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 bestagentkits/agency-skills --skill commercial-skillsgit clone --depth 1 https://github.com/bestagentkits/agency-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/bestagentkits/agency-skills/commercial-skills)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/commercial-skills"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/commercial-skills/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/bestagentkits/agency-skills/commercial-skills"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/commercial-skills.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 | $0.00151 | $0.02225 |
| Opus 5 | $0.00076 | $0.01112 |
| Sonnet 5 | $0.00030 | $0.00445 |
| Haiku 4.5 | $0.00015 | $0.00222 |
Grade A, and why
commercial-skills 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 9d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Commercial — Domain Orchestrator
The Commercial surface is per-deal economics and packaging: how the company prices, packages, approves, and forecasts revenue. This orchestrator forks its context, routes your inquiry to one of seven sub-skills, then returns a digest. Heavy intake (RFP PDFs, pipeline exports, partner agreements) stays in the forked context.
When to invoke
| Symptom | Sub-skill |
|---|---|
| "We're losing deals on price — should we drop prices or repackage?" | pricing-strategist |
| "Can we approve a 40% discount on this Enterprise deal?" | deal-desk |
| "Should we sign with this reseller? What's their tier?" | partnerships-architect |
| "Is our partner channel actually profitable?" | channel-economics |
| "What should our standard discount matrix look like?" | commercial-policy |
| "Help me respond to this 60-page RFP" | rfp-responder |
| "What's our Q4 bookings forecast at current conversion?" | commercial-forecaster |
Routing logic (deterministic)
Same two-signal threshold pattern as business-operations-skills. Single-signal → clarifying question. Mixed signals → highest-confidence first, chain second in follow-up turn.
Signal table
| Signal class | Keywords | Sub-skill |
|---|---|---|
| PRICING | pricing, price, packaging, tier, WTP, willingness to pay, Van Westendorp, value pricing | pricing-strategist |
| DEAL | deal, discount, approval, margin, T&Cs, redline, exception, MSA | deal-desk |
| PARTNERSHIP | partner, reseller, OEM, co-sell, joint GTM, revenue share, channel agreement | partnerships-architect |
| CHANNEL_ECON | channel mix, cost to serve, channel ROI, direct vs partner, channel economics | channel-economics |
| POLICY | commercial policy, discount matrix, T&C library, exception policy, deal framework | commercial-policy |
| RFP | RFP, RFI, RFQ, proposal request, vendor questionnaire, security questionnaire | rfp-responder |
| FORECAST | forecast, bookings, billings, ARR, NRR forecast, pipeline math, funnel projection | commercial-forecaster |
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.
- 9d ago First seen · 146 lines · 151 tokens per session scan A 58983bd3e32e
commercial-skills is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 151 tokens to every session and 2,225 once invoked, about $0.0008 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.
Other skills, from other repositories
commercial-skills
Use when reviewing, approving, or designing commercial motion — pricing models, deal review, discount approval, partnership economics, channel mix, commercial policy, RFP/RFI response, bookings forecast. Triggers on "review this deal", "should we discount", "pricing model", "partner economics", "RFP response"…
market-analysis
Market sizing, epidemiology, and commercial opportunity assessment for drug development. Use for market forecasts, opportunity evaluation, and investment decisions. Keywords: market, epidemiology, prevalence, forecast, sizing, opportunity.
usfiscaldata
Query the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending…
tinker-training-cost
Calculates training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the correct model tokenizer and provides accurate cost estimates.
company-funding-search
Find company funding history, investors, and investment details.
meter-chargeback
CocoMeter chargeback and FinOps governance. Usage: $meter chargeback refresh | $meter chargeback invoice | $meter chargeback onboarding.