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 julianoczkowski/product-manager --skill pm-opportunity-scoringgit clone --depth 1 https://github.com/julianoczkowski/product-managerWrote 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/julianoczkowski/product-manager/pm-opportunity-scoring)<a href="https://agentmods.dev/skills/julianoczkowski/product-manager/pm-opportunity-scoring"><img src="https://agentmods.dev/badge/skills/julianoczkowski/product-manager/pm-opportunity-scoring/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/julianoczkowski/product-manager/pm-opportunity-scoring"><img src="https://agentmods.dev/badge/skills/julianoczkowski/product-manager/pm-opportunity-scoring.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 | $0.00084 | $0.00990 |
| Opus 5 | $0.00042 | $0.00495 |
| Sonnet 5 | $0.00017 | $0.00198 |
| Haiku 4.5 | $0.00008 | $0.00099 |
Grade A, and why
pm-opportunity-scoring 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 11d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opportunity Scoring (Pragmatic Framework: Focus / Business)
Evaluate candidate opportunities objectively so a decision rests on evidence, not the
loudest voice. Score each opportunity on four attributes using a 1-to-5 scale where
1 = Least Favorable and 5 = Most Favorable. See ../pm-copilot/references/framework.md.
The four attributes (1 = least favorable, 5 = most favorable)
| Attribute | What it measures | 1 (least) → 5 (most) |
|---|---|---|
| Distinctive Competencies | How much it relies on abilities we already have (valued, different, provable) | 1 = requires building a new competency → 5 = directly uses existing strong competencies |
| Competitive Landscape | Size/strength of alternatives | 1 = highly competitive (rival has pricing power/brand equity) → 5 = low competition (we can freeze out the market) |
| Investment Level | Resources (people, material, facilities) required | 1 = very high (ground-up build) → 5 = very low (re-use existing assets) |
| Impact to Buyers/Users | Consequences for current & potential customers | 1 = negative outweighs positive → 5 = significant positive impact / high ROI for buyer |
Total = sum of the four scores (4–20). Rank opportunities by total, but read the per-attribute scores too — a low Investment + high Impact "no brainer" may beat a higher total that depends on a competency you don't have.
Method
- List the candidate opportunities (ideally ones already validated as urgent, pervasive
and willing-to-pay — see
pm-market-problems). - Score each attribute 1–5 and write the rationale (the evidence) for each score.
- Sum, rank, and discuss — especially where scores are low on Distinctive Competencies (can we really win?) or Investment (can we afford it?).
Interview the user for inputs (batch questions)
- What are the opportunities to compare? (Name each + the market problem it solves.)
- For each: do we already have the competencies to deliver it, or must we build them?
- How competitive is the space (who else, how entrenched)?
- Rough investment — reuse existing assets, or ground-up?
- Expected impact/ROI for buyers and users (and any downside)?
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.
- 11d ago First seen · 73 lines · 84 tokens per session scan A 6328ffe3a2f2
pm-opportunity-scoring is a skill published in the GitHub repository julianoczkowski/product-manager (32 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 990 once invoked, about $0.0004 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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