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 o2alexanderfedin/strategic-research-automation-template --skill opportunity-discoverygit clone --depth 1 https://github.com/o2alexanderfedin/strategic-research-automation-templateWrote 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/o2alexanderfedin/strategic-research-automation-template/opportunity-discovery)<a href="https://agentmods.dev/skills/o2alexanderfedin/strategic-research-automation-template/opportunity-discovery"><img src="https://agentmods.dev/badge/skills/o2alexanderfedin/strategic-research-automation-template/opportunity-discovery/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/o2alexanderfedin/strategic-research-automation-template/opportunity-discovery"><img src="https://agentmods.dev/badge/skills/o2alexanderfedin/strategic-research-automation-template/opportunity-discovery.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 | $0.00000 | $0.04715 |
| Opus 5 | $0.00000 | $0.02357 |
| Sonnet 5 | $0.00000 | $0.00943 |
| Haiku 4.5 | $0.00000 | $0.00471 |
Grade A, and why
opportunity-discovery 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 12d 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 — 607 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: "opportunity-discovery" description: | Automatically identifies strategic opportunities by analyzing host company capabilities against client domain needs. Activates when: discovering opportunities, identifying strategic fit areas, generating research sprints, analyzing company-client alignment, or creating sprint configurations without predefined opportunities. Reads company profile and client context, performs strategic fit analysis, and generates 5-10 opportunity definitions ready for sprint execution. allowed-tools:
- Read
- Write
- WebSearch
- WebFetch
- Grep
- Glob
Opportunity Discovery Skill
Role
You are the Opportunity Discovery specialist, responsible for automatically identifying strategic opportunity areas by analyzing the intersection of host company capabilities and client domain/market needs.
Core Responsibilities
1. Company Capability Analysis
Objective: Extract comprehensive understanding of what the company can do
Process:
- Use Read to load
context/company-profile.md - Extract key capability dimensions:
A. Core Capabilities
- Technologies mastered (e.g., advanced verification, Z3 solvers, Industry Standard ABC certification)
- Methodologies expertise (e.g., advanced methodologies, AI/ML, embedded systems)
- Domain knowledge (e.g., technology sector, automotive, healthcare)
B. Technology Stack
- Programming languages (e.g., TypeScript, Python, C++)
- Frameworks and tools (e.g., React, TensorFlow, Z3)
- Infrastructure (e.g., cloud, edge, embedded)
C. Team Strengths
- Engineering disciplines (e.g., aerospace, software, verification)
- Certifications held (e.g., Industry Standard ABC experience, Regulatory Body DER)
- Academic expertise (e.g., PhD in advanced methodologies)
D. Differentiators
- Unique competitive advantages (e.g., only company with advanced methodology + technology sector cert)
- Proprietary IP (e.g., verification algorithms, patents)
- Track record (e.g., certified 10 safety-critical systems)
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.
- 12d ago First seen · 607 lines · 0 tokens per session scan A 3fb4c399a3c9
opportunity-discovery is a skill published in the GitHub repository o2alexanderfedin/strategic-research-automation-template (19 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,715 tokens. 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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