,813 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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