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 deciqAI/knowledge-skills --skill ar-dso-disciplinegit clone --depth 1 https://github.com/deciqAI/knowledge-skillsWrote 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/deciqai/knowledge-skills/ar-dso-discipline)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/ar-dso-discipline"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/ar-dso-discipline/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/deciqai/knowledge-skills/ar-dso-discipline"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/ar-dso-discipline.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 | $0.00070 | $0.00643 |
| Opus 5 | $0.00035 | $0.00321 |
| Sonnet 5 | $0.00014 | $0.00129 |
| Haiku 4.5 | $0.00007 | $0.00064 |
Grade A, and why
ar-dso-discipline 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AR & DSO Discipline — Get Paid Faster
Overview
Days Sales Outstanding (DSO) is the average time to collect after a sale. For any business that invoices, uncollected receivables are cash you earned but can't use — and late payment is the quiet killer of otherwise healthy SMBs. Getting paid faster is usually the cheapest source of cash a founder has: no dilution, no debt, just discipline and better terms.
The Process
- Measure DSO and aging — average collection time + a bucketed aging report (0–30, 31–60, 61–90, 90+).
- Invoice instantly and correctly — same-day, clear terms, right contact; delays compound. Gate: invoicing days after delivery silently adds days to DSO.
- Shift terms upstream — deposits, milestones, upfront, autopay/card-on-file; reduce net terms where you can.
- Systematize follow-up — automated reminders before and after due date, escalating cadence (pairs with an AR/AP operator agent). Gate: ad-hoc, emotional chasing = inconsistent collections; make it a scheduled sequence.
- Make paying easy — online payment, multiple methods, one click.
- Enforce consequences — late fees, work-stop, or credit holds for chronic offenders; fire unprofitable late-payers.
When to Use
- Cash tight while revenue looks fine
- Growing overdue/aged receivables
- Service/B2B businesses on net terms
Applying It Well
- Deposits/upfront beat any collection tactic — design them in.
- Consistent automated reminders outperform sporadic personal chasing.
- Track DSO monthly as a core cash KPI, not an afterthought.
Red Flags
- No aging report; not knowing who owes what.
- Invoicing late or with errors that restart the clock.
- Tolerating chronic late-payers without consequence.
Verification
- DSO + aging report in place
- Same-day accurate invoicing
- Deposits/upfront/autopay applied where possible
- Automated escalating follow-up sequence running
Part of deciqAI Knowledge Skills — 237 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/s/ar-dso-discipline · Built by deciqAI · github.com/deciqAI · Contributions welcome.
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 · 44 lines · 70 tokens per session scan A 4e89cf332f2b
ar-dso-discipline is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 70 tokens to every session and 643 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 2026-08-31.
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