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-report-formatnpx skills add Abilityai/trinity --skill dd-report-formatgit 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 | $0.00027 | $0.00757 |
| Opus 5 | $0.00014 | $0.00378 |
| Sonnet 5 | $0.00005 | $0.00151 |
| Haiku 4.5 | $0.00003 | $0.00076 |
Grade A, and why
dd-report-format 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Due Diligence Report Format
All specialist agents must output their analysis in this standardized JSON format. This enables automated synthesis by the Deal Lead agent.
Standard Report Structure
{
"metadata": {
"agent": "dd-{specialist}",
"company": "Company Name",
"analysis_date": "2024-01-15T10:30:00Z",
"version": "1.0"
},
"executive_summary": {
"headline": "One-sentence assessment",
"recommendation": "POSITIVE | NEUTRAL | NEGATIVE | CRITICAL",
"confidence": "HIGH | MEDIUM | LOW",
"key_findings": [
"Finding 1",
"Finding 2",
"Finding 3"
]
},
"risk_assessment": {
"overall_score": 35,
"category_scores": {
"category_name": {
"score": 30,
"weight": 0.25,
"rationale": "Brief explanation"
}
},
"red_flags": [
{
"severity": "HIGH | MEDIUM | LOW",
"description": "Description of the red flag",
"evidence": "Supporting evidence",
"mitigation": "Possible mitigation or none"
}
],
"green_flags": [
{
"description": "Positive indicator",
"evidence": "Supporting evidence"
}
]
},
"detailed_analysis": {
"section_name": {
"findings": "Detailed analysis text",
"data": {},
"sources": ["S1", "S2"]
}
},
"sources": [
{
"id": "S1",
"name": "Source name",
"url": "URL",
"tier": 1,
"access_date": "2024-01-15"
}
],
"verification_summary": {
"total_claims": 15,
"verified": 10,
"partially_verified": 3,
"unverified": 1,
"contradicted": 1
},
"follow_up_items": [
{
"priority": "HIGH | MEDIUM | LOW",
"description": "Item requiring further investigation",
"assigned_to": "dd-{specialist} or HUMAN"
}
]
}
Risk Scoring
Use a 0-100 scale where:
- 0-20: Minimal risk (green light)
- 21-35: Low risk (proceed with standard diligence)
- 36-50: Moderate risk (proceed with caution)
- 51-70: High risk (significant concerns)
- 71-100: Critical risk (major red flags)
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 · 126 lines · 27 tokens per session scan A 5718b0c7b956
dd-report-format is a skill published in the GitHub repository Abilityai/trinity (496 stars, last pushed 4d ago), licensed Apache-2.0. It adds 27 tokens to every session and 757 once invoked, about $0.0001 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.
Other skills, from other repositories
dcf-model
Build discounted cash flow valuation workbooks in Excel.
financial-statements
Generate financial statements (income statement, balance sheet, cash flow) with period-over-period comparison and variance analysis. Use when preparing a monthly or quarterly P&L, closing the books and need to flag material variances, comparing actuals to budget, building a financial summary for leadership review, or…
bottleneck-hunter
Supply-chain bottleneck arbitrage. Given a super-trend (AI infra, energy transition, defense, semiconductor reshoring, space economy), decompose its physical supply chain down to Layer 2/3 choke points (optics, lasers, InP/SOI substrates, IC substrates, probe cards, specialty fiberglass...) and surface under-the-radar…
hedging-strategy
Hedging strategy design (beta hedge / option protection / tail risk / cross-asset hedging), including hedge-ratio calculation and cost evaluation.
audit-xls
Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model (including financial-model integrity checks like BS balance, cash tie-out, and logic sanity). Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this…
industry-research
AI Berkshire skill: 行业投资研究：产业链全景扫描 + 四大师个股分析框架. Source: skills/industry-research.md.