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 jpeslar1/john-peslar-ai-skills --skill automation-pricing-and-closegit clone --depth 1 https://github.com/jpeslar1/john-peslar-ai-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/jpeslar1/john-peslar-ai-skills/automation-pricing-and-close)<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/automation-pricing-and-close"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/automation-pricing-and-close/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/jpeslar1/john-peslar-ai-skills/automation-pricing-and-close"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/automation-pricing-and-close.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 | $0.00046 | $0.00990 |
| Opus 5.5 | $0.00018 | $0.00396 |
| Sonnet 5.5 | $0.00009 | $0.00198 |
| Haiku 4.5 | $0.00005 | $0.00099 |
Grade A, and why
automation-pricing-and-close 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 1mo 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automation Pricing and Close
Turn a qualified problem into a sustainable price and an explicit decision. Treat all proposed terms as drafts. A first sale should not create unlimited delivery obligations.
Establish scope and economics
Use the buyer's confirmed problem and success metric, included workflow/integrations, delivery effort, subcontractor and platform costs, support load, buyer dependencies, proof, alternatives, and preferred currency. Ask for missing cost assumptions that materially change the price. If no qualified opportunity exists, give provisional pricing with the discovery gaps.
Separate setup work from recurring work. A one-time workflow with no ongoing service does not justify a retainer by itself. Name monitoring, maintenance, usage, reporting, and support inclusions only when the seller will deliver them. Identify overages and change requests.
Calculate, using supplied or explicitly labeled scenario inputs:
- Delivery cost = labor hours x loaded hourly cost + direct costs + stated contingency.
- Setup floor at target gross margin = setup cost / (1 - margin).
- Monthly floor at target gross margin = recurring cost / (1 - margin).
Specify currency, margin as a fraction below 1, and assumptions. Do not confuse margin with markup: a hypothetical cost of $600 at 50% gross margin implies a $1,200 floor, not $900. A floor is not proof of willingness to pay.
Compare the floor with credible buyer value and alternatives. Use buyer-provided baselines for time or cost savings and show the calculation. Treat uncertain savings as a range. Do not price from fabricated ROI or claim that a particular multiple is universally correct.
Recommend a simple price ladder
Present one recommended paid pilot or setup plus retainer, with an optional alternative only if the tradeoff is meaningful. Explain the deliverables, duration, setup fee, recurring fee if any, billing trigger, customer obligations, scope exclusions, and acceptance process. If the affordable budget is below the delivery floor, reduce scope or decline; do not hide losses in an uncapped guarantee.
What ships with it
1 file 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.
- 1mo ago First seen · 67 lines · 46 tokens per session scan A d9e62e0cd4e5
automation-pricing-and-close is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (12 stars, last pushed 18d ago), licensed MIT. It adds 46 tokens to every session and 990 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-09.
automation-pricing-and-close compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| automation-pricing-and-closejpeslar1/john-peslar-ai-skills | Skill | 12 | 18d ago | MIT | A | 46 | Claude Code, Codex |
| sector-rotationHKUDS/Vibe-Trading | Skill | 38k | yesterday | MIT | A | 39 | Claude Code, Codex |
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| multi-expert-analyzerdigoal/blog | Skill | 8.6k | 2d ago | GPL-2.0 | A | 292 | Codex |