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 CarbeneAI/Forge --skill researchgit clone --depth 1 https://github.com/CarbeneAI/ForgeWrote 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/carbeneai/forge/research)<a href="https://agentmods.dev/skills/carbeneai/forge/research"><img src="https://agentmods.dev/badge/skills/carbeneai/forge/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/carbeneai/forge/research"><img src="https://agentmods.dev/badge/skills/carbeneai/forge/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 | $0.00073 | $0.03029 |
| Opus 5 | $0.00036 | $0.01515 |
| Sonnet 5 | $0.00015 | $0.00606 |
| Haiku 4.5 | $0.00007 | $0.00303 |
Grade A, and why
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 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 — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Skill
API Keys Required
This skill works best with these optional API keys configured in ~/.env:
| Feature | API Key | Get It From |
|---|---|---|
| Perplexity Research | PERPLEXITY_API_KEY |
https://perplexity.ai/settings/api |
| Gemini Research | GOOGLE_API_KEY |
https://aistudio.google.com/app/apikey |
| BrightData Scraping | BRIGHTDATA_API_KEY |
https://brightdata.com |
Works without API keys:
- Claude-based research (uses built-in WebSearch)
- Basic web fetching (uses built-in WebFetch)
- Fabric patterns (if Fabric CLI installed)
Workflow Routing
Multi-Source Research Workflows
When user requests comprehensive parallel research:
Examples: "do research on X", "research this topic", "find information about Y", "investigate this subject"
→ READ: ${PAI_DIR}/skills/research/workflows/conduct.md
→ EXECUTE: Parallel multi-agent research using available researcher agents
When user requests Claude-based research (FREE - no API keys):
Examples: "use claude for research", "claude research on X", "use websearch to research Y"
→ READ: ${PAI_DIR}/skills/research/workflows/claude-research.md
→ EXECUTE: Intelligent query decomposition with Claude's WebSearch
When user requests Perplexity research (requires PERPLEXITY_API_KEY):
Examples: "use perplexity to research X", "perplexity research on Y"
→ READ: ${PAI_DIR}/skills/research/workflows/perplexity-research.md
→ EXECUTE: Fast web search with query decomposition via Perplexity API
When user requests interview preparation:
Examples: "prepare interview questions for X", "interview research on Y"
→ READ: ${PAI_DIR}/skills/research/workflows/interview-research.md
→ EXECUTE: Interview prep with diverse question generation
Content Retrieval Workflows
When user indicates difficulty accessing content:
Examples: "can't get this content", "site is blocking me", "CAPTCHA blocking"
→ READ: ${PAI_DIR}/skills/research/workflows/retrieve.md
→ EXECUTE: Escalation through layers (WebFetch → BrightData → Apify)
What ships with it
10 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.
- workflows/ClaudeResearch.md 3.6 KB
- workflows/Conduct.md 21 KB
- workflows/Enhance.md 2.4 KB
- workflows/ExtractKnowledge.md 4.8 KB
- workflows/Fabric.md 14 KB
- workflows/InterviewResearch.md 4.4 KB
- workflows/PerplexityResearch.md 8.1 KB
- workflows/Retrieve.md 14 KB
- workflows/WebScraping.md 1.9 KB
- workflows/YoutubeExtraction.md 1.9 KB
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 · 328 lines · 73 tokens per session scan A f6d0eb02d5ec
research is a skill published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 3,029 once invoked, about $0.0004 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 2026-09-03.
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