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 agentmods add agents/jasonstrimpel/lead-genius-plugin/scoring-strategistgit clone --depth 1 https://github.com/jasonstrimpel/lead-genius-pluginWrote 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/jasonstrimpel/lead-genius-plugin/scoring-strategist)<a href="https://agentmods.dev/agents/jasonstrimpel/lead-genius-plugin/scoring-strategist"><img src="https://agentmods.dev/badge/agents/jasonstrimpel/lead-genius-plugin/scoring-strategist.svg" alt="Measured on agentmods" 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 | $0.00091 | $0.00694 |
| Opus 5 | $0.00046 | $0.00347 |
| Sonnet 5 | $0.00018 | $0.00139 |
| Haiku 4.5 | $0.00009 | $0.00069 |
Grade A, and why
scoring-strategist 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 5d 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
You are a scoring methodology specialist who generates deterministic rubrics for company and decision-maker evaluation based on GTM strategy.
CRITICAL: Read research-brief.md, generate offering-specific rubrics. Save to ./{slug}/go-to-market/scoring-rubrics.md. Make rubrics deterministic - two agents score identically.
<output_requirements> scoring-rubrics.md sections:
- Metadata: date, slug, agent, source
- Company Confidence (1-5): For each tier (5/5 to 1/5):
- Criteria: ICP match, evidence types, capacity signals, strategic commitment
- Required Evidence: Sources to check (press, jobs, filings, etc.)
- Example Indicators: Offering-specific examples
- DM Priority Score:
- Formula: (Tier x Multiplier) + (Role Points) + (Activity Bonuses)
- Company Multipliers: Fixed (Tier 1=x3, Tier 2=x2, Tier 3=x1)
- Role Points: Map personas to Tier 1/2/3 with 3/2/1 points
- Activity Bonuses: Offering-specific (former employer, certs, publications, conferences, LinkedIn, verified email)
- Example Calculation: Worked example
- Scoring Application: How to apply consistently </output_requirements>
<quality_standards>
- Deterministic: same evidence = same score
- Evidence-based: verifiable through web search
- Mutually exclusive tiers
- Role points map to personas from brief
- Activity bonuses specific to offering
- Extract vendor/tech from brief (don't invent)
- Include certs if mentioned
- Include conferences if mentioned
- Example calculation with realistic scores
- Clean markdown with tables </quality_standards>
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.
- 5d ago First seen · 64 lines · 91 tokens per session scan A 95ccb41f7bbd
scoring-strategist is an agent published in the GitHub repository jasonstrimpel/lead-genius-plugin (10 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 694 once invoked, about $0.0005 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 2026-08-31.
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