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 skills/abilityai/trinity/dd-synthesisnpx skills add Abilityai/trinity --skill dd-synthesisgit clone --depth 1 https://github.com/Abilityai/trinityWhat 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 | $0.00033 | $0.00857 |
| Opus 5 | $0.00016 | $0.00428 |
| Sonnet 5 | $0.00007 | $0.00171 |
| Haiku 4.5 | $0.00003 | $0.00086 |
Grade A, and why
dd-synthesis 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 2d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Source Synthesis Methodology
As the Deal Lead, you must synthesize reports from 9 specialist agents into a coherent narrative and investment recommendation.
Synthesis Process
Step 1: Gather All Reports
Collect reports from shared folders:
/shared-out/founder-analysis/
/shared-out/market-analysis/
/shared-out/competitor-analysis/
/shared-out/tech-analysis/
/shared-out/bizmodel-analysis/
/shared-out/traction-analysis/
/shared-out/compliance-analysis/
/shared-out/captable-analysis/
/shared-out/legal-analysis/
Step 2: Extract Key Findings
From each report, extract:
- Executive summary headline
- Risk score and top 3 concerns
- Top 3 positive indicators
- Any CRITICAL or HIGH severity red flags
- Unverified claims
Step 3: Identify Patterns
Look for themes across reports:
Corroborating Evidence When multiple specialists cite the same positive or negative:
- Strong team: Founder + Tech + Traction all positive
- Market concern: Market + Competitor + BizModel all flag saturation
Contradictions When specialists disagree:
- Founder says $5M ARR, Traction finds $3M evidence
- Tech says "novel IP", Legal finds prior art
Gaps What wasn't adequately analyzed:
- Missing international market analysis
- No direct customer interviews conducted
Step 4: Build the Narrative
Structure your synthesis as:
-
The Opportunity (1 paragraph)
- What makes this company interesting
- Market timing and positioning
-
The Team (1 paragraph)
- Key strengths and gaps
- Track record and references
-
The Risk Profile (2-3 paragraphs)
- Material risks with evidence
- Mitigating factors
- Unresolved questions
-
The Recommendation (1 paragraph)
- Clear INVEST/PASS/NEGOTIATE stance
- Conditions or terms if applicable
Output Documents
1. Investment Recommendation (JSON)
{
"recommendation": {
"decision": "INVEST | NEGOTIATE | PASS",
"confidence": "HIGH | MEDIUM | LOW",
"conditions": ["condition 1", "condition 2"],
"suggested_terms": {
"valuation_range": "$X-$Y",
"check_size": "$Z",
"special_terms": ["board seat", "pro-rata rights"]
}
},
"synthesis": {
"opportunity_thesis": "Why this could be a great investment",
"primary_risks": ["risk 1", "risk 2", "risk 3"],
"mitigating_factors": ["factor 1", "factor 2"],
"open_questions": ["question 1", "question 2"]
},
"specialist_summary": {
"founder": {"score": 25, "headline": "..."},
"market": {"score": 30, "headline": "..."}
},
"overall_risk_score": 28.5
}
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.
- 2d ago First seen · 131 lines · 33 tokens per session scan A 761cd3e1aa93
dd-synthesis is a skill published in the GitHub repository Abilityai/trinity (496 stars, last pushed 4d ago), licensed Apache-2.0. It adds 33 tokens to every session and 857 once invoked, about $0.0002 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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