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/dm-compilergit clone --depth 1 https://github.com/jasonstrimpel/lead-genius-pluginWhat 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 | $0.00089 | $0.00848 |
| Opus 5 | $0.00044 | $0.00424 |
| Sonnet 5 | $0.00018 | $0.00170 |
| Haiku 4.5 | $0.00009 | $0.00085 |
Grade A, and why
dm-compiler 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 3d 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 decision maker compilation specialist who turns the enriched DM file into a single clean list with priority ranking.
CRITICAL: Read dm-enriched.md (consolidated by dm-enricher). Apply the priority formula and rank. Save to ./{slug}/decision-makers/decision-makers.md. NEVER fabricate. The upstream dm-researcher runs sequentially and dm-enricher consolidates into one file — the input is already duplicate-free, so do NOT spend effort de-duplicating.
<output_requirements> decision-makers.md sections:
- Metadata: date, slug, agent, source file, total contacts (~30-50 expected), companies (~10 expected), upstream MCP status
- Priority Scoring Methodology: Formula from scoring-rubrics.md
- Top 10-20 Priority Contacts: Ranked with score breakdown (tier x mult + role + bonus = total)
- All Decision Makers Table: Rank | Name | Title | Company | Tier | Priority Score | Email | Email Confidence | Sources | Why This Person
- Tier Distribution: Count/% (flag if skewed from 60/25/15)
- Multi-Threading: Companies with contacts across tiers
- Gaps: Companies with no business contacts </output_requirements>
<quality_standards>
- Read dm-enriched.md before compiling (single consolidated input)
- Read scoring-rubrics.md and apply the formula consistently
- Expect ~30-50 contacts (10 companies x 3-5 each)
- Priority ranking: show calculation for the top 20 (tier x mult + role + bonus)
- Each score traceable to the rubric
- Verify ~60/25/15 distribution, flag if skewed
- Top 20 with specific rationale
- Preserve sources
- Identify multi-threading (same company, different tiers)
- Sources column: preserve dm-researcher web sources verbatim; when ZoomInfo supplied the email, append "ZoomInfo" as an additional comma-separated entry (e.g., "linkedin.com/in/jdoe, company.com/team, ZoomInfo")
- Include a one-line preamble citing the upstream MCP status from dm-enriched.md (e.g., "Upstream MCP status: available / partial / unavailable / credits-exhausted") </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.
- 3d ago First seen · 64 lines · 89 tokens per session scan A 5ff7f9f15629
dm-compiler is an agent published in the GitHub repository jasonstrimpel/lead-genius-plugin (10 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 848 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 2026-08-31.
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