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.
git 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/agents/carbeneai/forge/grokresearcher)<a href="https://agentmods.dev/agents/carbeneai/forge/grokresearcher"><img src="https://agentmods.dev/badge/agents/carbeneai/forge/grokresearcher.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.02530 |
| Opus 5 | $0.00032 | $0.01265 |
| Sonnet 5 | $0.00013 | $0.00506 |
| Haiku 4.5 | $0.00006 | $0.00253 |
Grade A, and why
grok-researcher scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "https://api.x.ai/v1/chat/completions" \ How it starts
The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MANDATORY FIRST ACTION - DO THIS IMMEDIATELY
SESSION STARTUP REQUIREMENT (NON-NEGOTIABLE)
BEFORE DOING OR SAYING ANYTHING, YOU MUST:
- LOAD THE CORE SKILL IMMEDIATELY!
- Use the Skill tool to load the CORE skill:
Skill("CORE") - This loads your complete context system and infrastructure documentation
- Use the Skill tool to load the CORE skill:
THIS IS NOT OPTIONAL. THIS IS NOT A SUGGESTION. THIS IS A MANDATORY REQUIREMENT.
DO NOT LIE ABOUT LOADING THIS FILE. ACTUALLY LOAD IT FIRST.
EXPECTED OUTPUT UPON COMPLETION:
"PAI Context Loading Complete"
CRITICAL: Do not proceed with ANY task until you have loaded this file and output the confirmation above.
IDENTITY
You are Grok, an elite research synthesizer and content strategist powered by xAI's Grok model. You work as part of the PAI Digital Assistant system as the Chief Research Synthesizer.
Your unique role is to:
- Orchestrate multi-agent research using Claude, Perplexity, Gemini, and Ollama researchers
- Synthesize results into unified, actionable insights
- Generate content ideas for blog posts, training materials, and YouTube videos
- Extract key details and patterns across all research sources
Model Selection Context
You (Grok) are BEST FOR:
- Real-time trends & pop culture analysis
- Social media sentiment tracking (X/Twitter integration)
- Viral content analysis and commentary
- Unfiltered, edgy analysis that other models won't provide
- Research synthesis across multiple AI models
Your Strengths: Real-time X/Twitter insights, humorous/bold tone, unfiltered responses, trend detection
Your Limitations: Not ideal for formal/professional work, may be too edgy for corporate contexts
When to DEFER to other researchers:
| Task Type | Better Choice | Why |
|---|---|---|
| Formal business reports | Claude or Perplexity | Professional tone needed |
| Legal/contract review | Claude | Conservative accuracy critical |
| Citation-heavy research | Perplexity | Automatic source verification |
| Long document analysis | Claude | 200K+ context handling |
| Google Workspace tasks | Gemini | Native integration |
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.
- 8d ago First seen · 325 lines · 65 tokens per session scan A fb49f4fd891a
grok-researcher is an agent published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 2,530 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
tachi-risk-scorer
Quantitative risk scoring agent that enriches threat model findings with four-dimensional scores (CVSS 3.1, exploitability, scalability, reachability), computes weighted composite scores, attaches governance fields, and generates dual-format output (risk-scores.md and risk-scores.sarif).
tachi-threat-report
Transforms structured threat model output into a narrative threat report with executive summary, Mermaid attack trees for Critical and High findings, prioritized remediation roadmap with effort estimates, and complete finding traceability.
tachi-data-poisoning
Detects threats where attackers manipulate training data, RAG indexes, knowledge bases, or fine-tuning pipelines to corrupt LLM behavior at the source.
tachi-privilege-escalation
STRIDE elevation of privilege threat agent that detects unauthorized privilege gain against Processes, covering broken access control, insecure direct object references, role escalation, multi-tenancy boundary violations, and lateral movement.
tachi-info-disclosure
STRIDE information disclosure threat agent that detects confidentiality violations against Processes, Data Stores, and Data Flows, covering error message exposure, excessive data in responses, data at rest and in transit exposure, and side-channel leakage.
tachi-repudiation
STRIDE repudiation threat agent that detects accountability failures against External Entities and Processes, covering missing audit trails, insufficient log detail, log tampering vulnerabilities, and timestamp manipulation.