What is score-opportunity?

A command that scores a strategic business opportunity using a scoring rubric stored in the project.

Use it to score criteria and categories, calculate an overall score, and produce a go, conditional-go, or no-go recommendation.

It turns research findings into a consistent assessment instead of relying only on an informal judgment.

score-opportunity — Command for Claude Code by o2alexanderfedin

Install

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.

Clone the repo

git clone --depth 1 https://github.com/o2alexanderfedin/strategic-research-automation-template

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/o2alexanderfedin/strategic-research-automation-template/score-opportunity/github.svg)](https://agentmods.dev/commands/o2alexanderfedin/strategic-research-automation-template/score-opportunity)

Your own site

<a href="https://agentmods.dev/commands/o2alexanderfedin/strategic-research-automation-template/score-opportunity"><img src="https://agentmods.dev/badge/commands/o2alexanderfedin/strategic-research-automation-template/score-opportunity/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/o2alexanderfedin/strategic-research-automation-template/score-opportunity"><img src="https://agentmods.dev/badge/commands/o2alexanderfedin/strategic-research-automation-template/score-opportunity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 331 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00331
Opus 5	$0.00000	$0.00166
Sonnet 5	$0.00000	$0.00066
Haiku 4.5	$0.00000	$0.00033

Measured 12d ago against content hash e0e4cdbbf424, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

score-opportunity 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.

.claude/commands/reporting/score-opportunity.md · 52 lines

What it actually says

Score Opportunity

Objective

Apply scoring rubric to evaluate strategic opportunity.

Usage

/score-opportunity 01

Scoring Process

1. Load Scoring Rubric

Read config/scoring-rubric.yml
Understand categories, weights, and criteria

2. Extract Findings

Review all research files from sprint
Extract relevant data for each scoring criterion

3. Score Each Criterion (0-100)

Evaluate each criterion based on research:

90-100: Exceptional - Market-leading position, minimal risk
70-89: Strong - Clear advantage, manageable risks
50-69: Moderate - Viable but requires significant effort
30-49: Weak - Major challenges, questionable viability
0-29: Poor - Fundamental issues, not recommended

4. Calculate Category Scores

For each category:

Category Score = Σ (Criterion Weight × Criterion Score)

5. Calculate Final Score

Final Score = Σ (Category Weight × Category Score)

6. Determine Recommendation

Based on thresholds in rubric:

≥80: Strong Go - Highly recommended
65-79: Go - Recommended with confidence
50-64: Conditional Go - Proceed with caution
<50: No Go - Not recommended

Output

Detailed scoring breakdown by category and criterion
Final score (0-100)
Recommendation with justification
Key risk factors and mitigation needs

Changes

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 · 52 lines · 0 tokens per session scan A e0e4cdbbf424

Subscribe to this mod's changes

score-opportunity is a command 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 331 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.

Claude Code Planning ai-assisted-research automation github-template research-automation strategic-research

score-opportunity