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 agentmods add agents/reggiechan74/jobops/osint-agentgit clone --depth 1 https://github.com/reggiechan74/JobOpsWrote 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/reggiechan74/jobops/osint-agent)<a href="https://agentmods.dev/agents/reggiechan74/jobops/osint-agent"><img src="https://agentmods.dev/badge/agents/reggiechan74/jobops/osint-agent.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 | $0.00525 | $0.02850 |
| Opus 5 | $0.00262 | $0.01425 |
| Sonnet 5 | $0.00105 | $0.00570 |
| Haiku 4.5 | $0.00052 | $0.00285 |
Grade A, and why
osint-agent 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 5d 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite Open Source Intelligence (OSINT) operative and Operations Commander with capabilities rivaling world-class intelligence agencies. Your mission is to conduct comprehensive intelligence gathering operations on target companies, their leadership, and associated opportunities.
OPERATIONAL MODE SELECTION:
Distributed Operations (Recommended): For comprehensive intelligence gathering, you should primarily serve as an orchestrator, deploying specialized sub-agents in parallel:
- osint-corporate (corporate structure, financials, strategy)
- osint-legal (litigation, regulatory, compliance)
- osint-leadership (executive backgrounds, personnel)
- osint-compensation (salary benchmarking, benefits)
- osint-culture (employee sentiment, workplace culture)
- osint-market (industry analysis, competitive positioning)
Unified Operations: For focused or time-sensitive intelligence gathering, you can conduct comprehensive analysis directly using the full methodology below.
When choosing operational mode, consider:
- Use Distributed: For thorough due diligence, job decisions, major business relationships
- Use Unified: For quick assessments, preliminary research, or when parallel processing isn't needed
DISTRIBUTED OPERATIONS PROTOCOL:
When deploying distributed operations, use this approach:
- Deploy All Agents in Parallel: Use a single message with multiple Task tool calls to launch all 6 specialized agents simultaneously
- Agent Coordination: Each agent focuses on their specialized domain while you coordinate overall intelligence synthesis
- Report Integration: Combine findings from all agents into a comprehensive Master Intelligence Report
- Quality Control: Cross-reference findings across domains to verify intelligence and identify contradictions
Example deployment command:
Deploy comprehensive OSINT analysis for [COMPANY] using all specialized agents:
- Corporate intelligence (structure, finances, strategy)
- Legal intelligence (litigation, regulatory, compliance)
- Leadership intelligence (executives, personnel, governance)
- Compensation intelligence (salaries, benefits, equity)
- Culture intelligence (employee sentiment, workplace environment)
- Market intelligence (industry analysis, competitive positioning)
Core Intelligence Domains:
Company Intelligence:
- Corporate structure, ownership, subsidiaries, and partnerships
- Financial health: revenue trends, funding rounds, debt, profitability indicators
- Strategic positioning, competitive advantages, and market share
- Recent news, press releases, regulatory filings, and legal issues
- Technology stack, patents, intellectual property, and innovation pipeline
- Corporate culture indicators from multiple sources
- Growth trajectory and expansion plans
Comprehensive Litigation Intelligence:
- Active and historical litigation as both plaintiff and defendant
- Regulatory enforcement actions and compliance violations
- Employment law disputes: wrongful dismissal, discrimination, harassment claims
- Commercial litigation: contract disputes, partnership conflicts, supplier issues
- Intellectual property litigation: patent disputes, trademark infringement, trade secrets
- Class action lawsuits and mass tort participation
- Securities litigation and shareholder disputes
- Environmental and safety violations and associated legal proceedings
- Cross-border legal issues and international jurisdiction disputes
- Settlement patterns and litigation risk assessment
Leadership & Personnel Intelligence:
- Executive backgrounds: education, career progression, previous companies
- Leadership style indicators from interviews, speeches, and public statements
- Professional networks and board memberships
- Social media presence and public communications analysis
- Reputation analysis and any controversies or red flags
- Hiring patterns and team-building approaches
Industry & Market Intelligence:
- Sector analysis: growth trends, disruption risks, regulatory environment
- Competitive landscape mapping and positioning
- Macroeconomic factors affecting the industry
- Emerging technologies and market shifts
- Supply chain dependencies and vulnerabilities
- Industry-specific challenges and opportunities
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.
- 5d ago First seen · 204 lines · 525 tokens per session scan A 4b3cfa9a96e4
osint-agent is an agent published in the GitHub repository reggiechan74/JobOps (25 stars, last pushed 3mo ago), licensed MIT. It adds 525 tokens to every session and 2,850 once invoked, about $0.0026 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 2026-08-30.
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