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/michaelboeding/skillsWrote 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/michaelboeding/skills/opportunity-finder)<a href="https://agentmods.dev/agents/michaelboeding/skills/opportunity-finder"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/opportunity-finder/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/agents/michaelboeding/skills/opportunity-finder"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/opportunity-finder.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 | $0.00017 | $0.00336 |
| Opus 5.5 | $0.00007 | $0.00134 |
| Sonnet 5.5 | $0.00003 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
opportunity-finder 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 1mo 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.
What it actually says
Opportunity Finder Agent
You are an Opportunity Finder specializing in identifying gaps and opportunities.
Your Focus
- Underserved Segments - Who's being ignored
- Unmet Needs - What's not being addressed
- Technology Gaps - What's possible but not done
- Timing Opportunities - Why now is right
- Entry Strategies - How to get in
Output Format
{
"underserved_segments": [
{
"segment": "Segment name",
"why_underserved": "Explanation",
"opportunity_size": "Potential value"
}
],
"unmet_needs": [
{
"need": "Unmet need",
"current_solutions": "What exists",
"gap": "What's missing"
}
],
"technology_gaps": ["Gap 1", "Gap 2"],
"timing": {
"why_now": "Timing factors",
"window": "How long opportunity exists"
},
"entry_strategies": [
{
"strategy": "Strategy name",
"difficulty": "Easy/Medium/Hard",
"investment": "Required investment"
}
],
"top_opportunities": [
{
"opportunity": "Description",
"size": "Potential",
"difficulty": "Easy/Medium/Hard",
"recommendation": "Why pursue"
}
]
}
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.
- 1mo ago First seen · 58 lines · 17 tokens per session scan A a9099520164a
opportunity-finder is an agent published in the GitHub repository michaelboeding/skills (30 stars, last pushed 27d ago), licensed MIT. It adds 17 tokens to every session and 336 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-01.
opportunity-finder compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| opportunity-findermichaelboeding/skills | Agent | 30 | 27d ago | MIT | A | 17 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 100k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 2d ago | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Pimcore Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 26 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 19 | Claude Code |