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 ololand-ai/ololand-plugins --skill industrial-diligencegit clone --depth 1 https://github.com/ololand-ai/ololand-pluginsWrote 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/ololand-ai/ololand-plugins/industrial-diligence)<a href="https://agentmods.dev/skills/ololand-ai/ololand-plugins/industrial-diligence"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/industrial-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/ololand-ai/ololand-plugins/industrial-diligence"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/industrial-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 | $0.00066 | $0.00731 |
| Opus 5 | $0.00033 | $0.00365 |
| Sonnet 5 | $0.00013 | $0.00146 |
| Haiku 4.5 | $0.00007 | $0.00073 |
Grade A, and why
ololand-dd-industrial-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 7d 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Industrial diligence
Industrial deals live or die on working capital, gross-margin durability, and capex intensity.
Canonical KPIs
| KPI | Definition | Mistake to avoid |
|---|---|---|
| Adjusted gross margin | Revenue − COGS (materials + direct labor + freight-in + overhead), one-time/pricing items disclosed | Excluding freight or overhead absorption |
| Inventory turns | COGS ÷ avg inventory | Using sales in numerator |
| DSO / DIO / DPO | Days sales / inventory / payables outstanding | Quarter-end snapshot vs T-12 avg |
| Cash conversion cycle | DSO + DIO − DPO | Reported as positive when net negative is accurate |
| Capex intensity | Capex ÷ revenue | Reporting maintenance capex separately to deflate |
| Maintenance vs growth capex | Replacement vs new capacity | Sponsor classifies growth as maintenance |
| OEE | Availability × Performance × Quality | Plant-level avg masks bottleneck |
Verifier checklist
- Gross-margin walk by SKU / product family (price, mix, volume, input cost, productivity quantified)
- BOM-level cost validation for top-20 SKUs reconciles to standard cost in GL
- PPV + material usage + labor variance trends
- Inventory quality (aged inventory E&O reserve adequacy, slow-mover analysis, costing methodology)
- Most recent physical count + shrinkage %
- Customer concentration (top-10 % of revenue, contract terms, single-point-of-failure)
- Supplier concentration (top-10 % of COGS, sole-sourced inputs, supplier financial health)
- Working-capital seasonality (24-month monthly view; peak-to-trough; RCF utilization)
- Open POs for capex + in-progress projects + deferred maintenance backlog
- Phase I/II ESA, RCRA, OSHA recordables, TRIR trend, EPA notices
- DB pension funded status; multi-employer withdrawal liability
- Union/CBA expirations within 24 months; prior strikes; wage escalation
- HTS codes for top imports → tariff (232/301/IEEPA) exposure
Common 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.
- 7d ago First seen · 50 lines · 66 tokens per session scan A 8a6591024f19
ololand-dd-industrial-diligence is a skill published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 6d ago), licensed Apache-2.0. It adds 66 tokens to every session and 731 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 2026-09-03.
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