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 VoxTechnologies/anty-framework --skill retention-cohortsgit clone --depth 1 https://github.com/VoxTechnologies/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/voxtechnologies/anty-framework/retention-cohorts)<a href="https://agentmods.dev/skills/voxtechnologies/anty-framework/retention-cohorts"><img src="https://agentmods.dev/badge/skills/voxtechnologies/anty-framework/retention-cohorts/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/voxtechnologies/anty-framework/retention-cohorts"><img src="https://agentmods.dev/badge/skills/voxtechnologies/anty-framework/retention-cohorts.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 | $0.00078 | $0.01325 |
| Opus 5 | $0.00039 | $0.00662 |
| Sonnet 5 | $0.00016 | $0.00265 |
| Haiku 4.5 | $0.00008 | $0.00133 |
Grade A, and why
retention-cohorts 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- retention-cohorts — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Retention & Cohort Analysis
When to Apply
- Measuring product-market fit
- Deciding whether to invest in growth vs product improvement
- When the founder asks "do we have PMF?"
- When retention data is available from integrations
- Quarterly PMF reassessment
Core Framework
Three Definitions (Set During Onboarding)
Before any retention measurement, guide the founder to define:
-
Cohort grouping — How new users are grouped
- Weekly: daily-use products
- Monthly: utility products
- Quarterly: infrequent-use products (travel, tax)
-
Active action — What counts as "active." Must reflect genuine value delivery.
- Ask: "Imagine watching a customer use your product. What moment tells you they're genuinely getting value?"
- B2B SaaS: "completed a core workflow"
- Consumer: "engaged with 3+ pieces of content"
- Marketplace: "completed a transaction"
-
Time granularity — How often users should ideally use the product. Cross-check against chosen action for consistency.
Triangle Chart (Cohort Retention Table)
Week 0 Week 1 Week 2 Week 3 Week 4 Week 5
Jan 100% 62% 45% 38% 35% 34% <- flattening
Feb 100% 58% 41% 33% 31% ...
Mar 100% 65% 50% 42% ...
Apr 100% 71% 55% ... <- improving
Curve Shape Analysis (Most Important Insight)
Analyze SHAPE, not absolute numbers:
| Curve Shape | PMF Signal | Agent Action |
|---|---|---|
| Flattening (stabilizes at any level) | PMF detected | Shift to growth Drivers. "Retention flattening at ~34%. Even Google Photos flattened at 20-40%." |
| Declining to zero (no stabilization) | No PMF | Shift to product/activation Drivers. Trigger WHY analysis. "Users not sticking. Understand why before investing in growth." |
| Rising (curves go up over time) | Strong PMF + network effects | Propose aggressive scaling. "Retention increasing — extremely strong signal." |
| Newer cohorts better | Product improving | "Product improvements working — newer cohorts retain better." |
| Newer cohorts worse | Product or acquisition degrading | "Warning: newer cohorts retain worse. Investigate product quality or acquisition quality." |
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 · 108 lines · 78 tokens per session scan A 7421f54d273a
retention-cohorts is a skill published in the GitHub repository VoxTechnologies/anty-framework (6 stars, last pushed 5mo ago), licensed MIT. It adds 78 tokens to every session and 1,325 once invoked, about $0.0004 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.
Other skills, from other repositories
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…
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).…
pipeline
Cash Machine 10-step B2B sales pipeline with 3 presets, verifiable checkpoints per step, trajectory logging, bottleneck detection with utilization formula, lead qualification gate (BANT 6-criteria), pipeline velocity and stall detection (2x threshold), two-tier probability scoring, BBS tracking, end-of-quarter…
plan-b
Plan B framework — 6 environmental forces monitoring, pre-mortem 5-step process, scenario planning with auto-trigger points, Devil's Advocate on every proposal, 100-day gate reviews, S-curve awareness, 5 hurdles to Plan B execution, boomerang prevention. Use when preparing contingencies, monitoring environmental…
quest-interview
QUEST Socratic interview methodology — beginner stance, empathic neutrality, downward/upward questioning, echo questions, concept identification, permission checks, critical point pursuit, anti-pattern safeguards, resolution imbalance diagnostic, workaround discovery, painkiller vs vitamin test, locally famous test.…
review-engine
5-question review framework (result, execution, plan, strategy, analysis), KPI propagation monitoring with 4-layer anomaly patterns, One-Way/Two-Way Door classification, withdrawal decision protocol, and assumption provenance auditing. Use during periodic reviews, buffer zone changes, or when evaluating why results…