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 Ingramradical235/anty-framework --skill unit-economicsgit clone --depth 1 https://github.com/Ingramradical235/anty-frameworkWrote 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/ingramradical235/anty-framework/unit-economics)<a href="https://agentmods.dev/skills/ingramradical235/anty-framework/unit-economics"><img src="https://agentmods.dev/badge/skills/ingramradical235/anty-framework/unit-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/ingramradical235/anty-framework/unit-economics"><img src="https://agentmods.dev/badge/skills/ingramradical235/anty-framework/unit-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 | $0.00083 | $0.01374 |
| Opus 5 | $0.00042 | $0.00687 |
| Sonnet 5 | $0.00017 | $0.00275 |
| Haiku 4.5 | $0.00008 | $0.00137 |
Grade A, and why
unit-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 10d 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
100% identical to unit-economics — 0 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unit Economics
When to Apply
- Evaluating channel profitability
- Before scaling any acquisition channel
- When NDR or gross margin changes
- Quarterly unit economics review
- When the founder proposes increasing spend on a channel
Core Framework
CLV vs CAC Per Channel
Track unit economics per channel, not in aggregate:
Channel Health Dashboard:
LinkedIn Outreach:
CAC: $45 | CLV: $2,400 | Ratio: 53x | Verdict: EXCELLENT
NDR: 125% | Trend: stable
Paid Ads (Google):
CAC: $180 | CLV: $800 | Ratio: 4.4x | Verdict: ACCEPTABLE
NDR: 95% | Trend: slight shrinkage
Cold Email:
CAC: $320 | CLV: $600 | Ratio: 1.9x | Verdict: DANGER
NDR: 80% | Trend: leaking
-> "Cold email has marginal unit economics.
Propose: pause, reallocate budget to LinkedIn."
Ratio benchmarks:
- < 1x: Losing money per customer (CRITICAL)
- 1-3x: Marginal, needs improvement
- 3-5x: Acceptable
- 5x+: Healthy, scale candidate
- 10x+: Excellent, aggressive scaling warranted
NDR (Net Dollar Retention) Monitoring
NDR measures whether existing cohorts grow or shrink over time:
| NDR Range | Status | Action |
|---|---|---|
| >125% | Excellent | Cohorts growing fast. Strong expansion. Scale acquisition. |
| 100-125% | Healthy | Cohorts stable or growing. Normal operation. |
| 90-100% | Warning | Slight shrinkage. Investigate churn and downgrade causes. |
| <90% | Leaky bucket | Cohorts shrinking significantly. Fix retention before acquisition. |
Target for early-stage B2B: 125%+
NDR < 100% means you must continuously acquire new customers just to maintain revenue. The business is on a treadmill.
Gross Margin Awareness
For AI-powered products, API costs are REAL COGS:
Revenue per customer: $49/mo
COGS breakdown:
Claude API: $8/mo (16%)
Infrastructure: $3/mo (6%)
Third-party APIs: $4/mo (8%)
Support allocation: $2/mo (4%)
--------------------------------
Total COGS: $17/mo (35%)
Gross margin: $32/mo (65%)
Viable threshold: >60% for SaaS
Status: ACCEPTABLE (65%)
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.
- 10d ago First seen · 144 lines · 83 tokens per session scan A 784ac39fc770
unit-economics is a skill published in the GitHub repository Ingramradical235/anty-framework (1 stars, last pushed today), licensed MIT. It adds 83 tokens to every session and 1,374 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to unit-economics, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
unit-economics
Unit economics health monitoring — CLV vs CAC per channel, NDR monitoring (>100% healthy, CLV), channel health dashboard format. Use when evaluating channel profitability, monitoring revenue health, or before scaling any acquisition channel.
choice-architecture
Nudge-based choice architecture for 3-option selection UI — smart default vs active choice, outcome mapping, channel factors, RECAP, operational transparency with source attribution, post-decision reinforcement, error-forgiving undo, peak-end session design, user contribution acknowledgment. Use when presenting…
culture-map
Erin Meyer's Culture Map with 8 dimensions, 5 launch presets (US, JP, DE, UK, FR), Layer A agent-user adaptation, Layer B content-target market adaptation, and anti-sycophancy tone calibration per culture. Use when adapting communication style to the founder's culture, localizing content for target markets, or when…
failure-essence
4 strategic failure patterns from Essence of Failure — dual-objective trap (conflict stress test), strategic ambiguity (operationalizability test), withdrawal decision protocol (pre-committed stop conditions, re-present biweekly), assumption provenance auditing (source, verification, load-bearing flag, sample size).…
kpi-tree
KPI tree decomposition from Goal to Drivers, formula-based factorization, impactweight assignment and dynamic update, Crux identification via importance x tractability, constraint Driver identification, input vs output metric classification. Use when decomposing Goals, prioritizing Drivers, or re-evaluating impact…
network-effects
Andrew Chen's Cold Start Problem framework — atomic network definition with thresholds by product type, anti-peanut-buttering, zero tracking, escape velocity 3-force decomposition (engagement/acquisition/economic), growth ceiling 5-force detection, competitive position dynamics, T2D3 benchmark. Use for products with…