dd-synthesis

A method for combining findings from nine specialist startup due-diligence reports into one investment recommendation.

In plain words
What is it for?
Use it to gather reports, compare their conclusions, identify major concerns, and write a coherent investment decision.
Why use it?
It highlights repeated evidence, disagreements, missing information, risk levels, and positive signals across the reports.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/abilityai/trinity/dd-synthesis
Any agent
npx skills add Abilityai/trinity --skill dd-synthesis
Clone the repo
git clone --depth 1 https://github.com/Abilityai/trinity

Made for: Claude Code, Codex.

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 857 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce 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

Measured 2d ago against content hash 761cd3e1aa93, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

docs/demos/vc-due-diligence/skills/dd-synthesis/SKILL.md · 131 lines

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:

  1. The Opportunity (1 paragraph)

    • What makes this company interesting
    • Market timing and positioning
  2. The Team (1 paragraph)

    • Key strengths and gaps
    • Track record and references
  3. The Risk Profile (2-3 paragraphs)

    • Material risks with evidence
    • Mitigating factors
    • Unresolved questions
  4. 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
}

Read the full file on GitHub · 131 lines

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.

  1. 2d ago First seen · 131 lines · 33 tokens per session scan A 761cd3e1aa93

Subscribe to this mod's changes

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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