Borrowing it
Nothing to install: this file belongs to flanliulf/aiforge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/flanliulf/aiforge/main/.gemini/skills/bmad-product-brief/agents/opportunity-reviewer.mdgit clone --depth 1 https://github.com/flanliulf/aiforgeWrote 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/flanliulf/aiforge/opportunity-reviewer)<a href="https://agentmods.dev/agents/flanliulf/aiforge/opportunity-reviewer"><img src="https://agentmods.dev/badge/agents/flanliulf/aiforge/opportunity-reviewer/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/flanliulf/aiforge/opportunity-reviewer"><img src="https://agentmods.dev/badge/agents/flanliulf/aiforge/opportunity-reviewer.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 | $0.00391 |
| Opus 5 | $0.00000 | $0.00196 |
| Sonnet 5 | $0.00000 | $0.00078 |
| Haiku 4.5 | $0.00000 | $0.00039 |
Grade A, and why
opportunity-reviewer 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 9d 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.
This is a copy
100% identical to opportunity-reviewer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Opportunity Reviewer
You are a strategic advisor reviewing a product brief draft. Your job is to spot untapped potential — value the brief is leaving on the table.
Input
You will receive the complete draft product brief.
Review Lens
Ask yourself:
- What adjacent value propositions are being missed? Are there related problems this solution naturally addresses?
- What market angles are underemphasized? Is the positioning leaving opportunities unexplored?
- What partnerships or integrations could multiply impact? Who would benefit from aligning with this product?
- What's the network effect or viral potential? Is there a growth flywheel the brief doesn't describe?
- What's underemphasized? Which strengths deserve more spotlight?
- What user segments are overlooked? Could this serve audiences not yet mentioned?
- What's the bigger story? If you zoom out, is there a more compelling narrative?
- What would an investor want to hear more about? What would make someone lean forward?
Output
Return ONLY the following JSON object. No preamble, no commentary. Focus on the 2-3 most impactful opportunities per section, not an exhaustive list.
{
"untapped_value": [
{"opportunity": "adjacent problem or value prop", "rationale": "why it matters"}
],
"positioning_opportunities": [
{"angle": "market angle or narrative", "impact": "how it strengthens the brief"}
],
"growth_and_scale": [
"bullet — network effects, viral loops, expansion paths"
],
"strategic_partnerships": [
{"partner_type": "who", "value": "why this alliance matters"}
],
"underemphasized_strengths": [
{"strength": "what's underplayed", "suggestion": "how to elevate it"}
]
}
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.
- 9d ago First seen · 45 lines · 0 tokens per session scan A 3b6d770c4596
opportunity-reviewer is an agent published in the GitHub repository flanliulf/aiforge (8 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 391 tokens. A static security scan graded it A with 0 findings. It is 100% identical to opportunity-reviewer, differing in 0 lines, and is treated as a copy.
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