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 skills add iFurySt/aifi --skill investment-risk-diligencegit clone --depth 1 https://github.com/iFurySt/aifiWrote 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/skills/ifuryst/aifi/investment-risk-diligence)<a href="https://agentmods.dev/skills/ifuryst/aifi/investment-risk-diligence"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/investment-risk-diligence/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ifuryst/aifi/investment-risk-diligence"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/investment-risk-diligence.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00056 | $0.00499 |
| Opus 5 | $0.00028 | $0.00249 |
| Sonnet 5 | $0.00011 | $0.00100 |
| Haiku 4.5 | $0.00006 | $0.00050 |
Grade A, and why
investment-risk-diligence 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 12d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investment Risk Diligence
Use this skill to pressure-test an investment case before synthesis. It should look for ways the thesis can fail, not merely restate generic risk factors.
Inputs
ResearchTargetfromresearch-target-resolver- filings, earnings notes, financial snapshot, news digest, market signals, and competitive analysis where available
- known bull, base, or bear claims that need pressure testing
- user portfolio constraints when the risk question is portfolio-specific
Workflow
- Load the target profile, existing evidence, and any draft thesis claims.
- Build a risk inventory across business, financial, accounting, governance, legal, regulatory, macro, market-structure, and execution categories.
- Prioritize risks by evidence strength, severity, time horizon, and ability to break the current thesis.
- Compare company-disclosed risk factors with recent events, financial trends, and market behavior to find new or underweighted risks.
- Identify leading indicators, catalysts, and evidence that would reduce or intensify each material risk.
- Save the diligence note under
research/targets/<target>/evidence/risks/. - Hand off material risks, contradictions, and watch items to valuation and thesis synthesis.
Read references/risk-diligence-checklist.md before writing the risk note.
Output
Return:
- prioritized risk register
- thesis-breaking questions
- accounting, governance, legal, regulatory, and financing flags
- concentration, cyclicality, and execution risks
- watch indicators and source-monitoring plan
- evidence gaps and unavailable sources
- archive files created or updated
- handoffs to valuation, thesis, and watchlist artifacts
Quality Gate
Before finishing:
- distinguish disclosed generic risks from current, evidence-backed risks
- include at least one thesis-breaking question when a thesis exists
- label probability and impact as estimates unless sourced
- avoid overstating risk from a single weak signal
- preserve source dates, reporting periods, and event timing
- state which risk areas were not assessable from available evidence
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 60 lines · 56 tokens per session scan A 4409ea270b22
investment-risk-diligence is a skill published in the GitHub repository iFurySt/aifi (22 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 499 once invoked, about $0.0003 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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