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 channel-economicsgit 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/channel-economics)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/channel-economics"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/channel-economics/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/channel-economics"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/channel-economics.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 | $0.00170 | $0.02995 |
| Opus 5 | $0.00085 | $0.01497 |
| Sonnet 5 | $0.00034 | $0.00599 |
| Haiku 4.5 | $0.00017 | $0.00299 |
Grade A, and why
channel-economics 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.
This is a copy
98% identical to channel-economics — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
channel-economics
Purpose
Help Head of Commercial / RevOps / VP Sales answer three questions at the quarterly channel review:
- What does each channel actually cost to serve, fully loaded? (direct headcount, channel manager attribution, partner discount, MDF, enablement time, support load, allocated overhead)
- What is the ROI of each channel under three lenses? (cash ROI year-1, LTV-adjusted ROI, marginal ROI — next dollar of investment)
- What is the optimal channel mix subject to our strategic constraints? (minimum direct floor, maximum partner concentration ceiling, sensitivity to CAC shifts)
The skill emits per-channel verdicts (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT), a sensitivity-tested mix recommendation, and the diminishing-returns inflection point. It does not pick the strategy — humans do, with the numbers loaded honestly for the first time.
When to use
- Quarterly channel review: pipeline is 60/40 or 50/50 direct vs partner and you don't actually know which one is profitable
- Considering hiring a channel manager — need to know if the channel can clear the loaded-cost bar
- Partner program ROI question from the board ("we spent $X on MDF — what did we get?")
- A segment is over-indexed to one channel and you suspect mix dogma is blocking the other
- About to expand into a new region and need to decide direct-first vs partner-first
- M&A diligence: target company claims "partner-led at 70% gross margin" — need to validate after loading
Do not use for:
- Designing partner tiers, joint GTM motion, revshare splits →
partnerships-architect - SDR-to-AE routing, lead scoring, MQL definitions →
business-growth/revenue-operations - Strategic CRO decisions ("should we hire a VP Sales?", comp plan design) →
c-level-advisor/cro-advisor - Quarterly close, GAAP revenue recognition, channel-level P&L for historical reporting →
finance/financial-analysis - Per-deal discount approval →
deal-desk - Pricing model design →
pricing-strategist
What ships with it
8 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.
- agents/openai.yaml 210 B
- assets/channel_data_template.md 7.9 KB
- references/channel_anti_patterns.md 7.7 KB
- references/channel_economics_canon.md 5.6 KB
- references/cost_to_serve_canon.md 6.5 KB
- scripts/channel_mix_optimizer.py 12 KB runs code
- scripts/channel_roi_analyzer.py 9.2 KB runs code
- scripts/cost_to_serve_calculator.py 7.7 KB runs code
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 · 157 lines · 170 tokens per session scan A fb1b193f7efc
channel-economics is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 170 tokens to every session and 2,995 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to channel-economics, differing in 7 lines, and is treated as a copy.
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